Santa Fe Institute Events Wiki - User contributions [en]

https://wiki.santafe.edu/api.php?action=feedcontributions&feedformat=atom&user=Fsabou Santa Fe Institute Events Wiki - User contributions [en] 2026-04-26T06:40:43Z User contributions MediaWiki 1.40.1 https://wiki.santafe.edu/index.php?title=CSSS_2010_Santa_Fe-After_Hours&diff=37656 CSSS 2010 Santa Fe-After Hours 2010-06-23T19:02:49Z

<p>Fsabou: /* Rodeo! - but on Wednesday night (the 23rd)?? */</p> <hr /> <div>{{CSSS 2010 Santa Fe}}<br /> <br /> == Rodeo! - but on Wednesday night (the 23rd)?? ==<br /> I want to go to the [http://www.rodeodesantafe.org/ rodeo!], but since I'll be leaving early on Saturday, am thinking of going on Wednesday. Interested?? [[Julie Granka]]<br /> *Show starts at 6:30, gates open at 5:30 (so maybe leave after dinner?) (and it's only 15 min away)<br /> *Tickets are only $12<br /> *AND: "The "RODEO! de Santa Fe" Association has added a carnival midway, concessions, vendors, and expanded our beer garden so there is something for everyone." (!!)<br /> <b>JP is willing to lead a group to the Rodeo</b><br /> John Paul's Camry<br><br /> 1. JP<br><br /> 2. [[Micael Ehn]]<br><br /> 3. [[Lynette Shaw]]<br><br /> 4. [[Sarah Wise]]<br><br /> 5. [[User:Ligtvoet|Andreas]]<br /> <br /> <br><br /> Julie's car:<br /> <br /> 1. Julie <br><br /> 2. Thomas <br><br /> 3. Nick <br><br /> 4. Count me in! Let's talk about on Monday [[Borys Wrobel]] <br><br /> 5. Florian <br><br /> <br /> ==Sandia Peak Tramway==<br /> The longest tram in the world is only an hour away from us. The tram takes you up to the top of Sandia Peak (elevation 10,378ft, 3,163m) where there are various hiking trails and scenic viewpoints. The tram operates until 9pm everyday of the week and costs $20 per person. Anybody interested in going? How about next Friday evening (or any other time), we could eat dinner at the Mexican restaurant (Sandiago) in the tram lobby. link-> http://www.sandiapeak.com/ ([[Joseph Gran]])<br /> <br /> Cars:<br /> <br /> Joe's Car:<br><br /> 1.) Megan Olsen <br><br /> 2.) Anna Pechenkina <br><br /> 3.) Yixian Song <br><br /> 4.) Erika Legara<br /> <br /> Andrew's Car:<br><br /> 1.) Kang Zhao <br><br /> 2.) Bogdan State <br><br /> 3.)<br><br /> 4.)<br><br /> <br /> <br /> [[Micael Ehn]] Sounds like fun! <br /> <br /> Count me in! [[Bogdan State]]<br /> <br /> Sounds great! Is this already done? [[Yixian Song]]<br /> <br /> Awesome! [[Anna Pechenkina]]<br /> <br /> Cool, sounds like we've got a group together ... when do we go? any suggestions? [[Joseph Gran]]<br /> <br /> Here's my plan. We go on Wed evening after lectures at SFI. (sorry to those who wish to do the rodeo too). Due to time constraints I think we should eat dinner at St. John's and leave immediately after. Say leave at 5:30 - 5:45. We'll get to the tram at 6:45ish and thus have 2 hours to hangout on top of the mountain. We'll catch the last tram back down at 9pm and be back at St Johns at about 10:30 Whadda'yall say? ([[Joseph Gran]])<br /> --Great plan! [[Anna Pechenkina]]<br /> <br /> I'm in too, and I can drive if needs be! [[Andrew Banooni]]<br /> <br /> I'm in. Any seat left? [[Kang Zhao]]<br /> <br /> ==<strike>Beach</strike> Volleyball on Friday 18th==<br /> ([[Roberta Sinatra]]) We are planning to play a <strike>beach</strike> volleyball match on Friday 18th, at 5 p.m. (the court is <strike>next to</strike> in the Student Activity center, building 48 on the [http://conferenceservices.sjcsf.edu/map.htm map]. It seems that the beach volleyball court is "under construction"). If you are interested, please signup here! :)<br /> * [[Roberta Sinatra]]<br /> * [[Michael Szell]]<br /> * [[Pilar Opazo]]<br /> * [[Damian Blasi]]<br /> * [[Lucas Antiqueira]]<br /> * [[Mark Laidre]]<br /> * [[Megan Olsen]]<br /> <br /> ==Stargazing==<br /> <br /> Here in Santa Fe we have the delightful viewing conditions of a relatively clear-sky, high-altitude, low-light desert environment. We also have access to some telescopes, including an 8"; which we can set up on top of the adjacent building to the Peterson Student Center. If there are people who would like to indulge in some high-grade stargazing...please let us know. (Louis Lerman) <br><br /> [[Stargazing 2010 | Stargazing Signup]]<br /> <br><br /> <br /> Hey Louis, I am interested, my agenda is still free on thursday evening.<br /> [[Erik Van den broecke]]<br /> <br /> == Horseback Trail Riding: Wednesday Evening, June 23rd ==<br /> Suzanne and Ingrid had a great time at [http://www.brokensaddle.com/index.html Broken Saddle Riding Co]. <br><br /> 2 hours of riding in the Cerrillos around sunset. Beautiful views, great horses, and a great trail guide.<br /> <br /> '''I will go this Wednesday evening'''. Leaving from SFI at 4.30pm (just after last lecture), Looking for Transport<br><br /> If you like to join me, just shout [[Erik Van den broecke]]<br /> <br /> <br /> ==El Rancho de las Golondrinas Field Trip==<br /> <br /> Would anyone be interested in a trip to [http://www.golondrinas.org El Rancho de las Golondrinas]? I'd be happy to get one going on Saturday/Sunday.<br /> <br /> Sunday most likely. Let me know if y'all are interested. ([[JP]])<br /> <br /> I would be interested ([[Bogdan State]])<br /> <br /> Sunday works for me. Count me in. ([[Jing Li]])<br /> <br /> I also prefer Sunday. Count me in please. ([[Yixian Song]])<br /> <br /> ==SF Complex Art Show==<br /> <br /> Opening on Thursday 17th is a 3-night art show at the Santa Fe Complex and other nearby galleries. In the projection dome, they will be showing an installation of Daniel's: [http://www.erase.net/projects/atomswarm/ AtomSwarm], an agent-based sonic ecosystem, which uses swarming behaviours and simulated genetics to create a continually evolving environment.<br /> <br /> A few of us are heading down. Anybody interested? Drivers, please make yourself known here! <br><br /> <br><br /> * I'm going on saturday, looking for transport [[Erik Van den broecke]] <br><br /> <br /> * I'm going! Probably just Thursday. I believe JP is happy to drive, around 7/7.30ish..? ([[Daniel Jones]])<br /> * I'll try to get there, but I've got lab... [[Jonathan Cannon]]<br /> * I. I shall go, even if i must crawl on my elbows. Although I'd actually prefer a lift. [[User:Dan90|Dan MacKinlay]]<br /> * I'm in - planning on pedaling down there, but if there's more interest than cars I can drive me + 3. [[Kyla Dahlin]]<br /> * I totally have to go, though don't yet know how. [[Kasia Samson]]<br /> * I'd like to go, I have lab, but I also have a car [[Drew Levin]]<br /> * I'd like to go, maybe on Friday. Anybody wants to have a walk? [[Zhiyuan Song]]<br /> <br /> ==Soccer==<br /> <br /> Lets play soccer today (11/6) at 15:30 ***COMPLETE***<br /> <br /> <br /> ==Art Museums==<br /> <br /> I have two tickets to the Georgie O'Keefe Museum in town and two more to the Harwood Museum in Taos (which is a great little museum). Let me know if you'd like them. ([[Alison Snyder]])<br /> <br /> I'd be interested in Georgia O'Keefe! Are they for a particular day/time?? [[Julie Granka]]<br /> <br /> Alison, are you giving up both tickets to the Georgia O'Keefe museum, or are you using one of them? I'd be interested in going too. [[Andrew Banooni]] (I'm also thinking about going to Taos next weekend, so if you still have those other tickets, I'd love them!)<br /> <br /> ==Soccer Field==<br /> <br /> If anyone would like to use of the soccer field, please contact [mailto:jp@santafe.edu John Paul] so he can put a request in with conference services. We're not the only event on campus, and St. John's may need to use the field from time to time for other events.<br /> <br /> <br /> ==Squash/Tennis==<br /> <br /> Some of you expressed interest in playing Squash and/or Tennis (Mark, Ingrid, Michael,..?). Let's update this section if concrete plans emerge. Also if anyone has information on how/when to use the courts, please post it here.<br /> * Given the fact that I have only black soles, squash is not an option, but tennis would be [[User:Ligtvoet|Ligtvoet]]<br /> * I am interested in playing tennis with anyone, on any day. The hours of the gym are here: http://www.stjohnscollege.edu/campuslife/SF/gym.shtml and I suspect that we can borrow rackets/balls and use the courts during those times. Maybe morning would be a good time, before it gets too hot? ([[Megan Olsen]])<br /> <br /> ==World Cup Viewing==<br /> <br /> It's really more Before Hours, but here in Santa Fe two of the recurring broadcast times for World Cup games are 5:00 AM and 7:30 AM. Is there interest in getting together, either somewhere on campus or--if we're lucky enough--at a local venue to catch a few of the more interesting games before coming to lectures?<br /> <br /> *([[Roberta Sinatra]]) Yes, I am very interested. As an Italian, I cannot miss matches of Italy! ;)<br /> *([[Ana Hocevar]]) I guess I might be up for that as well. Especially for the USA vs. Slovenia match. I do count on all non-US participants to root for Slovenia, of course...<br /> * ([[Roberta Sinatra]]) Someone interested in watching the Italy vs Paraguay match, on Monday (June 14th), at 12.30 pm (half after noon, to avoid confusion - 20.30 in South Africa)?<br /> *([[Joseph Gran]]) Definitely going to watch as much of this as possible. Does the tv in the game room get the games?<br /> *([[Kang Zhao]]) Very interested in watching some games!<br /> *([[Ana Hocevar]]) The tv in the game room (where the table soccer thing is) is suppose to get the games, so see you tomorrow morning (friday 8 am) for Slovenia vs. USA :)<br /> <br /> == Hiking (***Baldy COMPLETE***) ==<br /> <br /> BALDY WAS SWEET! The view was amazing! Check out the pictures!!!!<br /> <br /> There is a whole list of participants who want to hike & climb...<br /> <br /> A quick look at the Let's Go guidebook already shows the following options:<br /> * Santa Fe Baldy 8-9hrs hike<br /> * Pecos Wilderness<br /> * Bandelier National Monument - check<br /> * Santa Fe National Forest, Los Alamos - which also has some historic significance = check<br /> <br /> I would like very much to hike Santa Fe Baldy. It is a 7 mile journey from the parking lot to the peak with an elevation gain of about 3000ft. Various websites recommend getting off the peak before 2pm to avoid afternoon thunderstorms. This implies (assuming 4hrs to the top and an hour lunch) that we need to start hiking around 8am, which in turn means leaving SJC at about 7:15am (or earlier)! I understand this is a serious commitment, so is there any interest in doing this hike with me?? If so I will acquire a trail map and directions to the trail-head parking lot and any other information that will be useful. Here is a description of the hike -> http://www.santafe.com/articles/climbing-santa-fe-baldy/ ([[Joseph Gran]])<br /> <br /> I would be interested ([[Bogdan State]])<br /> I think I'd be up for it too.... which day... Sunday?? ([[Julie Granka]])<br /> Sunday would work for me. I'm going to get a trail map of the area tomorrow, then we can discuss what hike we want to do ([[Joseph Gran]])<br /> New plan - Saturday!<br /> <br /> == Music ==<br /> Some participants will have musical instruments with them. Join the CSSS house band!<br /> <br /> <br /> == SF complex gigs ==<br /> <br /> * [http://sfcomplex.org/?m=20100613&cat=11 "off the rails" dance party] this weekend (12th/13th)<br /> * [http://sfcomplex.org/2010/05/steven-miller-in-concert steve miller in concert] on the 11th<br /> * [http://sfcomplex.org/2010/06/mapping-the-complex-a-demonstration-of-ambient-computing that ambient computing show] they mentioned is on the 17th-19th<br /> <br /> plus, for bonus geek eyecandy points, the SIGGRAPH show<br /> * [http://sfcomplex.org/2010/06/siggraph-party SIGGRAPH party] this saturday the 12th<br /> <br /> == Flamenco ==<br /> <br /> Just noticed that there is a flamenco festival in Albequerque. Could be fun ???<br /> <br /> *[[Erika Fille Legara]]: I'd love to go! When's this?<br /> <br /> == Farmers Markets ==<br /> <br /> The [http://www.santafefarmersmarket.com/ Santa Fe Farmers' Market] is Open Every Tuesday and Saturday in the Santa Fe Railyard! 7am-Noon. <br /> <br /> It would be cool to go before the Bandelier etc. hike ([[Borys Wrobel]]).<br /> <br /> I would like to go this Saturday (June 12)! I have 5 seats in my car, please sign up if you'd like to come! We will eat breakfast at 7:30, and then plan to leave for the farmer's market at 8 in order to be back to leave for hiking at 10.<br /> <br /> Andrew's car:<br><br /> 1.[[Andrew Banooni]]<br><br /> 2.[[Borys Wrobel]]<br><br /> 3.[[Bruno Abrahao]]<br><br /> 4.[[Oana Carja]] yay,sounds lovely!<br><br /> 5. [[Megan Olsen]] How exciting!!<br><br /> <br /> [[Borys Wrobel]]: Yes, it was great fun, thanks Andrew! If someone wants to go next week: there's parking close by (underground) for $1/day, you get to taste a lot of stuff (including weird Native American tea, which we pretty much decided is much better w/o sugar), and there was an artist's market across the street.<br /> <br /> == Trains! ==<br /> <br /> The [http://www.cumbrestoltec.com/ Cumbres and Toltec Scenic Railroad] is one of the longest and most beautiful sections of narrow gauge rail in the US. It is a bit of a hike away, so some car rental might be necessary but it would be awesome!<br /> <br /> * exciting! would like to hear more details on what this field trip may be like. [[Anna Pechenkina]]<br /> <br /> EDIT: More info!<br /> <br /> It seems that we could do this either Saturday the 19 or Sunday the 20. Trains leave every day at 10:00AM from Charma, NM. Charma is about 2:15 hours away by car, and they recommend that you get there 30 minutes early, which means a departure time around 7:00AM. The ride that seems most feasible is the Chama to Osier Roundtrip, which is $75 a person (quite expensive, although it includes lunch if that helps?). The train would get back into Charma at around 4:00PM. I had initially thought of driving out the night before or staying over the night or something, but it seems to me that we could do this as a day trip. I don't have a car but I will figure out how to rent one if people are really interested! More info about rates [https://www.cumbrestoltec.com/schedule-rates/ here]! -- [[Sarah Wise]]<br /> <br /> == Rodeo! ==<br /> There'll be a [http://www.rodeodesantafe.org/ rodeo] in Santa Fe June 23-26, the tickets for Saturday Matinee (10 am) are $10. That's more like 'after CSSS' than 'after hours', but maybe someone will be intererested in going? ([[Borys Wrobel]])).<br /> * thinking about it [[Erik Van den broecke]]<br /> PS. Look up for the Wed Rodeo plans.<br /> <br /> == Board Games ==<br /> I happen to have a nice collection of fun and fairly quick strategic board games. I've talked to a few people who seem interested in getting together from time to time to play some games and unwind. If you think you'd be interested, send me an email or just come up and say hi. I'm thinking our first gathering may be Sunday evening. The games are very easy to learn (so don't be intimidated) and they all exhibit complex behavior (sorry, couldn't resist). Think of it as a fun way to meet people in a new, enjoyable context. [[Drew Levin]]<br /> <br /> We should also get people together to play Mafia! It's kind of a card game, and lots of fun. We were thinking Friday night after the SFI reception could be a good time! [[Megan Olsen]]<br /> <br /> I'd be interested in this [[Micael Ehn]]<br /> <br /> Board games! always fun. Perhaps one of our projects should have been on the effects of being able to use proper nouns in Scrabble. :) ([[Gavin Fay]])<br /> <br /> I'm interested [[Michael Szell]]<br /> <br /> Games tonight (sunday) in the coffee shop. Late notice but come on by if you're interested. I'll be around... and Andrew brought games too! [[Drew Levin]]<br /> <br /> I think I'll just start bringing a few games over to the coffee shop each evening. If you want to play a game, come by and see who's around. There seems to usually be enough people nearby that starting a game should be fairly easy. If you're interested in a longer game, or want to make sure people are around, let me know and we'll work on organizing something more formal. [[Drew Levin]]<br /> <br /> Games tonight (Saturday), We'll be above the Bread Loaf party, hopefully in the room 'behind' the lecture hall on the 2nd floor. I'm planning on starting around 9:30, so come up and join us if you want a break from the party, or if you're looking for something else to do tonight. [[Drew Levin]]<br /> <br /> <br /> ==Bandelier Hike / Valles Caldera / Los Alamos ***COMPLETE***==<br /> <br /> Tom, JP and others are planning a field trip to [http://www.nps.gov/band/ Bandelier National Monument] for Saturday June 12. <b>[[Bandelier Trip 2010| Please sign up]]</b> so we know how many people are going.<br /> <br /> We'll depart the parking circle at <strike> 8:00 </strike>10:00 am, head up to Bandelier to do some hiking <strike>before it gets really hot</strike> when it's really hot, then head up to the [http://en.wikipedia.org/wiki/Valles_Caldera Valles Caldera] and Jemez Caldera in the early afternoon. A trip to the [http://www.lanl.gov/museum/ Bradbury Museum] in Los Alamos will finish the sightseeing, and then maybe dinner in Santa Fe?<br /> <br /> ==Isotopes Game (BASEBALL!!!)***COMPLETE***==<br /> This was sooo much fun. We sat in the first row, got two foul balls and three mini helmets! What a good time! <br /> <br /> I am going to the Isotopes baseball game tomorrow (Thursday) night in Albuquerque. The game starts at 7pm, we'll leave at around 6pm. We can stay for as long as we like. I have 4 seats in my car. Who's coming with me? Beer, hotdogs, and baseball, what could be better :-)? ([[Joseph Gran]])<br /> <br /> # [[Ana Hocevar]]<br /> # [[Gavin Fay]] As the Kool Aid guy would say, Oh Yea.<br /> <br /> <br /> <br /> ==El Farol Field Trip***COMPLETE***==<br /> <br /> A few people were interested in "making a pilgrimage" to El Farol. Any takers?<br /> <br /> I think it would be fun to do after the SFI day on Wednesday. Let's plan ~ 6:00, depart by walking from SFI? It's about a mile and a half. ([[jp]])<br /> <br /> * Did I miss this? If so, there should be another one. It's not really a valid homage to the paper if there are not iterated plays! ([[Lynette Shaw]])<br /> <br /> <br /> ==Aaron Clauset's Lecture***COMPLETE***==<br /> <br /> SFI Omidyar fellow Aaron Clauset will be presenting a talk entitled "[http://www.santafe.edu/gevent/detail/public/103/ The Future of Terrorism]" next Wednesday at 7:00pm. [[Sign Up for Aaron's Lecture | Please Sign Up]] if you'd like to attend so that we have an idea of how to organize transportation.<br /> <br /> == Horseback Trail Riding ***COMPLETE*** ==<br /> We had a great time at [http://www.brokensaddle.com/rates.html Broken Saddle Riding Co]. 2 hours of riding in the Cerrillos around sunset. Beautiful views, great horses, and a great trail guide.<br /> <br /> <br /> == White Water Rafting ***COMPLETE*** ==<br /> We are organising a rafting trip down the Class IV Taos box next Sunday the 20th. The Taos box is meant to be very exciting, but still suitable for first time rafters. So far it is my husband and I, but if anyone else wants to join, you're more than welcome. A couple of caveats: 1) it is EXPENSIVE (~$120) and 2) it is all day (which may interfere with projects. However, if this doesn't put you off, please let me know! [[Susanne Shultz]]<br /> * I'd love to go! [[Micael Ehn]]<br /> * CLass IV eh? [[User:Ligtvoet|Andreas]]<br /> <br /> Here is the webpage for one of the companies. Trips leave from Santa Fe early morning:<br /> http://www.santaferafting.com/<br /> <br /> == VLA ***COMPLETE*** ==<br /> Saturday 19th June - join us on our trip to the [http://www.nrao.edu/index.php/learn/vlavc VLA (Very Large Array)]? ([[Gavin Fay]])<br /> <br /> '''[[VLA signup]]'''<br /> <br /> I'm interested. I have a car that can hold 3 additional people. [[Anne Johnson]]<br /> <br /> Ok - talking with Anne and Borys on Friday, I think we decided to aim for next Saturday (the 19th). We'll try and see if we can get a guided tour at such short notice, but plan on going regardless. ([[Gavin Fay]])<br /> <br /> * Count me in. [[Ana Hocevar]]<br /> * Am keen to go [[Ingrid van Putten]]<br /> * Interested [[Jonathan Cannon]]<br /> * I'd love to see that thing [[Sergey Melnik]]<br /> * I am interested in this. [[Kang Zhao]]<br /> <br /> What time are you guys planning on leaving? I might be up for driving people, but I can't leave too early... [[B. Shiva Mayer]]<br /> <br /> <br /> # It will take about 3.5 hours to get there. The tour will start at 2:00 sharp - we are actually joining another previously scheduled tour. If we leave by 9:30 that will give us time to stop off for a bite of lunch. The tour will last about 1.5 - 2 hours. We will be outside - could be cold, sunny, and/or windy - so check the weather. No food there and make sure to bring water.</div>

Fsabou https://wiki.santafe.edu/index.php?title=Alfred_Hubler%27s_Nonlinear_Dynamics_Lab_2010&diff=36754 Alfred Hubler's Nonlinear Dynamics Lab 2010 2010-06-11T06:36:18Z

<p>Fsabou: /* Thursday June 17, 7:00 pm */</p> <hr /> <div>{{CSSS 2010 Santa Fe}}<br /> <br /> Alfred will be hosting a lab where students get to play around with a few experiments in nonlinear and chaotic physics. <br /> <br /> Class size is limited to 15 students.<br /> <br /> ==Monday June 14, 7:00pm==<br /> 1. [[User:Dan90|Dan MacKinlay]]<br /> <br /> 2. [[User:Ligtvoet|Ligtvoet]] 21:05, 7 June 2010 (UTC)<br /> <br /> 3. [[Lucas Antiqueira]]<br /> <br /> 4. [[Rajani R. Shenoy]]<br /> <br /> 5. [[Zoe Henscheid]]<br /> <br /> 6. [[Gavin Fay]]<br /> <br /> 7. [[Damian Blasi]]<br /> <br /> 8. [[Borys Wrobel]]<br /> <br /> 9. [[Andrew Banooni]]<br /> <br /> 10. [[B. Shiva Mayer]]<br /> <br /> 11. [[Erika Fille Legara]]<br /> <br /> 12. [[Thomson McFarland]]<br /> <br /> 13. [[Kimberly Lewis]]<br /> <br /> 14. [[Anne Johnson]]<br /> <br /> 15. Louis Lerman<br /> <br /> ==Tuesday June 15, 7:00pm==<br /> 1. [[Andrew Hein]]<br /> <br /> 2. [[Massimiliano Spaziani]]<br /> <br /> 3. [[Eric 'Siggy' Scott]]<br /> <br /> 4. [[Ana Hocevar]]<br /> <br /> 5. [[Joe Gran]]<br /> <br /> 6. [[Kang Zhao]]<br /> <br /> 7. [[Vanessa Weinberger]]<br /> <br /> 8. [[Pilar Opazo]]<br /> <br /> 9. [[Bruno Abrahao]]<br /> <br /> 10. [[Anna Pechenkina]]<br /> <br /> 11. [[Ingrid van Putten]]<br /> <br /> 12. [[Megan Olsen]]<br /> <br /> 13. [[Chaitanya Gokhale]]<br /> <br /> 14. [[Zhiyuan Song]]<br /> <br /> 15. [[Kyla Dahlin]]<br /> <br /> 16. [[Oana Carja]]<br /> <br /> ==Wednesday June 16, 7:00am==<br /> <B> PLEASE NOTE THAT THIS IS AN EARLY MORNING CLASS </B><br /> <br /> 1. [[Daniel Jones]]<br /> <br /> 2. [[Katarzyna Samson]]<br /> <br /> 3. [[Griffith Rees]]<br /> <br /> 4. [[Susanne Shultz]]<br /> <br /> 5. [[Erik Van den broecke]]<br /> <br /> 6. [[Tracey McDole]]<br /> <br /> 7. [[Vessela Daskalova]]<br /> <br /> 8. [[Yixian Song]]<br /> <br /> ==Thursday June 17, 7:00 pm==<br /> 1. Jing Li<br /> <br /> 2. [[Micael Ehn]]<br /> <br /> 3. [[Thomas Maillart]]<br /> <br /> 4. Xin Wang<br /> <br /> 5. [[Lynette Shaw]]<br /> <br /> 6. [[Sarah Wise]]<br /> <br /> 7. [[Roberta Sinatra]]<br /> <br /> 8. [[Giovanni Petri]]<br /> <br /> 9. [[Samuel Scarpino]]<br /> <br /> 10. [[Felix Hol]]<br /> <br /> 11. [[Leif Karlstrom]]<br /> <br /> 12. [[Florian Sabou]]</div>

Fsabou https://wiki.santafe.edu/index.php?title=CSSS_2010_Santa_Fe-Blog&diff=36751 CSSS 2010 Santa Fe-Blog 2010-06-11T06:25:48Z

<p>Fsabou: /* Florian Sabou */</p> <hr /> <div>{{CSSS 2010 Santa Fe}}<br /> <br /> Use this page as an informal forum to share your opinion and discuss anything at CSSS'10.<br /> <br /> * [[Michael Szell]]: Some people asked me about the URL of my online game. Here it is: http://www.pardus.at - Enjoy! :) (The tutorial may some time to complete..)<br /> <br /> * June 7 ([[Ana Hocevar]]): So I know my official day of contribution on the blog is not until tomorrow, but I wanted to share this with those who are interested. When I get inspired by someone giving a good talk, I have a tendency to write down some of the statements I find encouraging or funny and so on. So here are my favorite quotes from the first day of lectures (and I hope the lecturers don't mind this):<br /> <br /> "If there is one thing you should learn at the summer school, it's to speak up." -Dan Rockmore<br /> <br /> "Science is a social thing." - Dan Rockmore<br /> <br /> "You start with a beautiful idea and end up with reality." - Dan Rockmore<br /> <br /> "Commit to taking advantage of this opportunity." -Dan Rockmore<br /> <br /> "Let it all marinate up there." -Dan Rockmore<br /> <br /> "And wear sunscreen." -Ginger Richardson<br /> <br /> [[Dan Rockmore]]: Here is a link to the NYR piece I mentioned today <br /> http://www.nybooks.com/articles/archives/2010/jun/24/other-side-science/<br /> Good to meet you all and looking fwd to a great CSSS.<br /> <br /> <br /> ==Monday June 7==<br /> Maria Opazo<br><br /> <br /> ===Alison Snyder<br>===<br /> <br /> I thought it might be interesting to give my perspective on today as a journalist and writer. What I starred and underlined in my notebook, what stuck in my head and why.<br /> <br /> First as a journalist…<br /> <br /> <br /> Schooling Fish<br /> <br /> I’m familiar with some of Iain’s research – the beautiful images and descriptions of phenomena that many curious people outside the sciences have seen and thought about lends itself to visual storytelling -- but today was the first time I heard him discuss his fish work. In particular, I’m going to follow what he’s looking at in terms of how individuals influence others in the group and the (preliminary?) finding that some individuals consistently influence the group. Because it is unpublished, I’ll check in with him periodically to discuss in more detail and see how the research is progressing as well as whether and when he might expect to publish the research.<br /> <br /> <br /> Moiré-ing <br /> <br /> Have you ever seen someone on TV who's striped shirt competed with the gravity of what they were saying? In TV production we pay editors large amounts of money for hours of work to fix moiré-ing so the term “numerical moiré-ing” caught my attention. <br /> <br /> <br /> Chaotic Mixing<br /> <br /> Liz mentioned her CU colleague who described clams that open up to exploit chaotic mixing to mix up their gametes. The counterintuitive idea of systems not only embracing chaos but exploiting it, is a provocative theme to explore in a general audience story. To most people, chaos is something to be avoided.<br /> <br /> <br /> Ideas that got my attention as a writer…<br /> <br /> <br /> Gas Gauges and Indelible Images<br /> <br /> In opening her lecture, Liz used the metaphor of her old car’s gas gauge to illustrate non-linearity. The gauge stayed on full then plunged when the tank was near empty rather than dropping as the gas level dropped. While it was a brief aside about a concept that is very easily understandable to a scientist, it might not be to a non-scientist. To someone who has never heard of or thought about non-linearity, they will understand it the first time they hear this metaphor and they’ll remember it. Even if they forget what the gas needle was illustrating, they can back track. Non-linearity becomes an indelible idea. <br /> <br /> As a writer, the metaphor also reminded me of the power of a simple idea in telling a story. One of the most difficult tasks is parsing the scale of what a story is about. Sometimes the most meaningful way to tell a story about the Empire State building is to describe one of the bricks.<br /> <br /> <br /> In other words, today was full of lots of ideas about research to follow and reminders about how to effectively communicate even the most basic of ideas and the power of doing just that.<br /> <br /> Looking forward to tomorrow…<br /> <br /> ===Kyla Dahlin===<br /> <br /> My notes from today are mostly graphs, equations, and Dan's quoted quote about "what if biologists had tried to develop a theory of gravity." I'd love to see a debate between the math/physics/universality camp and the biology/ecology/sociology/everything is different camp. Seems like an interesting tension within Complex Systems folks. <br /> <br /> So far the self-organization into project groups seems to be going well, and I'm sure it will evolve over time. Tonight a few of us talked about the pressure to collaborate being somewhat foreign - so much of PhD work is so solitary. I'm sure the sociologists would love to track the networks that are forming, the different players, and our final results.<br /> <br /> And I think we all are trying to maintain a balance of fun, thinking, working, and staying level in a world with constantly flowing coffee.<br /> <br /> ===Lucas Antiqueira===<br /> <br /> Some first impressions:<br /> <br /> This first day of lectures was really nice. I was exposed to subjects I'm not quite familiar with, lectures were excellent and inspiring, projects started to evolve. The process of getting to know people continued, there are so many brilliant minds here. <br /> <br /> The summer school is a dream coming true for me. I've been in Santa Fe for only a few days, and I can definitely tell that these days are among the most gratifying in my academic life. And things have just begun!<br /> <br /> Many thanks for the SFI/St.John's staff for the support! Not to mention the food, which is excellent by the way!<br /> <br /> ==Tuesday June 8==<br /> <br /> ===Andrew Banooni===<br /> Some of you have heard me use this analogy, and I’m certain that many others of you have heard it elsewhere, but they say that the amount of material there is to learn in medical school is a bit like trying to drink water from a fire hydrant. One thing that I had not realized until attending yesterday and today’s lectures, however, is how homogeneous that information seems, now that I’ve gotten a taste of the multidisciplinary approach here at SFI. Sure, there are a tremendous number of disease processes that involve vastly different physiologic systems, and don’t even get me started on all the bugs and drugs we have to learn, but it’s all medical. We don’t sit and discuss econometrics (actually I don’t think I’ve ever had a discussion about econometrics), or the influence of individual fish on collective behavior. Over the past two days, I’ve dusted off cobwebs from parts of my brain that I feel I haven’t used in years. I don’t mean to say that I am rusty in certain topics (and completely new to many others), but rather that I feel that in the past 48 hours I have been thinking in ways I haven’t had to think in my graduate training. In medicine, you can survive by learning a tremendous number of facts and then regurgitating them at the appropriate time. We observe, we recognize patterns, we diagnose, we treat. I am so thankful for this refreshing reminder that there is so much more enrichment to be had, that the medical problem I am trying to solve can share many similarities with a physical, financial, or aeronautic one my colleague might be struggling with. I feel inspired by every one of you, very lucky to be here, and I look forward to three amazing weeks! <br /> <br /> ===Andreas Ligtvoet===<br /> ====Liz====<br /> * It's a skill to explain difficult stuff in an easy way.<br /> * Lots of dusting off of things I should know, but forgot. <br /> <br /> ====Peter====<br /> * Some interesting discussion about the end of theory due to access to large amount of data. It doesn't help you understand stuff, though.<br /> * Walmart seems to have enormous amounts of data. A colleague of mine suggested finding ecologies of consumer products. What type of furniture goes best with red napkins?<br /> * We can create huge amounts of non-existant networks and have fun with them.<br /> * An average node degree of about 4 leads to hairballs. What can we do with those?<br /> <br /> ====Iain====<br /> * The larger the group of naive individuals, the (relatively) easier it is to influence it. For 10 individuals you need 50% 'leaders', whereas for larger groups only a few %.<br /> * Another interesting remark either yesterday or today: just because you have a nice model for some fish species, doesn't mean you can apply it to cows or bugs or. ..<br /> * THe details of the system do not matter in a collective transition.<br /> * As soon as you behave differently, you are nailed.<br /> <br /> ====Tom====<br /> * How much to put in a model? Not too much, says Tom. However, what good is an "economic" model that shows a Bolzman distribution? His answer is that this is a natural law in other words, you will never make an economy where the Bolzman distribution does not exist. It is even worse if you allow people to invest.<br /> **In the state of Ilinois, Pi was legally defined as 3.<br /> **Stochastics from στοχαστικός, from στοχάζομαι ‘aim at a target, guess’, from στόχος ‘an aim, a guess’.<br /> **Mention power law and get published!<br /> *Immunize Pig/Mexican/Flu: make use of power law in a network => your friends are more connected than you are! Fascinating...<br /> *We don't know all that much about networks: we don't know what matters.<br /> *Agents with genomes: 10010101. DIstribution split of genome crossover matter!<br /> **T-shirt sniffing leads to selection of different immune systems.<br /> *In complex systems there is a lot of exploratory stuff.<br /> *Tom is a (scientific) heretic.<br /> <br /> ====Drinks====<br /> @Cowgirls. What's this ID thing about anyway? Don't I look old enough?<br /> <br /> ===Xin Wang===<br /> The topics today are involved in nonlinear dynamics, complex networks and collective behaviors. I am very interested in those topics before this summer school, and through lectures I get the deeper understanding about those three areas.<br /> <br /> But what impresses me most is that the students here are very active and it is different from the situation in China. In the meantime, I enjoy the joy of communicating with people from different backgrounds and getting cross-field collaboration.<br /> <br /> <br /> ===Ana Hocevar===<br /> <br /> I am not a blog person really, I've never written a blog before, but I guess CSSS is also a great opportunity for trying out new things unrelated to science. So, here I go.<br /> <br /> As many others, I can't get over how amazing Iain Couzin's talks were. I am very impressed and greatly inspired. Usually attending physics conferences that left me wondering what it was that I was missing, Iain I think made me realize I prefer systems that include things with eyes and wings. Or perhaps gills? Amazing work in my opinion, really.<br /> <br /> I should also thank Liz Bradley for giving incredibly clear lectures on nonlinear dynamics. From the courses I had on chaos, I wouldn't imagine such an intuitive presentation of the topic is possible. It certainly isn't easy, so: Liz, you rock!<br /> <br /> <br /> I haven't been enjoying only the lectures, though. Dancing to no music with Andrew, listening to Jonathan playing the violin, stimulating discussions over lunch or breakfast, great food (we even have ice-cream!) and so much more...<br /> <br /> So with such great company, such cool science and so many wonderful things still ahead of us, I can only say I am very grateful to be here.<br /> <br /> ===Borys Wrobel===<br /> I will not be the first to say that Liz Bradley's lectures are something to behold. I am constantly taking notes on not what she explains but HOW she does it. Especially the mix of powerpoint and whiteboard/transparencies. Hopefully I can decipher my handwriting when it comes to explain some of this stuff when I am teaching. Iain Couzin's are also very inspiring, especially on the advantages of keeping things simple. It was even more inspiring to talk to him @cowgirls, especially his views that it is important to discourage grad students/postdocs to keep TOO long hours... and the importance of having a 'fun lab' in attracting people that would like to work you. It was fascinating to see how Tom Carter engages the audience, so late in the evening (and after dinner, too!). I am not sure that we Europeans agree on his view on how the economic inequalities can be addressed, he seemed very pessimistic about the possibility of it, and many people in the room, I think, were asking themselves how introducing taxes etc. would affect the distributions.<br /> <br /> ===Other remarks===<br /> Some people may be interested in the http://decoi.collectivae.net/ Design Of Collective Intelligence series - those are 1 week long versions of what SFI is trying to do, but mainly focused at multi agent systems.<br /> <br /> Also interesting, and this is even a longer shot, is http://www.nextgenerationinfrastructures.eu/academy if you are interested in (physical) networks and infrastructures.<br /> <br /> <br /> Here is an article about the spread of contagion in a social network written for a general audience, as an example of science journalism:<br /> <br /> "Infectious Personalities", The Economist, May 13, 2010. http://www.economist.com/node/16103882<br /> <br /> AS<br /> <br /> ==Wednesday June 9==<br /> <br /> Today was a sad day for Dutch politics. [[User:Ligtvoet|Ligtvoet]]<br /> <br /> <br /> <br /> <b> Thank you Paige and Coco. </b> [[Samuel_Scarpino|Samuel_Scarpino]]<br /> <p> Great Kerouacish moment. Thanks hairy thighs! [[Giovanni Petri]] </p><br /> <br /> ([[jp]]) Man, I don't know what went on last night...<br /> <br /> <br /> <br /> <br /> <br /> ===Ingrid van Putten<br>===<br /> Lots can be said about the visual art - but the bar has definitely been raised by mathmeticians and computer geeks over the past two days at SFI. Not only did we have buildings tumbling down or having fish swim out of them at the Santa Fe Complex last night, but today liz completely outdid the lot by making music and then ... dance. Those performances should make maths, physics, and computer science interesting to anyone!<br /> <br /> ===Thomas Maillart===<br /> This morning Peter told about network attack tolerance. The results obtained by Albert et al. Nature (2000) for scale-free networks are a direct consequence of the "robust yet fragile" (also called HOT - Highly Optimized Tolerance) concept first coined by Carlson et al. Physical Review Letters also in 2000. However, Newman et al. criticized the HOT model (in Physical Review Letters, 2002), arguing that while "optimized", scale-free systems, the optimization process should occur at some costs. Thus, they introduced the COLD model ("constrained optimization with limited deviations"), by adding a cost to optimization (i.e. preventing the formation of scale-free systems). Under these conditions, the tolerance to attacks should be improved. The interesting point behind the message, is that there is an intrinsic trade-off between optimization and risks, i.e. optimized systems are prone to suffer more extreme damage (heavy-tailed distribution of damage).<br /> <br /> On the same topic, Doyle et al. (PNAS 2005) argued that the model by Albert et al. (Nature 2000) does not hold for the Internet because the most connected nodes are not in the core of the Internet, which is typically low connected. The main point of this article is to point the importance of looking at the mesoscopic structure of real networks, and not only their degree distribution or general purpose metrics.<br /> <br /> ===Vessela Daskalova===<br /> <br /> Some thoughts inspired by Tanmoy Bhattacharya's lecture on inference in historical processes and by Tom Carter's modeling workshop:<br /> <br /> They both tackled two classical questions regarding the methodology used in different fields.<br /> <br /> 1) Are we trying to explain past observations or are we trying to predict future events? And how do models in different fields reflect this goal?<br /> <br /> 2) Do we want to build in what we already "know" in models we are building/ regressions we are running?<br /> <br /> Obviously, people from different fields will answer these questions differently. It would be cool if at least one person from each field wrote about what is accepted in their area.<br /> <br /> Here one point of view from economics:<br /> <br /> on 1) In contrast to historians, who try to give a good explanation of what happened in the past and why, economists try to make some predictions regarding the future. Therefore, models/regressions in economics include fewer variables than models/regressions in history and political science. Tanmoy Bhattacharya argued in favor of including many explanatory variables when using maximum likelihood for historical inference. However, if the goal was prediction rather than inference, the number of explanatory variables would have to be reduced to avoid introducing a lot of past noise in the predictions.<br /> <br /> on 2) In the social sciences (especially economics) there is a tendency to build in some assumptions of what matters in your model. This seems useful (at least to me) as many of the phenomena we are analyzing are a result of social interaction, there is a large degree of randomness in the environment and unless we use our a priori knowledge (as Tanmoy Bhattacharya argued yesterday), we cannot expect to come up with some deterministic equation that accounts for social phenomena.<br /> <br /> Coming back to prediction in economic models, let me end with a popular economics joke:<br /> "Why do meteorologists make weather forecasts?"<br /> "To make economic forecasts look good."<br /> Just to clarify, this is not meant as an insult to meteorologists, but as self-irony:)<br /> <br /> ===Kasia Samson===<br><br /> <br /> <br /> ===Borys Wrobel===<br /> It is really too bad that Peter Dodds did not have the time to present his last lecture, I was really interested in hearing it. I feel this was the cost of the historical perspective (his first lecture)... Santa Fe Complex sure was fun, it sure seemed a geek paradise. It was great to see the American culture of innovation at its best... But it sure was a grueling day, having to get up earlier than on the other days, running to the buses, going from one place to another. Not enough time to explore the SFI (and its library) really, hopefully it will be possible next Wed... It is amazing that so many people decided to stay late at night and walk back to St John's...<br /> <br /> ==Thursday June 10==<br /> ===Chaitanya Gokhale<br>===<br /> "The trick about life is to make it look simple."<br /> <br /> It would seem quite ironic if I say this at a “complex” systems summer school, but the more I get immersed in the subject the more I think that it is relevant statement.<br /> I mostly apply nonlinear dynamics to develop mathematical models of biological system and apply evolutionary game theory to biologically, socially relevant concepts. Please note that both of these is not data driven to begin with.<br /> <br /> Oxford Dictionary defines “model” as follows (model in the context as we use it),<br /> <br /> ...3 something used as an example. 4 a simplified mathematical description of a system or process, used to assist calculations and predictions. 5 an excellent example of a quality....<br /> <br /> A model is not the actual system.<br /> Tom Carter gave an amazing demonstration of that fact. The models he was discussing were not of as much importance as the message he was trying to put across. We do not need complex models to understand complex systems, rather simple models is what we should be aiming for because the goal is not to replicate the complexity but to understand it in simpler terms.<br /> The same thing was iterated by Owen Densmore at the SF Complex and saying that what they are doing is complex would be the biggest understatement.<br /> Today again Jure just amazingly deflated the whole network complexity into a simple 2 \times 2 matrix confirming the idea ever more.<br /> <br /> Any fool can make things bigger, more complex and more violent. It takes a touch of genius and a lot of courage to move in the opposite direction<br /> --Albert Einstein<br /> <br /> On a different note, I loved Liz Bradley’s lectures. Though I have been using the methods for quite a while now, I had never seen such a crystal clear overview of nonlinear dynamics before.<br /> <br /> ===Jing Li<br>===<br /> When Google first topped the 100 best companies to work for, Fortune's comment was 'It's the kind of place where, yes, you're going to work but you also know you are going to have a fun time as well'. I would like to say exactly the same for CSSS 2010. <br /> <br /> What a beautiful day today! Liz's final presentation is as excellent as previous: science is not only interesting, but also COOL; Nathan is as impressive as his project at CSSS; Jure is so passionate about his research. Dan, your comment is the highlight of the presentation, as always.<br /> <br /> A friend of mine who was in CSSS 2009 wrote 'I hope your time at SFI is as wonderful for you as it was for me'. Yes, it is!<br /> <br /> Griff Rees<br><br /> <br /> Bradford Cross has a great [http://measuringmeasures.com/blog/2010/6/9/learning-about-network-theory.html post] on learning about network theory that everyone with an interest in networks will probably find useful. Look at it or bookmark it for later, it compliments our previous lectures well.<br /> <br /> The CSSS hash tag on twitter is #CSSS, the REU tag is #SFI.<br /> <br /> ===Bruno Abrahao<br>===<br /> <br /> One of the recurring themes in our lectures was power-laws in the degree distribution of complex networks. Since this feature was so prevalent across different networks, coming from many different domains, researchers started to create generative models that replicate this observation, with the goal of shedding insight on the root cause of this phenomenon. Some of the plausible explanations include preferential attachment, the copying model and others. <br /> <br /> In 2004, [http://conferences.sigcomm.org/sigcomm/2004/papers/p599-li.pdf Li-Alderson-Willinger-Doyle] made the point that observing a power-law does not give us any insight on the underlying phenomenon. They show that a large number of different networks, with dramatically different characteristics, exhibit the same power-law behavior with the same power-law exponent. The paper was very well received by the computer systems community (it received the best paper award in the top conference in the area, ACM SIGCOMM), but it seems to be often ignored by other communities. <br /> <br /> To make matters more complicated, [http://www.eecs.harvard.edu/~michaelm/postscripts/im2004a.pdf Mitzenmacher] made the point that it is virtually impossible to distinguish any generative process that exhibit power-law behavior from those that exhibit lognormal distribution.<br /> <br /> Can we conclude that power-law observations must be accompanied by some form of validation of the root cause of the phenomenon in order give us useful information on complex systems?<br /> <br /> === Anna Pechenkina<br>===<br /> <br /> Thanks, Bruno, for bringing this up! Networks are new to me, but the published findings of power laws in agent-based models is something that I've come across quite a bit. The question of model validation seems to lack a good answer (and expected practice, which is true at least in political science). If a model generates a power law distribution of some parameter of interest, normally, people do check for robustness of the finding. However, even when the model produces the power law across a large portion of the parameter space, this is no guarantee that the model is a good model of the phenomenon of interest (Tom Carter mentioned on Tues finite vs. infinite variance). The fact that there may be other ways to reach the same power law distribution calls for some sort of validation of the model's mechanism. I would like to hear what others believe a good example of "validation of the model's mechanism" can be (testing the model's *additional* implications against observational data? designing a test of whether the subjects use indeed the decision-making rule specified in the model? modeling different decision-making rules?) Cites of good examples are much appreciated!<br /> <br /> ==Friday June 11==<br /> Kang Zhao<br><br /> ===Florian Sabou<br>===<br /> <br /> A recent article in The New Yorker, "Silver or lead" by William Finnegan, reveals the deep complexity of the drug war reality in Mexico. Rather than a typical armed conflict between authority and drug gangs, or between gangs themselves, the violence in Mexico presents characteristics of political, social and religious insurgence. Drug gangs offer public services that the central government fails to implement such as: construction of community sport and art centers, administration of justice, unemployment management, security and even drug-rehabilitation clinics for methamphetamine addicts. An overview of the article can be found at <br /> http://www.newyorker.com/reporting/2010/05/31/100531fa_fact_finnegan and for interested readers the printed magazine issue is available. <br><br /> <br /> Roberta Sinatra<br><br /> Bogdan State<br><br /> <br /> ==(Saturday June 12)==<br /> ==(Sunday June 13)==<br /> <br /> ==Monday June 14==<br /> Andrew Hein<br><br /> Tracey McDole<br><br /> Sergey Melnik<br><br /> Erik Van den Broecke<br><br /> <br /> ==Tuesday June 15==<br /> Drew Levin<br><br /> Leif Karlstrom<br><br /> Mark Laidre<br><br /> Borys Wrobel<br><br /> ==Wednesday June 16==<br /> Joseph Gran<br><br /> Micael Ehn<br><br /> Damian Blasi<br><br /> Daniel Jones<br><br /> <br /> ==Thursday June 17==<br /> Yixian Song<br><br /> Sam Scarpino<br><br /> Giovanni Petri<br><br /> Michael Szell<br><br /> <br /> ==Friday June 18==<br /> Sandra Bennun<br><br /> Susanne Shultz<br><br /> Lynette Shaw<br><br /> Sarah Wise <br><br /> ==(Saturday June 19)==<br /> ==(Sunday June 20)==<br /> <br /> <br /> ==Monday June 21==<br /> Dan MacKinlay<br><br /> Megan Olsen<br><br /> Vanessa Weinberger<br><br /> Jonathan Cannon<br><br /> <br /> ==Tuesday June 22==<br /> Erika Legara<br><br /> Gavin Fay<br><br /> Bruno Abrahao<br><br /> Zhiyuan Song<br><br /> <br /> ==Wednesday June 23==<br /> Julie Granka<br><br /> Nick Foti<br><br /> Felix Hol<br><br /> Oana Carja<br><br /> ==Thursday June 24==<br /> <br /> <br /> <br /> ==Friday June 25==</div>

Fsabou https://wiki.santafe.edu/index.php?title=CSSS_2010_Santa_Fe-Blog&diff=36727 CSSS 2010 Santa Fe-Blog 2010-06-11T05:58:06Z

<p>Fsabou: /* Florian Sabou */</p> <hr /> <div>{{CSSS 2010 Santa Fe}}<br /> <br /> Use this page as an informal forum to share your opinion and discuss anything at CSSS'10.<br /> <br /> * [[Michael Szell]]: Some people asked me about the URL of my online game. Here it is: http://www.pardus.at - Enjoy! :) (The tutorial may some time to complete..)<br /> <br /> * June 7 ([[Ana Hocevar]]): So I know my official day of contribution on the blog is not until tomorrow, but I wanted to share this with those who are interested. When I get inspired by someone giving a good talk, I have a tendency to write down some of the statements I find encouraging or funny and so on. So here are my favorite quotes from the first day of lectures (and I hope the lecturers don't mind this):<br /> <br /> "If there is one thing you should learn at the summer school, it's to speak up." -Dan Rockmore<br /> <br /> "Science is a social thing." - Dan Rockmore<br /> <br /> "You start with a beautiful idea and end up with reality." - Dan Rockmore<br /> <br /> "Commit to taking advantage of this opportunity." -Dan Rockmore<br /> <br /> "Let it all marinate up there." -Dan Rockmore<br /> <br /> "And wear sunscreen." -Ginger Richardson<br /> <br /> [[Dan Rockmore]]: Here is a link to the NYR piece I mentioned today <br /> http://www.nybooks.com/articles/archives/2010/jun/24/other-side-science/<br /> Good to meet you all and looking fwd to a great CSSS.<br /> <br /> <br /> ==Monday June 7==<br /> Maria Opazo<br><br /> <br /> ===Alison Snyder<br>===<br /> <br /> I thought it might be interesting to give my perspective on today as a journalist and writer. What I starred and underlined in my notebook, what stuck in my head and why.<br /> <br /> First as a journalist…<br /> <br /> <br /> Schooling Fish<br /> <br /> I’m familiar with some of Iain’s research – the beautiful images and descriptions of phenomena that many curious people outside the sciences have seen and thought about lends itself to visual storytelling -- but today was the first time I heard him discuss his fish work. In particular, I’m going to follow what he’s looking at in terms of how individuals influence others in the group and the (preliminary?) finding that some individuals consistently influence the group. Because it is unpublished, I’ll check in with him periodically to discuss in more detail and see how the research is progressing as well as whether and when he might expect to publish the research.<br /> <br /> <br /> Moiré-ing <br /> <br /> Have you ever seen someone on TV who's striped shirt competed with the gravity of what they were saying? In TV production we pay editors large amounts of money for hours of work to fix moiré-ing so the term “numerical moiré-ing” caught my attention. <br /> <br /> <br /> Chaotic Mixing<br /> <br /> Liz mentioned her CU colleague who described clams that open up to exploit chaotic mixing to mix up their gametes. The counterintuitive idea of systems not only embracing chaos but exploiting it, is a provocative theme to explore in a general audience story. To most people, chaos is something to be avoided.<br /> <br /> <br /> Ideas that got my attention as a writer…<br /> <br /> <br /> Gas Gauges and Indelible Images<br /> <br /> In opening her lecture, Liz used the metaphor of her old car’s gas gauge to illustrate non-linearity. The gauge stayed on full then plunged when the tank was near empty rather than dropping as the gas level dropped. While it was a brief aside about a concept that is very easily understandable to a scientist, it might not be to a non-scientist. To someone who has never heard of or thought about non-linearity, they will understand it the first time they hear this metaphor and they’ll remember it. Even if they forget what the gas needle was illustrating, they can back track. Non-linearity becomes an indelible idea. <br /> <br /> As a writer, the metaphor also reminded me of the power of a simple idea in telling a story. One of the most difficult tasks is parsing the scale of what a story is about. Sometimes the most meaningful way to tell a story about the Empire State building is to describe one of the bricks.<br /> <br /> <br /> In other words, today was full of lots of ideas about research to follow and reminders about how to effectively communicate even the most basic of ideas and the power of doing just that.<br /> <br /> Looking forward to tomorrow…<br /> <br /> ===Kyla Dahlin===<br /> <br /> My notes from today are mostly graphs, equations, and Dan's quoted quote about "what if biologists had tried to develop a theory of gravity." I'd love to see a debate between the math/physics/universality camp and the biology/ecology/sociology/everything is different camp. Seems like an interesting tension within Complex Systems folks. <br /> <br /> So far the self-organization into project groups seems to be going well, and I'm sure it will evolve over time. Tonight a few of us talked about the pressure to collaborate being somewhat foreign - so much of PhD work is so solitary. I'm sure the sociologists would love to track the networks that are forming, the different players, and our final results.<br /> <br /> And I think we all are trying to maintain a balance of fun, thinking, working, and staying level in a world with constantly flowing coffee.<br /> <br /> ===Lucas Antiqueira===<br /> <br /> Some first impressions:<br /> <br /> This first day of lectures was really nice. I was exposed to subjects I'm not quite familiar with, lectures were excellent and inspiring, projects started to evolve. The process of getting to know people continued, there are so many brilliant minds here. <br /> <br /> The summer school is a dream coming true for me. I've been in Santa Fe for only a few days, and I can definitely tell that these days are among the most gratifying in my academic life. And things have just begun!<br /> <br /> Many thanks for the SFI/St.John's staff for the support! Not to mention the food, which is excellent by the way!<br /> <br /> ==Tuesday June 8==<br /> <br /> ===Andrew Banooni===<br /> Some of you have heard me use this analogy, and I’m certain that many others of you have heard it elsewhere, but they say that the amount of material there is to learn in medical school is a bit like trying to drink water from a fire hydrant. One thing that I had not realized until attending yesterday and today’s lectures, however, is how homogeneous that information seems, now that I’ve gotten a taste of the multidisciplinary approach here at SFI. Sure, there are a tremendous number of disease processes that involve vastly different physiologic systems, and don’t even get me started on all the bugs and drugs we have to learn, but it’s all medical. We don’t sit and discuss econometrics (actually I don’t think I’ve ever had a discussion about econometrics), or the influence of individual fish on collective behavior. Over the past two days, I’ve dusted off cobwebs from parts of my brain that I feel I haven’t used in years. I don’t mean to say that I am rusty in certain topics (and completely new to many others), but rather that I feel that in the past 48 hours I have been thinking in ways I haven’t had to think in my graduate training. In medicine, you can survive by learning a tremendous number of facts and then regurgitating them at the appropriate time. We observe, we recognize patterns, we diagnose, we treat. I am so thankful for this refreshing reminder that there is so much more enrichment to be had, that the medical problem I am trying to solve can share many similarities with a physical, financial, or aeronautic one my colleague might be struggling with. I feel inspired by every one of you, very lucky to be here, and I look forward to three amazing weeks! <br /> <br /> ===Andreas Ligtvoet===<br /> ====Liz====<br /> * It's a skill to explain difficult stuff in an easy way.<br /> * Lots of dusting off of things I should know, but forgot. <br /> <br /> ====Peter====<br /> * Some interesting discussion about the end of theory due to access to large amount of data. It doesn't help you understand stuff, though.<br /> * Walmart seems to have enormous amounts of data. A colleague of mine suggested finding ecologies of consumer products. What type of furniture goes best with red napkins?<br /> * We can create huge amounts of non-existant networks and have fun with them.<br /> * An average node degree of about 4 leads to hairballs. What can we do with those?<br /> <br /> ====Iain====<br /> * The larger the group of naive individuals, the (relatively) easier it is to influence it. For 10 individuals you need 50% 'leaders', whereas for larger groups only a few %.<br /> * Another interesting remark either yesterday or today: just because you have a nice model for some fish species, doesn't mean you can apply it to cows or bugs or. ..<br /> * THe details of the system do not matter in a collective transition.<br /> * As soon as you behave differently, you are nailed.<br /> <br /> ====Tom====<br /> * How much to put in a model? Not too much, says Tom. However, what good is an "economic" model that shows a Bolzman distribution? His answer is that this is a natural law in other words, you will never make an economy where the Bolzman distribution does not exist. It is even worse if you allow people to invest.<br /> **In the state of Ilinois, Pi was legally defined as 3.<br /> **Stochastics from στοχαστικός, from στοχάζομαι ‘aim at a target, guess’, from στόχος ‘an aim, a guess’.<br /> **Mention power law and get published!<br /> *Immunize Pig/Mexican/Flu: make use of power law in a network => your friends are more connected than you are! Fascinating...<br /> *We don't know all that much about networks: we don't know what matters.<br /> *Agents with genomes: 10010101. DIstribution split of genome crossover matter!<br /> **T-shirt sniffing leads to selection of different immune systems.<br /> *In complex systems there is a lot of exploratory stuff.<br /> *Tom is a (scientific) heretic.<br /> <br /> ====Drinks====<br /> @Cowgirls. What's this ID thing about anyway? Don't I look old enough?<br /> <br /> ===Xin Wang===<br /> The topics today are involved in nonlinear dynamics, complex networks and collective behaviors. I am very interested in those topics before this summer school, and through lectures I get the deeper understanding about those three areas.<br /> <br /> But what impresses me most is that the students here are very active and it is different from the situation in China. In the meantime, I enjoy the joy of communicating with people from different backgrounds and getting cross-field collaboration.<br /> <br /> <br /> ===Ana Hocevar===<br /> <br /> I am not a blog person really, I've never written a blog before, but I guess CSSS is also a great opportunity for trying out new things unrelated to science. So, here I go.<br /> <br /> As many others, I can't get over how amazing Iain Couzin's talks were. I am very impressed and greatly inspired. Usually attending physics conferences that left me wondering what it was that I was missing, Iain I think made me realize I prefer systems that include things with eyes and wings. Or perhaps gills? Amazing work in my opinion, really.<br /> <br /> I should also thank Liz Bradley for giving incredibly clear lectures on nonlinear dynamics. From the courses I had on chaos, I wouldn't imagine such an intuitive presentation of the topic is possible. It certainly isn't easy, so: Liz, you rock!<br /> <br /> <br /> I haven't been enjoying only the lectures, though. Dancing to no music with Andrew, listening to Jonathan playing the violin, stimulating discussions over lunch or breakfast, great food (we even have ice-cream!) and so much more...<br /> <br /> So with such great company, such cool science and so many wonderful things still ahead of us, I can only say I am very grateful to be here.<br /> <br /> ===Borys Wrobel===<br /> I will not be the first to say that Liz Bradley's lectures are something to behold. I am constantly taking notes on not what she explains but HOW she does it. Especially the mix of powerpoint and whiteboard/transparencies. Hopefully I can decipher my handwriting when it comes to explain some of this stuff when I am teaching. Iain Couzin's are also very inspiring, especially on the advantages of keeping things simple. It was even more inspiring to talk to him @cowgirls, especially his views that it is important to discourage grad students/postdocs to keep TOO long hours... and the importance of having a 'fun lab' in attracting people that would like to work you. It was fascinating to see how Tom Carter engages the audience, so late in the evening (and after dinner, too!). I am not sure that we Europeans agree on his view on how the economic inequalities can be addressed, he seemed very pessimistic about the possibility of it, and many people in the room, I think, were asking themselves how introducing taxes etc. would affect the distributions.<br /> <br /> ===Other remarks===<br /> Some people may be interested in the http://decoi.collectivae.net/ Design Of Collective Intelligence series - those are 1 week long versions of what SFI is trying to do, but mainly focused at multi agent systems.<br /> <br /> Also interesting, and this is even a longer shot, is http://www.nextgenerationinfrastructures.eu/academy if you are interested in (physical) networks and infrastructures.<br /> <br /> <br /> Here is an article about the spread of contagion in a social network written for a general audience, as an example of science journalism:<br /> <br /> "Infectious Personalities", The Economist, May 13, 2010. http://www.economist.com/node/16103882<br /> <br /> AS<br /> <br /> ==Wednesday June 9==<br /> <br /> Today was a sad day for Dutch politics. [[User:Ligtvoet|Ligtvoet]]<br /> <br /> <br /> <br /> <b> Thank you Paige and Coco. </b> [[Samuel_Scarpino|Samuel_Scarpino]]<br /> <p> Great Kerouacish moment. Thanks hairy thighs! [[Giovanni Petri]] </p><br /> <br /> ([[jp]]) Man, I don't know what went on last night...<br /> <br /> <br /> <br /> <br /> <br /> ===Ingrid van Putten<br>===<br /> Lots can be said about the visual art - but the bar has definitely been raised by mathmeticians and computer geeks over the past two days at SFI. Not only did we have buildings tumbling down or having fish swim out of them at the Santa Fe Complex last night, but today liz completely outdid the lot by making music and then ... dance. Those performances should make maths, physics, and computer science interesting to anyone!<br /> <br /> ===Thomas Maillart===<br /> This morning Peter told about network attack tolerance. The results obtained by Albert et al. Nature (2000) for scale-free networks are a direct consequence of the "robust yet fragile" (also called HOT - Highly Optimized Tolerance) concept first coined by Carlson et al. Physical Review Letters also in 2000. However, Newman et al. criticized the HOT model (in Physical Review Letters, 2002), arguing that while "optimized", scale-free systems, the optimization process should occur at some costs. Thus, they introduced the COLD model ("constrained optimization with limited deviations"), by adding a cost to optimization (i.e. preventing the formation of scale-free systems). Under these conditions, the tolerance to attacks should be improved. The interesting point behind the message, is that there is an intrinsic trade-off between optimization and risks, i.e. optimized systems are prone to suffer more extreme damage (heavy-tailed distribution of damage).<br /> <br /> On the same topic, Doyle et al. (PNAS 2005) argued that the model by Albert et al. (Nature 2000) does not hold for the Internet because the most connected nodes are not in the core of the Internet, which is typically low connected. The main point of this article is to point the importance of looking at the mesoscopic structure of real networks, and not only their degree distribution or general purpose metrics.<br /> <br /> ===Vessela Daskalova===<br /> <br /> Some thoughts inspired by Tanmoy Bhattacharya's lecture on inference in historical processes and by Tom Carter's modeling workshop:<br /> <br /> They both tackled two classical questions regarding the methodology used in different fields.<br /> <br /> 1) Are we trying to explain past observations or are we trying to predict future events? And how do models in different fields reflect this goal?<br /> <br /> 2) Do we want to build in what we already "know" in models we are building/ regressions we are running?<br /> <br /> Obviously, people from different fields will answer these questions differently. It would be cool if at least one person from each field wrote about what is accepted in their area.<br /> <br /> Here one point of view from economics:<br /> <br /> on 1) In contrast to historians, who try to give a good explanation of what happened in the past and why, economists try to make some predictions regarding the future. Therefore, models/regressions in economics include fewer variables than models/regressions in history and political science. Tanmoy Bhattacharya argued in favor of including many explanatory variables when using maximum likelihood for historical inference. However, if the goal was prediction rather than inference, the number of explanatory variables would have to be reduced to avoid introducing a lot of past noise in the predictions.<br /> <br /> on 2) In the social sciences (especially economics) there is a tendency to build in some assumptions of what matters in your model. This seems useful (at least to me) as many of the phenomena we are analyzing are a result of social interaction, there is a large degree of randomness in the environment and unless we use our a priori knowledge (as Tanmoy Bhattacharya argued yesterday), we cannot expect to come up with some deterministic equation that accounts for social phenomena.<br /> <br /> Coming back to prediction in economic models, let me end with a popular economics joke:<br /> "Why do meteorologists make weather forecasts?"<br /> "To make economic forecasts look good."<br /> Just to clarify, this is not meant as an insult to meteorologists, but as self-irony:)<br /> <br /> ===Kasia Samson===<br><br /> <br /> <br /> ===Borys Wrobel===<br /> It is really too bad that Peter Dodds did not have the time to present his last lecture, I was really interested in hearing it. I feel this was the cost of the historical perspective (his first lecture)... Santa Fe Complex sure was fun, it sure seemed a geek paradise. It was great to see the American culture of innovation at its best... But it sure was a grueling day, having to get up earlier than on the other days, running to the buses, going from one place to another. Not enough time to explore the SFI (and its library) really, hopefully it will be possible next Wed... It is amazing that so many people decided to stay late at night and walk back to St John's...<br /> <br /> ==Thursday June 10==<br /> ===Chaitanya Gokhale<br>===<br /> "The trick about life is to make it look simple."<br /> <br /> It would seem quite ironic if I say this at a “complex” systems summer school, but the more I get immersed in the subject the more I think that it is relevant statement.<br /> I mostly apply nonlinear dynamics to develop mathematical models of biological system and apply evolutionary game theory to biologically, socially relevant concepts. Please note that both of these is not data driven to begin with.<br /> <br /> Oxford Dictionary defines “model” as follows (model in the context as we use it),<br /> <br /> ...3 something used as an example. 4 a simplified mathematical description of a system or process, used to assist calculations and predictions. 5 an excellent example of a quality....<br /> <br /> A model is not the actual system.<br /> Tom Carter gave an amazing demonstration of that fact. The models he was discussing were not of as much importance as the message he was trying to put across. We do not need complex models to understand complex systems, rather simple models is what we should be aiming for because the goal is not to replicate the complexity but to understand it in simpler terms.<br /> The same thing was iterated by Owen Densmore at the SF Complex and saying that what they are doing is complex would be the biggest understatement.<br /> Today again Jure just amazingly deflated the whole network complexity into a simple 2 \times 2 matrix confirming the idea ever more.<br /> <br /> Any fool can make things bigger, more complex and more violent. It takes a touch of genius and a lot of courage to move in the opposite direction<br /> --Albert Einstein<br /> <br /> On a different note, I loved Liz Bradley’s lectures. Though I have been using the methods for quite a while now, I had never seen such a crystal clear overview of nonlinear dynamics before.<br /> <br /> ===Jing Li<br>===<br /> When Google first topped the 100 best companies to work for, Fortune's comment was 'It's the kind of place where, yes, you're going to work but you also know you are going to have a fun time as well'. I would like to say exactly the same for CSSS 2010. <br /> <br /> What a beautiful day today! Liz's final presentation is as excellent as previous: science is not only interesting, but also COOL; Nathan is as impressive as his project at CSSS; Jure is so passionate about his research. Dan, your comment is the highlight of the presentation, as always.<br /> <br /> A friend of mine who was in CSSS 2009 wrote 'I hope your time at SFI is as wonderful for you as it was for me'. Yes, it is!<br /> <br /> Griff Rees<br><br /> <br /> Bradford Cross has a great [http://measuringmeasures.com/blog/2010/6/9/learning-about-network-theory.html post] on learning about network theory that everyone with an interest in networks will probably find useful. Look at it or bookmark it for later, it compliments our previous lectures well.<br /> <br /> The CSSS hash tag on twitter is #CSSS, the REU tag is #SFI.<br /> <br /> ===Bruno Abrahao<br>===<br /> <br /> One of the recurring themes in our lectures was power-laws in the degree distribution of complex networks. Since this feature was so prevalent across different networks, coming from many different domains, researchers started to create generative models that replicate this observation, with the goal of shedding insight on the root cause of this phenomenon. Some of the plausible explanations include preferential attachment, the copying model and others. <br /> <br /> In 2004, [http://conferences.sigcomm.org/sigcomm/2004/papers/p599-li.pdf Li-Alderson-Willinger-Doyle] made the point that observing a power-law does not give us any insight on the underlying phenomenon. They show that a large number of different networks, with dramatically different characteristics, exhibit the same power-law behavior with the same power-law exponent. The paper was very well received by the computer systems community (it received the best paper award in the top conference in the area, ACM SIGCOMM), but it seems to be often ignored by other communities. <br /> <br /> To make matters more complicated, [http://www.eecs.harvard.edu/~michaelm/postscripts/im2004a.pdf Mitzenmacher] made the point that it is virtually impossible to distinguish any generative process that exhibit power-law behavior from those that exhibit lognormal distribution.<br /> <br /> Can we conclude that power-law observations must be accompanied by some form of validation of the root cause of the phenomenon in order give us useful information on complex systems?<br /> <br /> === Anna Pechenkina<br>===<br /> <br /> Thanks, Bruno, for bringing this up! Networks are new to me, but the published findings of power laws in agent-based models is something that I've come across quite a bit. The question of model validation seems to lack a good answer (and expected practice, which is true at least in political science). If a model generates a power law distribution of some parameter of interest, normally, people do check for robustness of the finding. However, even when the model produces the power law across a large portion of the parameter space, this is no guarantee that the model is a good model of the phenomenon of interest (Tom Carter mentioned on Tues finite vs. infinite variance). The fact that there may be other ways to reach the same power law distribution calls for some sort of validation of the model's mechanism. I would like to hear what others believe a good example of "validation of the model's mechanism" can be (testing the model's *additional* implications against observational data? designing a test of whether the subjects use indeed the decision-making rule specified in the model? modeling different decision-making rules?) Cites of good examples are much appreciated!<br /> <br /> ==Friday June 11==<br /> Kang Zhao<br><br /> ===Florian Sabou<br>===<br /> http://www.newyorker.com/reporting/2010/05/31/100531fa_fact_finnegan<br /> <br /> Roberta Sinatra<br><br /> Bogdan State<br><br /> <br /> ==(Saturday June 12)==<br /> ==(Sunday June 13)==<br /> <br /> ==Monday June 14==<br /> Andrew Hein<br><br /> Tracey McDole<br><br /> Sergey Melnik<br><br /> Erik Van den Broecke<br><br /> <br /> ==Tuesday June 15==<br /> Drew Levin<br><br /> Leif Karlstrom<br><br /> Mark Laidre<br><br /> Borys Wrobel<br><br /> ==Wednesday June 16==<br /> Joseph Gran<br><br /> Micael Ehn<br><br /> Damian Blasi<br><br /> Daniel Jones<br><br /> <br /> ==Thursday June 17==<br /> Yixian Song<br><br /> Sam Scarpino<br><br /> Giovanni Petri<br><br /> Michael Szell<br><br /> <br /> ==Friday June 18==<br /> Sandra Bennun<br><br /> Susanne Shultz<br><br /> Lynette Shaw<br><br /> Sarah Wise <br><br /> ==(Saturday June 19)==<br /> ==(Sunday June 20)==<br /> <br /> <br /> ==Monday June 21==<br /> Dan MacKinlay<br><br /> Megan Olsen<br><br /> Vanessa Weinberger<br><br /> Jonathan Cannon<br><br /> <br /> ==Tuesday June 22==<br /> Erika Legara<br><br /> Gavin Fay<br><br /> Bruno Abrahao<br><br /> Zhiyuan Song<br><br /> <br /> ==Wednesday June 23==<br /> Julie Granka<br><br /> Nick Foti<br><br /> Felix Hol<br><br /> Oana Carja<br><br /> ==Thursday June 24==<br /> <br /> <br /> <br /> ==Friday June 25==</div>

Fsabou https://wiki.santafe.edu/index.php?title=CSSS_2010_Santa_Fe-Blog&diff=36726 CSSS 2010 Santa Fe-Blog 2010-06-11T05:56:25Z

<p>Fsabou: /* Friday June 11 */</p> <hr /> <div>{{CSSS 2010 Santa Fe}}<br /> <br /> Use this page as an informal forum to share your opinion and discuss anything at CSSS'10.<br /> <br /> * [[Michael Szell]]: Some people asked me about the URL of my online game. Here it is: http://www.pardus.at - Enjoy! :) (The tutorial may some time to complete..)<br /> <br /> * June 7 ([[Ana Hocevar]]): So I know my official day of contribution on the blog is not until tomorrow, but I wanted to share this with those who are interested. When I get inspired by someone giving a good talk, I have a tendency to write down some of the statements I find encouraging or funny and so on. So here are my favorite quotes from the first day of lectures (and I hope the lecturers don't mind this):<br /> <br /> "If there is one thing you should learn at the summer school, it's to speak up." -Dan Rockmore<br /> <br /> "Science is a social thing." - Dan Rockmore<br /> <br /> "You start with a beautiful idea and end up with reality." - Dan Rockmore<br /> <br /> "Commit to taking advantage of this opportunity." -Dan Rockmore<br /> <br /> "Let it all marinate up there." -Dan Rockmore<br /> <br /> "And wear sunscreen." -Ginger Richardson<br /> <br /> [[Dan Rockmore]]: Here is a link to the NYR piece I mentioned today <br /> http://www.nybooks.com/articles/archives/2010/jun/24/other-side-science/<br /> Good to meet you all and looking fwd to a great CSSS.<br /> <br /> <br /> ==Monday June 7==<br /> Maria Opazo<br><br /> <br /> ===Alison Snyder<br>===<br /> <br /> I thought it might be interesting to give my perspective on today as a journalist and writer. What I starred and underlined in my notebook, what stuck in my head and why.<br /> <br /> First as a journalist…<br /> <br /> <br /> Schooling Fish<br /> <br /> I’m familiar with some of Iain’s research – the beautiful images and descriptions of phenomena that many curious people outside the sciences have seen and thought about lends itself to visual storytelling -- but today was the first time I heard him discuss his fish work. In particular, I’m going to follow what he’s looking at in terms of how individuals influence others in the group and the (preliminary?) finding that some individuals consistently influence the group. Because it is unpublished, I’ll check in with him periodically to discuss in more detail and see how the research is progressing as well as whether and when he might expect to publish the research.<br /> <br /> <br /> Moiré-ing <br /> <br /> Have you ever seen someone on TV who's striped shirt competed with the gravity of what they were saying? In TV production we pay editors large amounts of money for hours of work to fix moiré-ing so the term “numerical moiré-ing” caught my attention. <br /> <br /> <br /> Chaotic Mixing<br /> <br /> Liz mentioned her CU colleague who described clams that open up to exploit chaotic mixing to mix up their gametes. The counterintuitive idea of systems not only embracing chaos but exploiting it, is a provocative theme to explore in a general audience story. To most people, chaos is something to be avoided.<br /> <br /> <br /> Ideas that got my attention as a writer…<br /> <br /> <br /> Gas Gauges and Indelible Images<br /> <br /> In opening her lecture, Liz used the metaphor of her old car’s gas gauge to illustrate non-linearity. The gauge stayed on full then plunged when the tank was near empty rather than dropping as the gas level dropped. While it was a brief aside about a concept that is very easily understandable to a scientist, it might not be to a non-scientist. To someone who has never heard of or thought about non-linearity, they will understand it the first time they hear this metaphor and they’ll remember it. Even if they forget what the gas needle was illustrating, they can back track. Non-linearity becomes an indelible idea. <br /> <br /> As a writer, the metaphor also reminded me of the power of a simple idea in telling a story. One of the most difficult tasks is parsing the scale of what a story is about. Sometimes the most meaningful way to tell a story about the Empire State building is to describe one of the bricks.<br /> <br /> <br /> In other words, today was full of lots of ideas about research to follow and reminders about how to effectively communicate even the most basic of ideas and the power of doing just that.<br /> <br /> Looking forward to tomorrow…<br /> <br /> ===Kyla Dahlin===<br /> <br /> My notes from today are mostly graphs, equations, and Dan's quoted quote about "what if biologists had tried to develop a theory of gravity." I'd love to see a debate between the math/physics/universality camp and the biology/ecology/sociology/everything is different camp. Seems like an interesting tension within Complex Systems folks. <br /> <br /> So far the self-organization into project groups seems to be going well, and I'm sure it will evolve over time. Tonight a few of us talked about the pressure to collaborate being somewhat foreign - so much of PhD work is so solitary. I'm sure the sociologists would love to track the networks that are forming, the different players, and our final results.<br /> <br /> And I think we all are trying to maintain a balance of fun, thinking, working, and staying level in a world with constantly flowing coffee.<br /> <br /> ===Lucas Antiqueira===<br /> <br /> Some first impressions:<br /> <br /> This first day of lectures was really nice. I was exposed to subjects I'm not quite familiar with, lectures were excellent and inspiring, projects started to evolve. The process of getting to know people continued, there are so many brilliant minds here. <br /> <br /> The summer school is a dream coming true for me. I've been in Santa Fe for only a few days, and I can definitely tell that these days are among the most gratifying in my academic life. And things have just begun!<br /> <br /> Many thanks for the SFI/St.John's staff for the support! Not to mention the food, which is excellent by the way!<br /> <br /> ==Tuesday June 8==<br /> <br /> ===Andrew Banooni===<br /> Some of you have heard me use this analogy, and I’m certain that many others of you have heard it elsewhere, but they say that the amount of material there is to learn in medical school is a bit like trying to drink water from a fire hydrant. One thing that I had not realized until attending yesterday and today’s lectures, however, is how homogeneous that information seems, now that I’ve gotten a taste of the multidisciplinary approach here at SFI. Sure, there are a tremendous number of disease processes that involve vastly different physiologic systems, and don’t even get me started on all the bugs and drugs we have to learn, but it’s all medical. We don’t sit and discuss econometrics (actually I don’t think I’ve ever had a discussion about econometrics), or the influence of individual fish on collective behavior. Over the past two days, I’ve dusted off cobwebs from parts of my brain that I feel I haven’t used in years. I don’t mean to say that I am rusty in certain topics (and completely new to many others), but rather that I feel that in the past 48 hours I have been thinking in ways I haven’t had to think in my graduate training. In medicine, you can survive by learning a tremendous number of facts and then regurgitating them at the appropriate time. We observe, we recognize patterns, we diagnose, we treat. I am so thankful for this refreshing reminder that there is so much more enrichment to be had, that the medical problem I am trying to solve can share many similarities with a physical, financial, or aeronautic one my colleague might be struggling with. I feel inspired by every one of you, very lucky to be here, and I look forward to three amazing weeks! <br /> <br /> ===Andreas Ligtvoet===<br /> ====Liz====<br /> * It's a skill to explain difficult stuff in an easy way.<br /> * Lots of dusting off of things I should know, but forgot. <br /> <br /> ====Peter====<br /> * Some interesting discussion about the end of theory due to access to large amount of data. It doesn't help you understand stuff, though.<br /> * Walmart seems to have enormous amounts of data. A colleague of mine suggested finding ecologies of consumer products. What type of furniture goes best with red napkins?<br /> * We can create huge amounts of non-existant networks and have fun with them.<br /> * An average node degree of about 4 leads to hairballs. What can we do with those?<br /> <br /> ====Iain====<br /> * The larger the group of naive individuals, the (relatively) easier it is to influence it. For 10 individuals you need 50% 'leaders', whereas for larger groups only a few %.<br /> * Another interesting remark either yesterday or today: just because you have a nice model for some fish species, doesn't mean you can apply it to cows or bugs or. ..<br /> * THe details of the system do not matter in a collective transition.<br /> * As soon as you behave differently, you are nailed.<br /> <br /> ====Tom====<br /> * How much to put in a model? Not too much, says Tom. However, what good is an "economic" model that shows a Bolzman distribution? His answer is that this is a natural law in other words, you will never make an economy where the Bolzman distribution does not exist. It is even worse if you allow people to invest.<br /> **In the state of Ilinois, Pi was legally defined as 3.<br /> **Stochastics from στοχαστικός, from στοχάζομαι ‘aim at a target, guess’, from στόχος ‘an aim, a guess’.<br /> **Mention power law and get published!<br /> *Immunize Pig/Mexican/Flu: make use of power law in a network => your friends are more connected than you are! Fascinating...<br /> *We don't know all that much about networks: we don't know what matters.<br /> *Agents with genomes: 10010101. DIstribution split of genome crossover matter!<br /> **T-shirt sniffing leads to selection of different immune systems.<br /> *In complex systems there is a lot of exploratory stuff.<br /> *Tom is a (scientific) heretic.<br /> <br /> ====Drinks====<br /> @Cowgirls. What's this ID thing about anyway? Don't I look old enough?<br /> <br /> ===Xin Wang===<br /> The topics today are involved in nonlinear dynamics, complex networks and collective behaviors. I am very interested in those topics before this summer school, and through lectures I get the deeper understanding about those three areas.<br /> <br /> But what impresses me most is that the students here are very active and it is different from the situation in China. In the meantime, I enjoy the joy of communicating with people from different backgrounds and getting cross-field collaboration.<br /> <br /> <br /> ===Ana Hocevar===<br /> <br /> I am not a blog person really, I've never written a blog before, but I guess CSSS is also a great opportunity for trying out new things unrelated to science. So, here I go.<br /> <br /> As many others, I can't get over how amazing Iain Couzin's talks were. I am very impressed and greatly inspired. Usually attending physics conferences that left me wondering what it was that I was missing, Iain I think made me realize I prefer systems that include things with eyes and wings. Or perhaps gills? Amazing work in my opinion, really.<br /> <br /> I should also thank Liz Bradley for giving incredibly clear lectures on nonlinear dynamics. From the courses I had on chaos, I wouldn't imagine such an intuitive presentation of the topic is possible. It certainly isn't easy, so: Liz, you rock!<br /> <br /> <br /> I haven't been enjoying only the lectures, though. Dancing to no music with Andrew, listening to Jonathan playing the violin, stimulating discussions over lunch or breakfast, great food (we even have ice-cream!) and so much more...<br /> <br /> So with such great company, such cool science and so many wonderful things still ahead of us, I can only say I am very grateful to be here.<br /> <br /> ===Borys Wrobel===<br /> I will not be the first to say that Liz Bradley's lectures are something to behold. I am constantly taking notes on not what she explains but HOW she does it. Especially the mix of powerpoint and whiteboard/transparencies. Hopefully I can decipher my handwriting when it comes to explain some of this stuff when I am teaching. Iain Couzin's are also very inspiring, especially on the advantages of keeping things simple. It was even more inspiring to talk to him @cowgirls, especially his views that it is important to discourage grad students/postdocs to keep TOO long hours... and the importance of having a 'fun lab' in attracting people that would like to work you. It was fascinating to see how Tom Carter engages the audience, so late in the evening (and after dinner, too!). I am not sure that we Europeans agree on his view on how the economic inequalities can be addressed, he seemed very pessimistic about the possibility of it, and many people in the room, I think, were asking themselves how introducing taxes etc. would affect the distributions.<br /> <br /> ===Other remarks===<br /> Some people may be interested in the http://decoi.collectivae.net/ Design Of Collective Intelligence series - those are 1 week long versions of what SFI is trying to do, but mainly focused at multi agent systems.<br /> <br /> Also interesting, and this is even a longer shot, is http://www.nextgenerationinfrastructures.eu/academy if you are interested in (physical) networks and infrastructures.<br /> <br /> <br /> Here is an article about the spread of contagion in a social network written for a general audience, as an example of science journalism:<br /> <br /> "Infectious Personalities", The Economist, May 13, 2010. http://www.economist.com/node/16103882<br /> <br /> AS<br /> <br /> ==Wednesday June 9==<br /> <br /> Today was a sad day for Dutch politics. [[User:Ligtvoet|Ligtvoet]]<br /> <br /> <br /> <br /> <b> Thank you Paige and Coco. </b> [[Samuel_Scarpino|Samuel_Scarpino]]<br /> <p> Great Kerouacish moment. Thanks hairy thighs! [[Giovanni Petri]] </p><br /> <br /> ([[jp]]) Man, I don't know what went on last night...<br /> <br /> <br /> <br /> <br /> <br /> ===Ingrid van Putten<br>===<br /> Lots can be said about the visual art - but the bar has definitely been raised by mathmeticians and computer geeks over the past two days at SFI. Not only did we have buildings tumbling down or having fish swim out of them at the Santa Fe Complex last night, but today liz completely outdid the lot by making music and then ... dance. Those performances should make maths, physics, and computer science interesting to anyone!<br /> <br /> ===Thomas Maillart===<br /> This morning Peter told about network attack tolerance. The results obtained by Albert et al. Nature (2000) for scale-free networks are a direct consequence of the "robust yet fragile" (also called HOT - Highly Optimized Tolerance) concept first coined by Carlson et al. Physical Review Letters also in 2000. However, Newman et al. criticized the HOT model (in Physical Review Letters, 2002), arguing that while "optimized", scale-free systems, the optimization process should occur at some costs. Thus, they introduced the COLD model ("constrained optimization with limited deviations"), by adding a cost to optimization (i.e. preventing the formation of scale-free systems). Under these conditions, the tolerance to attacks should be improved. The interesting point behind the message, is that there is an intrinsic trade-off between optimization and risks, i.e. optimized systems are prone to suffer more extreme damage (heavy-tailed distribution of damage).<br /> <br /> On the same topic, Doyle et al. (PNAS 2005) argued that the model by Albert et al. (Nature 2000) does not hold for the Internet because the most connected nodes are not in the core of the Internet, which is typically low connected. The main point of this article is to point the importance of looking at the mesoscopic structure of real networks, and not only their degree distribution or general purpose metrics.<br /> <br /> ===Vessela Daskalova===<br /> <br /> Some thoughts inspired by Tanmoy Bhattacharya's lecture on inference in historical processes and by Tom Carter's modeling workshop:<br /> <br /> They both tackled two classical questions regarding the methodology used in different fields.<br /> <br /> 1) Are we trying to explain past observations or are we trying to predict future events? And how do models in different fields reflect this goal?<br /> <br /> 2) Do we want to build in what we already "know" in models we are building/ regressions we are running?<br /> <br /> Obviously, people from different fields will answer these questions differently. It would be cool if at least one person from each field wrote about what is accepted in their area.<br /> <br /> Here one point of view from economics:<br /> <br /> on 1) In contrast to historians, who try to give a good explanation of what happened in the past and why, economists try to make some predictions regarding the future. Therefore, models/regressions in economics include fewer variables than models/regressions in history and political science. Tanmoy Bhattacharya argued in favor of including many explanatory variables when using maximum likelihood for historical inference. However, if the goal was prediction rather than inference, the number of explanatory variables would have to be reduced to avoid introducing a lot of past noise in the predictions.<br /> <br /> on 2) In the social sciences (especially economics) there is a tendency to build in some assumptions of what matters in your model. This seems useful (at least to me) as many of the phenomena we are analyzing are a result of social interaction, there is a large degree of randomness in the environment and unless we use our a priori knowledge (as Tanmoy Bhattacharya argued yesterday), we cannot expect to come up with some deterministic equation that accounts for social phenomena.<br /> <br /> Coming back to prediction in economic models, let me end with a popular economics joke:<br /> "Why do meteorologists make weather forecasts?"<br /> "To make economic forecasts look good."<br /> Just to clarify, this is not meant as an insult to meteorologists, but as self-irony:)<br /> <br /> ===Kasia Samson===<br><br /> <br /> <br /> ===Borys Wrobel===<br /> It is really too bad that Peter Dodds did not have the time to present his last lecture, I was really interested in hearing it. I feel this was the cost of the historical perspective (his first lecture)... Santa Fe Complex sure was fun, it sure seemed a geek paradise. It was great to see the American culture of innovation at its best... But it sure was a grueling day, having to get up earlier than on the other days, running to the buses, going from one place to another. Not enough time to explore the SFI (and its library) really, hopefully it will be possible next Wed... It is amazing that so many people decided to stay late at night and walk back to St John's...<br /> <br /> ==Thursday June 10==<br /> ===Chaitanya Gokhale<br>===<br /> "The trick about life is to make it look simple."<br /> <br /> It would seem quite ironic if I say this at a “complex” systems summer school, but the more I get immersed in the subject the more I think that it is relevant statement.<br /> I mostly apply nonlinear dynamics to develop mathematical models of biological system and apply evolutionary game theory to biologically, socially relevant concepts. Please note that both of these is not data driven to begin with.<br /> <br /> Oxford Dictionary defines “model” as follows (model in the context as we use it),<br /> <br /> ...3 something used as an example. 4 a simplified mathematical description of a system or process, used to assist calculations and predictions. 5 an excellent example of a quality....<br /> <br /> A model is not the actual system.<br /> Tom Carter gave an amazing demonstration of that fact. The models he was discussing were not of as much importance as the message he was trying to put across. We do not need complex models to understand complex systems, rather simple models is what we should be aiming for because the goal is not to replicate the complexity but to understand it in simpler terms.<br /> The same thing was iterated by Owen Densmore at the SF Complex and saying that what they are doing is complex would be the biggest understatement.<br /> Today again Jure just amazingly deflated the whole network complexity into a simple 2 \times 2 matrix confirming the idea ever more.<br /> <br /> Any fool can make things bigger, more complex and more violent. It takes a touch of genius and a lot of courage to move in the opposite direction<br /> --Albert Einstein<br /> <br /> On a different note, I loved Liz Bradley’s lectures. Though I have been using the methods for quite a while now, I had never seen such a crystal clear overview of nonlinear dynamics before.<br /> <br /> ===Jing Li<br>===<br /> When Google first topped the 100 best companies to work for, Fortune's comment was 'It's the kind of place where, yes, you're going to work but you also know you are going to have a fun time as well'. I would like to say exactly the same for CSSS 2010. <br /> <br /> What a beautiful day today! Liz's final presentation is as excellent as previous: science is not only interesting, but also COOL; Nathan is as impressive as his project at CSSS; Jure is so passionate about his research. Dan, your comment is the highlight of the presentation, as always.<br /> <br /> A friend of mine who was in CSSS 2009 wrote 'I hope your time at SFI is as wonderful for you as it was for me'. Yes, it is!<br /> <br /> Griff Rees<br><br /> <br /> Bradford Cross has a great [http://measuringmeasures.com/blog/2010/6/9/learning-about-network-theory.html post] on learning about network theory that everyone with an interest in networks will probably find useful. Look at it or bookmark it for later, it compliments our previous lectures well.<br /> <br /> The CSSS hash tag on twitter is #CSSS, the REU tag is #SFI.<br /> <br /> ===Bruno Abrahao<br>===<br /> <br /> One of the recurring themes in our lectures was power-laws in the degree distribution of complex networks. Since this feature was so prevalent across different networks, coming from many different domains, researchers started to create generative models that replicate this observation, with the goal of shedding insight on the root cause of this phenomenon. Some of the plausible explanations include preferential attachment, the copying model and others. <br /> <br /> In 2004, [http://conferences.sigcomm.org/sigcomm/2004/papers/p599-li.pdf Li-Alderson-Willinger-Doyle] made the point that observing a power-law does not give us any insight on the underlying phenomenon. They show that a large number of different networks, with dramatically different characteristics, exhibit the same power-law behavior with the same power-law exponent. The paper was very well received by the computer systems community (it received the best paper award in the top conference in the area, ACM SIGCOMM), but it seems to be often ignored by other communities. <br /> <br /> To make matters more complicated, [http://www.eecs.harvard.edu/~michaelm/postscripts/im2004a.pdf Mitzenmacher] made the point that it is virtually impossible to distinguish any generative process that exhibit power-law behavior from those that exhibit lognormal distribution.<br /> <br /> Can we conclude that power-law observations must be accompanied by some form of validation of the root cause of the phenomenon in order give us useful information on complex systems?<br /> <br /> === Anna Pechenkina<br>===<br /> <br /> Thanks, Bruno, for bringing this up! Networks are new to me, but the published findings of power laws in agent-based models is something that I've come across quite a bit. The question of model validation seems to lack a good answer (and expected practice, which is true at least in political science). If a model generates a power law distribution of some parameter of interest, normally, people do check for robustness of the finding. However, even when the model produces the power law across a large portion of the parameter space, this is no guarantee that the model is a good model of the phenomenon of interest (Tom Carter mentioned on Tues finite vs. infinite variance). The fact that there may be other ways to reach the same power law distribution calls for some sort of validation of the model's mechanism. I would like to hear what others believe a good example of "validation of the model's mechanism" can be (testing the model's *additional* implications against observational data? designing a test of whether the subjects use indeed the decision-making rule specified in the model? modeling different decision-making rules?) Cites of good examples are much appreciated!<br /> <br /> ==Friday June 11==<br /> Kang Zhao<br><br /> ===Florian Sabou<br>===<br /> Roberta Sinatra<br><br /> Bogdan State<br><br /> <br /> ==(Saturday June 12)==<br /> ==(Sunday June 13)==<br /> <br /> ==Monday June 14==<br /> Andrew Hein<br><br /> Tracey McDole<br><br /> Sergey Melnik<br><br /> Erik Van den Broecke<br><br /> <br /> ==Tuesday June 15==<br /> Drew Levin<br><br /> Leif Karlstrom<br><br /> Mark Laidre<br><br /> Borys Wrobel<br><br /> ==Wednesday June 16==<br /> Joseph Gran<br><br /> Micael Ehn<br><br /> Damian Blasi<br><br /> Daniel Jones<br><br /> <br /> ==Thursday June 17==<br /> Yixian Song<br><br /> Sam Scarpino<br><br /> Giovanni Petri<br><br /> Michael Szell<br><br /> <br /> ==Friday June 18==<br /> Sandra Bennun<br><br /> Susanne Shultz<br><br /> Lynette Shaw<br><br /> Sarah Wise <br><br /> ==(Saturday June 19)==<br /> ==(Sunday June 20)==<br /> <br /> <br /> ==Monday June 21==<br /> Dan MacKinlay<br><br /> Megan Olsen<br><br /> Vanessa Weinberger<br><br /> Jonathan Cannon<br><br /> <br /> ==Tuesday June 22==<br /> Erika Legara<br><br /> Gavin Fay<br><br /> Bruno Abrahao<br><br /> Zhiyuan Song<br><br /> <br /> ==Wednesday June 23==<br /> Julie Granka<br><br /> Nick Foti<br><br /> Felix Hol<br><br /> Oana Carja<br><br /> ==Thursday June 24==<br /> <br /> <br /> <br /> ==Friday June 25==</div>

Fsabou https://wiki.santafe.edu/index.php?title=CSSS_2010_Santa_Fe-Blog&diff=36725 CSSS 2010 Santa Fe-Blog 2010-06-11T05:55:33Z

<p>Fsabou: /* Friday June 11 */</p> <hr /> <div>{{CSSS 2010 Santa Fe}}<br /> <br /> Use this page as an informal forum to share your opinion and discuss anything at CSSS'10.<br /> <br /> * [[Michael Szell]]: Some people asked me about the URL of my online game. Here it is: http://www.pardus.at - Enjoy! :) (The tutorial may some time to complete..)<br /> <br /> * June 7 ([[Ana Hocevar]]): So I know my official day of contribution on the blog is not until tomorrow, but I wanted to share this with those who are interested. When I get inspired by someone giving a good talk, I have a tendency to write down some of the statements I find encouraging or funny and so on. So here are my favorite quotes from the first day of lectures (and I hope the lecturers don't mind this):<br /> <br /> "If there is one thing you should learn at the summer school, it's to speak up." -Dan Rockmore<br /> <br /> "Science is a social thing." - Dan Rockmore<br /> <br /> "You start with a beautiful idea and end up with reality." - Dan Rockmore<br /> <br /> "Commit to taking advantage of this opportunity." -Dan Rockmore<br /> <br /> "Let it all marinate up there." -Dan Rockmore<br /> <br /> "And wear sunscreen." -Ginger Richardson<br /> <br /> [[Dan Rockmore]]: Here is a link to the NYR piece I mentioned today <br /> http://www.nybooks.com/articles/archives/2010/jun/24/other-side-science/<br /> Good to meet you all and looking fwd to a great CSSS.<br /> <br /> <br /> ==Monday June 7==<br /> Maria Opazo<br><br /> <br /> ===Alison Snyder<br>===<br /> <br /> I thought it might be interesting to give my perspective on today as a journalist and writer. What I starred and underlined in my notebook, what stuck in my head and why.<br /> <br /> First as a journalist…<br /> <br /> <br /> Schooling Fish<br /> <br /> I’m familiar with some of Iain’s research – the beautiful images and descriptions of phenomena that many curious people outside the sciences have seen and thought about lends itself to visual storytelling -- but today was the first time I heard him discuss his fish work. In particular, I’m going to follow what he’s looking at in terms of how individuals influence others in the group and the (preliminary?) finding that some individuals consistently influence the group. Because it is unpublished, I’ll check in with him periodically to discuss in more detail and see how the research is progressing as well as whether and when he might expect to publish the research.<br /> <br /> <br /> Moiré-ing <br /> <br /> Have you ever seen someone on TV who's striped shirt competed with the gravity of what they were saying? In TV production we pay editors large amounts of money for hours of work to fix moiré-ing so the term “numerical moiré-ing” caught my attention. <br /> <br /> <br /> Chaotic Mixing<br /> <br /> Liz mentioned her CU colleague who described clams that open up to exploit chaotic mixing to mix up their gametes. The counterintuitive idea of systems not only embracing chaos but exploiting it, is a provocative theme to explore in a general audience story. To most people, chaos is something to be avoided.<br /> <br /> <br /> Ideas that got my attention as a writer…<br /> <br /> <br /> Gas Gauges and Indelible Images<br /> <br /> In opening her lecture, Liz used the metaphor of her old car’s gas gauge to illustrate non-linearity. The gauge stayed on full then plunged when the tank was near empty rather than dropping as the gas level dropped. While it was a brief aside about a concept that is very easily understandable to a scientist, it might not be to a non-scientist. To someone who has never heard of or thought about non-linearity, they will understand it the first time they hear this metaphor and they’ll remember it. Even if they forget what the gas needle was illustrating, they can back track. Non-linearity becomes an indelible idea. <br /> <br /> As a writer, the metaphor also reminded me of the power of a simple idea in telling a story. One of the most difficult tasks is parsing the scale of what a story is about. Sometimes the most meaningful way to tell a story about the Empire State building is to describe one of the bricks.<br /> <br /> <br /> In other words, today was full of lots of ideas about research to follow and reminders about how to effectively communicate even the most basic of ideas and the power of doing just that.<br /> <br /> Looking forward to tomorrow…<br /> <br /> ===Kyla Dahlin===<br /> <br /> My notes from today are mostly graphs, equations, and Dan's quoted quote about "what if biologists had tried to develop a theory of gravity." I'd love to see a debate between the math/physics/universality camp and the biology/ecology/sociology/everything is different camp. Seems like an interesting tension within Complex Systems folks. <br /> <br /> So far the self-organization into project groups seems to be going well, and I'm sure it will evolve over time. Tonight a few of us talked about the pressure to collaborate being somewhat foreign - so much of PhD work is so solitary. I'm sure the sociologists would love to track the networks that are forming, the different players, and our final results.<br /> <br /> And I think we all are trying to maintain a balance of fun, thinking, working, and staying level in a world with constantly flowing coffee.<br /> <br /> ===Lucas Antiqueira===<br /> <br /> Some first impressions:<br /> <br /> This first day of lectures was really nice. I was exposed to subjects I'm not quite familiar with, lectures were excellent and inspiring, projects started to evolve. The process of getting to know people continued, there are so many brilliant minds here. <br /> <br /> The summer school is a dream coming true for me. I've been in Santa Fe for only a few days, and I can definitely tell that these days are among the most gratifying in my academic life. And things have just begun!<br /> <br /> Many thanks for the SFI/St.John's staff for the support! Not to mention the food, which is excellent by the way!<br /> <br /> ==Tuesday June 8==<br /> <br /> ===Andrew Banooni===<br /> Some of you have heard me use this analogy, and I’m certain that many others of you have heard it elsewhere, but they say that the amount of material there is to learn in medical school is a bit like trying to drink water from a fire hydrant. One thing that I had not realized until attending yesterday and today’s lectures, however, is how homogeneous that information seems, now that I’ve gotten a taste of the multidisciplinary approach here at SFI. Sure, there are a tremendous number of disease processes that involve vastly different physiologic systems, and don’t even get me started on all the bugs and drugs we have to learn, but it’s all medical. We don’t sit and discuss econometrics (actually I don’t think I’ve ever had a discussion about econometrics), or the influence of individual fish on collective behavior. Over the past two days, I’ve dusted off cobwebs from parts of my brain that I feel I haven’t used in years. I don’t mean to say that I am rusty in certain topics (and completely new to many others), but rather that I feel that in the past 48 hours I have been thinking in ways I haven’t had to think in my graduate training. In medicine, you can survive by learning a tremendous number of facts and then regurgitating them at the appropriate time. We observe, we recognize patterns, we diagnose, we treat. I am so thankful for this refreshing reminder that there is so much more enrichment to be had, that the medical problem I am trying to solve can share many similarities with a physical, financial, or aeronautic one my colleague might be struggling with. I feel inspired by every one of you, very lucky to be here, and I look forward to three amazing weeks! <br /> <br /> ===Andreas Ligtvoet===<br /> ====Liz====<br /> * It's a skill to explain difficult stuff in an easy way.<br /> * Lots of dusting off of things I should know, but forgot. <br /> <br /> ====Peter====<br /> * Some interesting discussion about the end of theory due to access to large amount of data. It doesn't help you understand stuff, though.<br /> * Walmart seems to have enormous amounts of data. A colleague of mine suggested finding ecologies of consumer products. What type of furniture goes best with red napkins?<br /> * We can create huge amounts of non-existant networks and have fun with them.<br /> * An average node degree of about 4 leads to hairballs. What can we do with those?<br /> <br /> ====Iain====<br /> * The larger the group of naive individuals, the (relatively) easier it is to influence it. For 10 individuals you need 50% 'leaders', whereas for larger groups only a few %.<br /> * Another interesting remark either yesterday or today: just because you have a nice model for some fish species, doesn't mean you can apply it to cows or bugs or. ..<br /> * THe details of the system do not matter in a collective transition.<br /> * As soon as you behave differently, you are nailed.<br /> <br /> ====Tom====<br /> * How much to put in a model? Not too much, says Tom. However, what good is an "economic" model that shows a Bolzman distribution? His answer is that this is a natural law in other words, you will never make an economy where the Bolzman distribution does not exist. It is even worse if you allow people to invest.<br /> **In the state of Ilinois, Pi was legally defined as 3.<br /> **Stochastics from στοχαστικός, from στοχάζομαι ‘aim at a target, guess’, from στόχος ‘an aim, a guess’.<br /> **Mention power law and get published!<br /> *Immunize Pig/Mexican/Flu: make use of power law in a network => your friends are more connected than you are! Fascinating...<br /> *We don't know all that much about networks: we don't know what matters.<br /> *Agents with genomes: 10010101. DIstribution split of genome crossover matter!<br /> **T-shirt sniffing leads to selection of different immune systems.<br /> *In complex systems there is a lot of exploratory stuff.<br /> *Tom is a (scientific) heretic.<br /> <br /> ====Drinks====<br /> @Cowgirls. What's this ID thing about anyway? Don't I look old enough?<br /> <br /> ===Xin Wang===<br /> The topics today are involved in nonlinear dynamics, complex networks and collective behaviors. I am very interested in those topics before this summer school, and through lectures I get the deeper understanding about those three areas.<br /> <br /> But what impresses me most is that the students here are very active and it is different from the situation in China. In the meantime, I enjoy the joy of communicating with people from different backgrounds and getting cross-field collaboration.<br /> <br /> <br /> ===Ana Hocevar===<br /> <br /> I am not a blog person really, I've never written a blog before, but I guess CSSS is also a great opportunity for trying out new things unrelated to science. So, here I go.<br /> <br /> As many others, I can't get over how amazing Iain Couzin's talks were. I am very impressed and greatly inspired. Usually attending physics conferences that left me wondering what it was that I was missing, Iain I think made me realize I prefer systems that include things with eyes and wings. Or perhaps gills? Amazing work in my opinion, really.<br /> <br /> I should also thank Liz Bradley for giving incredibly clear lectures on nonlinear dynamics. From the courses I had on chaos, I wouldn't imagine such an intuitive presentation of the topic is possible. It certainly isn't easy, so: Liz, you rock!<br /> <br /> <br /> I haven't been enjoying only the lectures, though. Dancing to no music with Andrew, listening to Jonathan playing the violin, stimulating discussions over lunch or breakfast, great food (we even have ice-cream!) and so much more...<br /> <br /> So with such great company, such cool science and so many wonderful things still ahead of us, I can only say I am very grateful to be here.<br /> <br /> ===Borys Wrobel===<br /> I will not be the first to say that Liz Bradley's lectures are something to behold. I am constantly taking notes on not what she explains but HOW she does it. Especially the mix of powerpoint and whiteboard/transparencies. Hopefully I can decipher my handwriting when it comes to explain some of this stuff when I am teaching. Iain Couzin's are also very inspiring, especially on the advantages of keeping things simple. It was even more inspiring to talk to him @cowgirls, especially his views that it is important to discourage grad students/postdocs to keep TOO long hours... and the importance of having a 'fun lab' in attracting people that would like to work you. It was fascinating to see how Tom Carter engages the audience, so late in the evening (and after dinner, too!). I am not sure that we Europeans agree on his view on how the economic inequalities can be addressed, he seemed very pessimistic about the possibility of it, and many people in the room, I think, were asking themselves how introducing taxes etc. would affect the distributions.<br /> <br /> ===Other remarks===<br /> Some people may be interested in the http://decoi.collectivae.net/ Design Of Collective Intelligence series - those are 1 week long versions of what SFI is trying to do, but mainly focused at multi agent systems.<br /> <br /> Also interesting, and this is even a longer shot, is http://www.nextgenerationinfrastructures.eu/academy if you are interested in (physical) networks and infrastructures.<br /> <br /> <br /> Here is an article about the spread of contagion in a social network written for a general audience, as an example of science journalism:<br /> <br /> "Infectious Personalities", The Economist, May 13, 2010. http://www.economist.com/node/16103882<br /> <br /> AS<br /> <br /> ==Wednesday June 9==<br /> <br /> Today was a sad day for Dutch politics. [[User:Ligtvoet|Ligtvoet]]<br /> <br /> <br /> <br /> <b> Thank you Paige and Coco. </b> [[Samuel_Scarpino|Samuel_Scarpino]]<br /> <p> Great Kerouacish moment. Thanks hairy thighs! [[Giovanni Petri]] </p><br /> <br /> ([[jp]]) Man, I don't know what went on last night...<br /> <br /> <br /> <br /> <br /> <br /> ===Ingrid van Putten<br>===<br /> Lots can be said about the visual art - but the bar has definitely been raised by mathmeticians and computer geeks over the past two days at SFI. Not only did we have buildings tumbling down or having fish swim out of them at the Santa Fe Complex last night, but today liz completely outdid the lot by making music and then ... dance. Those performances should make maths, physics, and computer science interesting to anyone!<br /> <br /> ===Thomas Maillart===<br /> This morning Peter told about network attack tolerance. The results obtained by Albert et al. Nature (2000) for scale-free networks are a direct consequence of the "robust yet fragile" (also called HOT - Highly Optimized Tolerance) concept first coined by Carlson et al. Physical Review Letters also in 2000. However, Newman et al. criticized the HOT model (in Physical Review Letters, 2002), arguing that while "optimized", scale-free systems, the optimization process should occur at some costs. Thus, they introduced the COLD model ("constrained optimization with limited deviations"), by adding a cost to optimization (i.e. preventing the formation of scale-free systems). Under these conditions, the tolerance to attacks should be improved. The interesting point behind the message, is that there is an intrinsic trade-off between optimization and risks, i.e. optimized systems are prone to suffer more extreme damage (heavy-tailed distribution of damage).<br /> <br /> On the same topic, Doyle et al. (PNAS 2005) argued that the model by Albert et al. (Nature 2000) does not hold for the Internet because the most connected nodes are not in the core of the Internet, which is typically low connected. The main point of this article is to point the importance of looking at the mesoscopic structure of real networks, and not only their degree distribution or general purpose metrics.<br /> <br /> ===Vessela Daskalova===<br /> <br /> Some thoughts inspired by Tanmoy Bhattacharya's lecture on inference in historical processes and by Tom Carter's modeling workshop:<br /> <br /> They both tackled two classical questions regarding the methodology used in different fields.<br /> <br /> 1) Are we trying to explain past observations or are we trying to predict future events? And how do models in different fields reflect this goal?<br /> <br /> 2) Do we want to build in what we already "know" in models we are building/ regressions we are running?<br /> <br /> Obviously, people from different fields will answer these questions differently. It would be cool if at least one person from each field wrote about what is accepted in their area.<br /> <br /> Here one point of view from economics:<br /> <br /> on 1) In contrast to historians, who try to give a good explanation of what happened in the past and why, economists try to make some predictions regarding the future. Therefore, models/regressions in economics include fewer variables than models/regressions in history and political science. Tanmoy Bhattacharya argued in favor of including many explanatory variables when using maximum likelihood for historical inference. However, if the goal was prediction rather than inference, the number of explanatory variables would have to be reduced to avoid introducing a lot of past noise in the predictions.<br /> <br /> on 2) In the social sciences (especially economics) there is a tendency to build in some assumptions of what matters in your model. This seems useful (at least to me) as many of the phenomena we are analyzing are a result of social interaction, there is a large degree of randomness in the environment and unless we use our a priori knowledge (as Tanmoy Bhattacharya argued yesterday), we cannot expect to come up with some deterministic equation that accounts for social phenomena.<br /> <br /> Coming back to prediction in economic models, let me end with a popular economics joke:<br /> "Why do meteorologists make weather forecasts?"<br /> "To make economic forecasts look good."<br /> Just to clarify, this is not meant as an insult to meteorologists, but as self-irony:)<br /> <br /> ===Kasia Samson===<br><br /> <br /> <br /> ===Borys Wrobel===<br /> It is really too bad that Peter Dodds did not have the time to present his last lecture, I was really interested in hearing it. I feel this was the cost of the historical perspective (his first lecture)... Santa Fe Complex sure was fun, it sure seemed a geek paradise. It was great to see the American culture of innovation at its best... But it sure was a grueling day, having to get up earlier than on the other days, running to the buses, going from one place to another. Not enough time to explore the SFI (and its library) really, hopefully it will be possible next Wed... It is amazing that so many people decided to stay late at night and walk back to St John's...<br /> <br /> ==Thursday June 10==<br /> ===Chaitanya Gokhale<br>===<br /> "The trick about life is to make it look simple."<br /> <br /> It would seem quite ironic if I say this at a “complex” systems summer school, but the more I get immersed in the subject the more I think that it is relevant statement.<br /> I mostly apply nonlinear dynamics to develop mathematical models of biological system and apply evolutionary game theory to biologically, socially relevant concepts. Please note that both of these is not data driven to begin with.<br /> <br /> Oxford Dictionary defines “model” as follows (model in the context as we use it),<br /> <br /> ...3 something used as an example. 4 a simplified mathematical description of a system or process, used to assist calculations and predictions. 5 an excellent example of a quality....<br /> <br /> A model is not the actual system.<br /> Tom Carter gave an amazing demonstration of that fact. The models he was discussing were not of as much importance as the message he was trying to put across. We do not need complex models to understand complex systems, rather simple models is what we should be aiming for because the goal is not to replicate the complexity but to understand it in simpler terms.<br /> The same thing was iterated by Owen Densmore at the SF Complex and saying that what they are doing is complex would be the biggest understatement.<br /> Today again Jure just amazingly deflated the whole network complexity into a simple 2 \times 2 matrix confirming the idea ever more.<br /> <br /> Any fool can make things bigger, more complex and more violent. It takes a touch of genius and a lot of courage to move in the opposite direction<br /> --Albert Einstein<br /> <br /> On a different note, I loved Liz Bradley’s lectures. Though I have been using the methods for quite a while now, I had never seen such a crystal clear overview of nonlinear dynamics before.<br /> <br /> ===Jing Li<br>===<br /> When Google first topped the 100 best companies to work for, Fortune's comment was 'It's the kind of place where, yes, you're going to work but you also know you are going to have a fun time as well'. I would like to say exactly the same for CSSS 2010. <br /> <br /> What a beautiful day today! Liz's final presentation is as excellent as previous: science is not only interesting, but also COOL; Nathan is as impressive as his project at CSSS; Jure is so passionate about his research. Dan, your comment is the highlight of the presentation, as always.<br /> <br /> A friend of mine who was in CSSS 2009 wrote 'I hope your time at SFI is as wonderful for you as it was for me'. Yes, it is!<br /> <br /> Griff Rees<br><br /> <br /> Bradford Cross has a great [http://measuringmeasures.com/blog/2010/6/9/learning-about-network-theory.html post] on learning about network theory that everyone with an interest in networks will probably find useful. Look at it or bookmark it for later, it compliments our previous lectures well.<br /> <br /> The CSSS hash tag on twitter is #CSSS, the REU tag is #SFI.<br /> <br /> ===Bruno Abrahao<br>===<br /> <br /> One of the recurring themes in our lectures was power-laws in the degree distribution of complex networks. Since this feature was so prevalent across different networks, coming from many different domains, researchers started to create generative models that replicate this observation, with the goal of shedding insight on the root cause of this phenomenon. Some of the plausible explanations include preferential attachment, the copying model and others. <br /> <br /> In 2004, [http://conferences.sigcomm.org/sigcomm/2004/papers/p599-li.pdf Li-Alderson-Willinger-Doyle] made the point that observing a power-law does not give us any insight on the underlying phenomenon. They show that a large number of different networks, with dramatically different characteristics, exhibit the same power-law behavior with the same power-law exponent. The paper was very well received by the computer systems community (it received the best paper award in the top conference in the area, ACM SIGCOMM), but it seems to be often ignored by other communities. <br /> <br /> To make matters more complicated, [http://www.eecs.harvard.edu/~michaelm/postscripts/im2004a.pdf Mitzenmacher] made the point that it is virtually impossible to distinguish any generative process that exhibit power-law behavior from those that exhibit lognormal distribution.<br /> <br /> Can we conclude that power-law observations must be accompanied by some form of validation of the root cause of the phenomenon in order give us useful information on complex systems?<br /> <br /> === Anna Pechenkina<br>===<br /> <br /> Thanks, Bruno, for bringing this up! Networks are new to me, but the published findings of power laws in agent-based models is something that I've come across quite a bit. The question of model validation seems to lack a good answer (and expected practice, which is true at least in political science). If a model generates a power law distribution of some parameter of interest, normally, people do check for robustness of the finding. However, even when the model produces the power law across a large portion of the parameter space, this is no guarantee that the model is a good model of the phenomenon of interest (Tom Carter mentioned on Tues finite vs. infinite variance). The fact that there may be other ways to reach the same power law distribution calls for some sort of validation of the model's mechanism. I would like to hear what others believe a good example of "validation of the model's mechanism" can be (testing the model's *additional* implications against observational data? designing a test of whether the subjects use indeed the decision-making rule specified in the model? modeling different decision-making rules?) Cites of good examples are much appreciated!<br /> <br /> ==Friday June 11==<br /> Kang Zhao<br><br /> ===Florian Sabou===<br><br /> Roberta Sinatra<br><br /> Bogdan State<br><br /> <br /> ==(Saturday June 12)==<br /> ==(Sunday June 13)==<br /> <br /> ==Monday June 14==<br /> Andrew Hein<br><br /> Tracey McDole<br><br /> Sergey Melnik<br><br /> Erik Van den Broecke<br><br /> <br /> ==Tuesday June 15==<br /> Drew Levin<br><br /> Leif Karlstrom<br><br /> Mark Laidre<br><br /> Borys Wrobel<br><br /> ==Wednesday June 16==<br /> Joseph Gran<br><br /> Micael Ehn<br><br /> Damian Blasi<br><br /> Daniel Jones<br><br /> <br /> ==Thursday June 17==<br /> Yixian Song<br><br /> Sam Scarpino<br><br /> Giovanni Petri<br><br /> Michael Szell<br><br /> <br /> ==Friday June 18==<br /> Sandra Bennun<br><br /> Susanne Shultz<br><br /> Lynette Shaw<br><br /> Sarah Wise <br><br /> ==(Saturday June 19)==<br /> ==(Sunday June 20)==<br /> <br /> <br /> ==Monday June 21==<br /> Dan MacKinlay<br><br /> Megan Olsen<br><br /> Vanessa Weinberger<br><br /> Jonathan Cannon<br><br /> <br /> ==Tuesday June 22==<br /> Erika Legara<br><br /> Gavin Fay<br><br /> Bruno Abrahao<br><br /> Zhiyuan Song<br><br /> <br /> ==Wednesday June 23==<br /> Julie Granka<br><br /> Nick Foti<br><br /> Felix Hol<br><br /> Oana Carja<br><br /> ==Thursday June 24==<br /> <br /> <br /> <br /> ==Friday June 25==</div>

Fsabou https://wiki.santafe.edu/index.php?title=CSSS_2010_Santa_Fe-Blog&diff=36724 CSSS 2010 Santa Fe-Blog 2010-06-11T05:55:15Z

<p>Fsabou: /* Friday June 11 */</p> <hr /> <div>{{CSSS 2010 Santa Fe}}<br /> <br /> Use this page as an informal forum to share your opinion and discuss anything at CSSS'10.<br /> <br /> * [[Michael Szell]]: Some people asked me about the URL of my online game. Here it is: http://www.pardus.at - Enjoy! :) (The tutorial may some time to complete..)<br /> <br /> * June 7 ([[Ana Hocevar]]): So I know my official day of contribution on the blog is not until tomorrow, but I wanted to share this with those who are interested. When I get inspired by someone giving a good talk, I have a tendency to write down some of the statements I find encouraging or funny and so on. So here are my favorite quotes from the first day of lectures (and I hope the lecturers don't mind this):<br /> <br /> "If there is one thing you should learn at the summer school, it's to speak up." -Dan Rockmore<br /> <br /> "Science is a social thing." - Dan Rockmore<br /> <br /> "You start with a beautiful idea and end up with reality." - Dan Rockmore<br /> <br /> "Commit to taking advantage of this opportunity." -Dan Rockmore<br /> <br /> "Let it all marinate up there." -Dan Rockmore<br /> <br /> "And wear sunscreen." -Ginger Richardson<br /> <br /> [[Dan Rockmore]]: Here is a link to the NYR piece I mentioned today <br /> http://www.nybooks.com/articles/archives/2010/jun/24/other-side-science/<br /> Good to meet you all and looking fwd to a great CSSS.<br /> <br /> <br /> ==Monday June 7==<br /> Maria Opazo<br><br /> <br /> ===Alison Snyder<br>===<br /> <br /> I thought it might be interesting to give my perspective on today as a journalist and writer. What I starred and underlined in my notebook, what stuck in my head and why.<br /> <br /> First as a journalist…<br /> <br /> <br /> Schooling Fish<br /> <br /> I’m familiar with some of Iain’s research – the beautiful images and descriptions of phenomena that many curious people outside the sciences have seen and thought about lends itself to visual storytelling -- but today was the first time I heard him discuss his fish work. In particular, I’m going to follow what he’s looking at in terms of how individuals influence others in the group and the (preliminary?) finding that some individuals consistently influence the group. Because it is unpublished, I’ll check in with him periodically to discuss in more detail and see how the research is progressing as well as whether and when he might expect to publish the research.<br /> <br /> <br /> Moiré-ing <br /> <br /> Have you ever seen someone on TV who's striped shirt competed with the gravity of what they were saying? In TV production we pay editors large amounts of money for hours of work to fix moiré-ing so the term “numerical moiré-ing” caught my attention. <br /> <br /> <br /> Chaotic Mixing<br /> <br /> Liz mentioned her CU colleague who described clams that open up to exploit chaotic mixing to mix up their gametes. The counterintuitive idea of systems not only embracing chaos but exploiting it, is a provocative theme to explore in a general audience story. To most people, chaos is something to be avoided.<br /> <br /> <br /> Ideas that got my attention as a writer…<br /> <br /> <br /> Gas Gauges and Indelible Images<br /> <br /> In opening her lecture, Liz used the metaphor of her old car’s gas gauge to illustrate non-linearity. The gauge stayed on full then plunged when the tank was near empty rather than dropping as the gas level dropped. While it was a brief aside about a concept that is very easily understandable to a scientist, it might not be to a non-scientist. To someone who has never heard of or thought about non-linearity, they will understand it the first time they hear this metaphor and they’ll remember it. Even if they forget what the gas needle was illustrating, they can back track. Non-linearity becomes an indelible idea. <br /> <br /> As a writer, the metaphor also reminded me of the power of a simple idea in telling a story. One of the most difficult tasks is parsing the scale of what a story is about. Sometimes the most meaningful way to tell a story about the Empire State building is to describe one of the bricks.<br /> <br /> <br /> In other words, today was full of lots of ideas about research to follow and reminders about how to effectively communicate even the most basic of ideas and the power of doing just that.<br /> <br /> Looking forward to tomorrow…<br /> <br /> ===Kyla Dahlin===<br /> <br /> My notes from today are mostly graphs, equations, and Dan's quoted quote about "what if biologists had tried to develop a theory of gravity." I'd love to see a debate between the math/physics/universality camp and the biology/ecology/sociology/everything is different camp. Seems like an interesting tension within Complex Systems folks. <br /> <br /> So far the self-organization into project groups seems to be going well, and I'm sure it will evolve over time. Tonight a few of us talked about the pressure to collaborate being somewhat foreign - so much of PhD work is so solitary. I'm sure the sociologists would love to track the networks that are forming, the different players, and our final results.<br /> <br /> And I think we all are trying to maintain a balance of fun, thinking, working, and staying level in a world with constantly flowing coffee.<br /> <br /> ===Lucas Antiqueira===<br /> <br /> Some first impressions:<br /> <br /> This first day of lectures was really nice. I was exposed to subjects I'm not quite familiar with, lectures were excellent and inspiring, projects started to evolve. The process of getting to know people continued, there are so many brilliant minds here. <br /> <br /> The summer school is a dream coming true for me. I've been in Santa Fe for only a few days, and I can definitely tell that these days are among the most gratifying in my academic life. And things have just begun!<br /> <br /> Many thanks for the SFI/St.John's staff for the support! Not to mention the food, which is excellent by the way!<br /> <br /> ==Tuesday June 8==<br /> <br /> ===Andrew Banooni===<br /> Some of you have heard me use this analogy, and I’m certain that many others of you have heard it elsewhere, but they say that the amount of material there is to learn in medical school is a bit like trying to drink water from a fire hydrant. One thing that I had not realized until attending yesterday and today’s lectures, however, is how homogeneous that information seems, now that I’ve gotten a taste of the multidisciplinary approach here at SFI. Sure, there are a tremendous number of disease processes that involve vastly different physiologic systems, and don’t even get me started on all the bugs and drugs we have to learn, but it’s all medical. We don’t sit and discuss econometrics (actually I don’t think I’ve ever had a discussion about econometrics), or the influence of individual fish on collective behavior. Over the past two days, I’ve dusted off cobwebs from parts of my brain that I feel I haven’t used in years. I don’t mean to say that I am rusty in certain topics (and completely new to many others), but rather that I feel that in the past 48 hours I have been thinking in ways I haven’t had to think in my graduate training. In medicine, you can survive by learning a tremendous number of facts and then regurgitating them at the appropriate time. We observe, we recognize patterns, we diagnose, we treat. I am so thankful for this refreshing reminder that there is so much more enrichment to be had, that the medical problem I am trying to solve can share many similarities with a physical, financial, or aeronautic one my colleague might be struggling with. I feel inspired by every one of you, very lucky to be here, and I look forward to three amazing weeks! <br /> <br /> ===Andreas Ligtvoet===<br /> ====Liz====<br /> * It's a skill to explain difficult stuff in an easy way.<br /> * Lots of dusting off of things I should know, but forgot. <br /> <br /> ====Peter====<br /> * Some interesting discussion about the end of theory due to access to large amount of data. It doesn't help you understand stuff, though.<br /> * Walmart seems to have enormous amounts of data. A colleague of mine suggested finding ecologies of consumer products. What type of furniture goes best with red napkins?<br /> * We can create huge amounts of non-existant networks and have fun with them.<br /> * An average node degree of about 4 leads to hairballs. What can we do with those?<br /> <br /> ====Iain====<br /> * The larger the group of naive individuals, the (relatively) easier it is to influence it. For 10 individuals you need 50% 'leaders', whereas for larger groups only a few %.<br /> * Another interesting remark either yesterday or today: just because you have a nice model for some fish species, doesn't mean you can apply it to cows or bugs or. ..<br /> * THe details of the system do not matter in a collective transition.<br /> * As soon as you behave differently, you are nailed.<br /> <br /> ====Tom====<br /> * How much to put in a model? Not too much, says Tom. However, what good is an "economic" model that shows a Bolzman distribution? His answer is that this is a natural law in other words, you will never make an economy where the Bolzman distribution does not exist. It is even worse if you allow people to invest.<br /> **In the state of Ilinois, Pi was legally defined as 3.<br /> **Stochastics from στοχαστικός, from στοχάζομαι ‘aim at a target, guess’, from στόχος ‘an aim, a guess’.<br /> **Mention power law and get published!<br /> *Immunize Pig/Mexican/Flu: make use of power law in a network => your friends are more connected than you are! Fascinating...<br /> *We don't know all that much about networks: we don't know what matters.<br /> *Agents with genomes: 10010101. DIstribution split of genome crossover matter!<br /> **T-shirt sniffing leads to selection of different immune systems.<br /> *In complex systems there is a lot of exploratory stuff.<br /> *Tom is a (scientific) heretic.<br /> <br /> ====Drinks====<br /> @Cowgirls. What's this ID thing about anyway? Don't I look old enough?<br /> <br /> ===Xin Wang===<br /> The topics today are involved in nonlinear dynamics, complex networks and collective behaviors. I am very interested in those topics before this summer school, and through lectures I get the deeper understanding about those three areas.<br /> <br /> But what impresses me most is that the students here are very active and it is different from the situation in China. In the meantime, I enjoy the joy of communicating with people from different backgrounds and getting cross-field collaboration.<br /> <br /> <br /> ===Ana Hocevar===<br /> <br /> I am not a blog person really, I've never written a blog before, but I guess CSSS is also a great opportunity for trying out new things unrelated to science. So, here I go.<br /> <br /> As many others, I can't get over how amazing Iain Couzin's talks were. I am very impressed and greatly inspired. Usually attending physics conferences that left me wondering what it was that I was missing, Iain I think made me realize I prefer systems that include things with eyes and wings. Or perhaps gills? Amazing work in my opinion, really.<br /> <br /> I should also thank Liz Bradley for giving incredibly clear lectures on nonlinear dynamics. From the courses I had on chaos, I wouldn't imagine such an intuitive presentation of the topic is possible. It certainly isn't easy, so: Liz, you rock!<br /> <br /> <br /> I haven't been enjoying only the lectures, though. Dancing to no music with Andrew, listening to Jonathan playing the violin, stimulating discussions over lunch or breakfast, great food (we even have ice-cream!) and so much more...<br /> <br /> So with such great company, such cool science and so many wonderful things still ahead of us, I can only say I am very grateful to be here.<br /> <br /> ===Borys Wrobel===<br /> I will not be the first to say that Liz Bradley's lectures are something to behold. I am constantly taking notes on not what she explains but HOW she does it. Especially the mix of powerpoint and whiteboard/transparencies. Hopefully I can decipher my handwriting when it comes to explain some of this stuff when I am teaching. Iain Couzin's are also very inspiring, especially on the advantages of keeping things simple. It was even more inspiring to talk to him @cowgirls, especially his views that it is important to discourage grad students/postdocs to keep TOO long hours... and the importance of having a 'fun lab' in attracting people that would like to work you. It was fascinating to see how Tom Carter engages the audience, so late in the evening (and after dinner, too!). I am not sure that we Europeans agree on his view on how the economic inequalities can be addressed, he seemed very pessimistic about the possibility of it, and many people in the room, I think, were asking themselves how introducing taxes etc. would affect the distributions.<br /> <br /> ===Other remarks===<br /> Some people may be interested in the http://decoi.collectivae.net/ Design Of Collective Intelligence series - those are 1 week long versions of what SFI is trying to do, but mainly focused at multi agent systems.<br /> <br /> Also interesting, and this is even a longer shot, is http://www.nextgenerationinfrastructures.eu/academy if you are interested in (physical) networks and infrastructures.<br /> <br /> <br /> Here is an article about the spread of contagion in a social network written for a general audience, as an example of science journalism:<br /> <br /> "Infectious Personalities", The Economist, May 13, 2010. http://www.economist.com/node/16103882<br /> <br /> AS<br /> <br /> ==Wednesday June 9==<br /> <br /> Today was a sad day for Dutch politics. [[User:Ligtvoet|Ligtvoet]]<br /> <br /> <br /> <br /> <b> Thank you Paige and Coco. </b> [[Samuel_Scarpino|Samuel_Scarpino]]<br /> <p> Great Kerouacish moment. Thanks hairy thighs! [[Giovanni Petri]] </p><br /> <br /> ([[jp]]) Man, I don't know what went on last night...<br /> <br /> <br /> <br /> <br /> <br /> ===Ingrid van Putten<br>===<br /> Lots can be said about the visual art - but the bar has definitely been raised by mathmeticians and computer geeks over the past two days at SFI. Not only did we have buildings tumbling down or having fish swim out of them at the Santa Fe Complex last night, but today liz completely outdid the lot by making music and then ... dance. Those performances should make maths, physics, and computer science interesting to anyone!<br /> <br /> ===Thomas Maillart===<br /> This morning Peter told about network attack tolerance. The results obtained by Albert et al. Nature (2000) for scale-free networks are a direct consequence of the "robust yet fragile" (also called HOT - Highly Optimized Tolerance) concept first coined by Carlson et al. Physical Review Letters also in 2000. However, Newman et al. criticized the HOT model (in Physical Review Letters, 2002), arguing that while "optimized", scale-free systems, the optimization process should occur at some costs. Thus, they introduced the COLD model ("constrained optimization with limited deviations"), by adding a cost to optimization (i.e. preventing the formation of scale-free systems). Under these conditions, the tolerance to attacks should be improved. The interesting point behind the message, is that there is an intrinsic trade-off between optimization and risks, i.e. optimized systems are prone to suffer more extreme damage (heavy-tailed distribution of damage).<br /> <br /> On the same topic, Doyle et al. (PNAS 2005) argued that the model by Albert et al. (Nature 2000) does not hold for the Internet because the most connected nodes are not in the core of the Internet, which is typically low connected. The main point of this article is to point the importance of looking at the mesoscopic structure of real networks, and not only their degree distribution or general purpose metrics.<br /> <br /> ===Vessela Daskalova===<br /> <br /> Some thoughts inspired by Tanmoy Bhattacharya's lecture on inference in historical processes and by Tom Carter's modeling workshop:<br /> <br /> They both tackled two classical questions regarding the methodology used in different fields.<br /> <br /> 1) Are we trying to explain past observations or are we trying to predict future events? And how do models in different fields reflect this goal?<br /> <br /> 2) Do we want to build in what we already "know" in models we are building/ regressions we are running?<br /> <br /> Obviously, people from different fields will answer these questions differently. It would be cool if at least one person from each field wrote about what is accepted in their area.<br /> <br /> Here one point of view from economics:<br /> <br /> on 1) In contrast to historians, who try to give a good explanation of what happened in the past and why, economists try to make some predictions regarding the future. Therefore, models/regressions in economics include fewer variables than models/regressions in history and political science. Tanmoy Bhattacharya argued in favor of including many explanatory variables when using maximum likelihood for historical inference. However, if the goal was prediction rather than inference, the number of explanatory variables would have to be reduced to avoid introducing a lot of past noise in the predictions.<br /> <br /> on 2) In the social sciences (especially economics) there is a tendency to build in some assumptions of what matters in your model. This seems useful (at least to me) as many of the phenomena we are analyzing are a result of social interaction, there is a large degree of randomness in the environment and unless we use our a priori knowledge (as Tanmoy Bhattacharya argued yesterday), we cannot expect to come up with some deterministic equation that accounts for social phenomena.<br /> <br /> Coming back to prediction in economic models, let me end with a popular economics joke:<br /> "Why do meteorologists make weather forecasts?"<br /> "To make economic forecasts look good."<br /> Just to clarify, this is not meant as an insult to meteorologists, but as self-irony:)<br /> <br /> ===Kasia Samson===<br><br /> <br /> <br /> ===Borys Wrobel===<br /> It is really too bad that Peter Dodds did not have the time to present his last lecture, I was really interested in hearing it. I feel this was the cost of the historical perspective (his first lecture)... Santa Fe Complex sure was fun, it sure seemed a geek paradise. It was great to see the American culture of innovation at its best... But it sure was a grueling day, having to get up earlier than on the other days, running to the buses, going from one place to another. Not enough time to explore the SFI (and its library) really, hopefully it will be possible next Wed... It is amazing that so many people decided to stay late at night and walk back to St John's...<br /> <br /> ==Thursday June 10==<br /> ===Chaitanya Gokhale<br>===<br /> "The trick about life is to make it look simple."<br /> <br /> It would seem quite ironic if I say this at a “complex” systems summer school, but the more I get immersed in the subject the more I think that it is relevant statement.<br /> I mostly apply nonlinear dynamics to develop mathematical models of biological system and apply evolutionary game theory to biologically, socially relevant concepts. Please note that both of these is not data driven to begin with.<br /> <br /> Oxford Dictionary defines “model” as follows (model in the context as we use it),<br /> <br /> ...3 something used as an example. 4 a simplified mathematical description of a system or process, used to assist calculations and predictions. 5 an excellent example of a quality....<br /> <br /> A model is not the actual system.<br /> Tom Carter gave an amazing demonstration of that fact. The models he was discussing were not of as much importance as the message he was trying to put across. We do not need complex models to understand complex systems, rather simple models is what we should be aiming for because the goal is not to replicate the complexity but to understand it in simpler terms.<br /> The same thing was iterated by Owen Densmore at the SF Complex and saying that what they are doing is complex would be the biggest understatement.<br /> Today again Jure just amazingly deflated the whole network complexity into a simple 2 \times 2 matrix confirming the idea ever more.<br /> <br /> Any fool can make things bigger, more complex and more violent. It takes a touch of genius and a lot of courage to move in the opposite direction<br /> --Albert Einstein<br /> <br /> On a different note, I loved Liz Bradley’s lectures. Though I have been using the methods for quite a while now, I had never seen such a crystal clear overview of nonlinear dynamics before.<br /> <br /> ===Jing Li<br>===<br /> When Google first topped the 100 best companies to work for, Fortune's comment was 'It's the kind of place where, yes, you're going to work but you also know you are going to have a fun time as well'. I would like to say exactly the same for CSSS 2010. <br /> <br /> What a beautiful day today! Liz's final presentation is as excellent as previous: science is not only interesting, but also COOL; Nathan is as impressive as his project at CSSS; Jure is so passionate about his research. Dan, your comment is the highlight of the presentation, as always.<br /> <br /> A friend of mine who was in CSSS 2009 wrote 'I hope your time at SFI is as wonderful for you as it was for me'. Yes, it is!<br /> <br /> Griff Rees<br><br /> <br /> Bradford Cross has a great [http://measuringmeasures.com/blog/2010/6/9/learning-about-network-theory.html post] on learning about network theory that everyone with an interest in networks will probably find useful. Look at it or bookmark it for later, it compliments our previous lectures well.<br /> <br /> The CSSS hash tag on twitter is #CSSS, the REU tag is #SFI.<br /> <br /> ===Bruno Abrahao<br>===<br /> <br /> One of the recurring themes in our lectures was power-laws in the degree distribution of complex networks. Since this feature was so prevalent across different networks, coming from many different domains, researchers started to create generative models that replicate this observation, with the goal of shedding insight on the root cause of this phenomenon. Some of the plausible explanations include preferential attachment, the copying model and others. <br /> <br /> In 2004, [http://conferences.sigcomm.org/sigcomm/2004/papers/p599-li.pdf Li-Alderson-Willinger-Doyle] made the point that observing a power-law does not give us any insight on the underlying phenomenon. They show that a large number of different networks, with dramatically different characteristics, exhibit the same power-law behavior with the same power-law exponent. The paper was very well received by the computer systems community (it received the best paper award in the top conference in the area, ACM SIGCOMM), but it seems to be often ignored by other communities. <br /> <br /> To make matters more complicated, [http://www.eecs.harvard.edu/~michaelm/postscripts/im2004a.pdf Mitzenmacher] made the point that it is virtually impossible to distinguish any generative process that exhibit power-law behavior from those that exhibit lognormal distribution.<br /> <br /> Can we conclude that power-law observations must be accompanied by some form of validation of the root cause of the phenomenon in order give us useful information on complex systems?<br /> <br /> === Anna Pechenkina<br>===<br /> <br /> Thanks, Bruno, for bringing this up! Networks are new to me, but the published findings of power laws in agent-based models is something that I've come across quite a bit. The question of model validation seems to lack a good answer (and expected practice, which is true at least in political science). If a model generates a power law distribution of some parameter of interest, normally, people do check for robustness of the finding. However, even when the model produces the power law across a large portion of the parameter space, this is no guarantee that the model is a good model of the phenomenon of interest (Tom Carter mentioned on Tues finite vs. infinite variance). The fact that there may be other ways to reach the same power law distribution calls for some sort of validation of the model's mechanism. I would like to hear what others believe a good example of "validation of the model's mechanism" can be (testing the model's *additional* implications against observational data? designing a test of whether the subjects use indeed the decision-making rule specified in the model? modeling different decision-making rules?) Cites of good examples are much appreciated!<br /> <br /> ==Friday June 11==<br /> Kang Zhao<br><br /> ===Florian Sabou=== <br><br /> Roberta Sinatra<br><br /> Bogdan State<br><br /> <br /> ==(Saturday June 12)==<br /> ==(Sunday June 13)==<br /> <br /> ==Monday June 14==<br /> Andrew Hein<br><br /> Tracey McDole<br><br /> Sergey Melnik<br><br /> Erik Van den Broecke<br><br /> <br /> ==Tuesday June 15==<br /> Drew Levin<br><br /> Leif Karlstrom<br><br /> Mark Laidre<br><br /> Borys Wrobel<br><br /> ==Wednesday June 16==<br /> Joseph Gran<br><br /> Micael Ehn<br><br /> Damian Blasi<br><br /> Daniel Jones<br><br /> <br /> ==Thursday June 17==<br /> Yixian Song<br><br /> Sam Scarpino<br><br /> Giovanni Petri<br><br /> Michael Szell<br><br /> <br /> ==Friday June 18==<br /> Sandra Bennun<br><br /> Susanne Shultz<br><br /> Lynette Shaw<br><br /> Sarah Wise <br><br /> ==(Saturday June 19)==<br /> ==(Sunday June 20)==<br /> <br /> <br /> ==Monday June 21==<br /> Dan MacKinlay<br><br /> Megan Olsen<br><br /> Vanessa Weinberger<br><br /> Jonathan Cannon<br><br /> <br /> ==Tuesday June 22==<br /> Erika Legara<br><br /> Gavin Fay<br><br /> Bruno Abrahao<br><br /> Zhiyuan Song<br><br /> <br /> ==Wednesday June 23==<br /> Julie Granka<br><br /> Nick Foti<br><br /> Felix Hol<br><br /> Oana Carja<br><br /> ==Thursday June 24==<br /> <br /> <br /> <br /> ==Friday June 25==</div>

Fsabou https://wiki.santafe.edu/index.php?title=CSSS_2010_Santa_Fe-Blog&diff=36723 CSSS 2010 Santa Fe-Blog 2010-06-11T05:54:39Z

<p>Fsabou: /* Friday June 11 */</p> <hr /> <div>{{CSSS 2010 Santa Fe}}<br /> <br /> Use this page as an informal forum to share your opinion and discuss anything at CSSS'10.<br /> <br /> * [[Michael Szell]]: Some people asked me about the URL of my online game. Here it is: http://www.pardus.at - Enjoy! :) (The tutorial may some time to complete..)<br /> <br /> * June 7 ([[Ana Hocevar]]): So I know my official day of contribution on the blog is not until tomorrow, but I wanted to share this with those who are interested. When I get inspired by someone giving a good talk, I have a tendency to write down some of the statements I find encouraging or funny and so on. So here are my favorite quotes from the first day of lectures (and I hope the lecturers don't mind this):<br /> <br /> "If there is one thing you should learn at the summer school, it's to speak up." -Dan Rockmore<br /> <br /> "Science is a social thing." - Dan Rockmore<br /> <br /> "You start with a beautiful idea and end up with reality." - Dan Rockmore<br /> <br /> "Commit to taking advantage of this opportunity." -Dan Rockmore<br /> <br /> "Let it all marinate up there." -Dan Rockmore<br /> <br /> "And wear sunscreen." -Ginger Richardson<br /> <br /> [[Dan Rockmore]]: Here is a link to the NYR piece I mentioned today <br /> http://www.nybooks.com/articles/archives/2010/jun/24/other-side-science/<br /> Good to meet you all and looking fwd to a great CSSS.<br /> <br /> <br /> ==Monday June 7==<br /> Maria Opazo<br><br /> <br /> ===Alison Snyder<br>===<br /> <br /> I thought it might be interesting to give my perspective on today as a journalist and writer. What I starred and underlined in my notebook, what stuck in my head and why.<br /> <br /> First as a journalist…<br /> <br /> <br /> Schooling Fish<br /> <br /> I’m familiar with some of Iain’s research – the beautiful images and descriptions of phenomena that many curious people outside the sciences have seen and thought about lends itself to visual storytelling -- but today was the first time I heard him discuss his fish work. In particular, I’m going to follow what he’s looking at in terms of how individuals influence others in the group and the (preliminary?) finding that some individuals consistently influence the group. Because it is unpublished, I’ll check in with him periodically to discuss in more detail and see how the research is progressing as well as whether and when he might expect to publish the research.<br /> <br /> <br /> Moiré-ing <br /> <br /> Have you ever seen someone on TV who's striped shirt competed with the gravity of what they were saying? In TV production we pay editors large amounts of money for hours of work to fix moiré-ing so the term “numerical moiré-ing” caught my attention. <br /> <br /> <br /> Chaotic Mixing<br /> <br /> Liz mentioned her CU colleague who described clams that open up to exploit chaotic mixing to mix up their gametes. The counterintuitive idea of systems not only embracing chaos but exploiting it, is a provocative theme to explore in a general audience story. To most people, chaos is something to be avoided.<br /> <br /> <br /> Ideas that got my attention as a writer…<br /> <br /> <br /> Gas Gauges and Indelible Images<br /> <br /> In opening her lecture, Liz used the metaphor of her old car’s gas gauge to illustrate non-linearity. The gauge stayed on full then plunged when the tank was near empty rather than dropping as the gas level dropped. While it was a brief aside about a concept that is very easily understandable to a scientist, it might not be to a non-scientist. To someone who has never heard of or thought about non-linearity, they will understand it the first time they hear this metaphor and they’ll remember it. Even if they forget what the gas needle was illustrating, they can back track. Non-linearity becomes an indelible idea. <br /> <br /> As a writer, the metaphor also reminded me of the power of a simple idea in telling a story. One of the most difficult tasks is parsing the scale of what a story is about. Sometimes the most meaningful way to tell a story about the Empire State building is to describe one of the bricks.<br /> <br /> <br /> In other words, today was full of lots of ideas about research to follow and reminders about how to effectively communicate even the most basic of ideas and the power of doing just that.<br /> <br /> Looking forward to tomorrow…<br /> <br /> ===Kyla Dahlin===<br /> <br /> My notes from today are mostly graphs, equations, and Dan's quoted quote about "what if biologists had tried to develop a theory of gravity." I'd love to see a debate between the math/physics/universality camp and the biology/ecology/sociology/everything is different camp. Seems like an interesting tension within Complex Systems folks. <br /> <br /> So far the self-organization into project groups seems to be going well, and I'm sure it will evolve over time. Tonight a few of us talked about the pressure to collaborate being somewhat foreign - so much of PhD work is so solitary. I'm sure the sociologists would love to track the networks that are forming, the different players, and our final results.<br /> <br /> And I think we all are trying to maintain a balance of fun, thinking, working, and staying level in a world with constantly flowing coffee.<br /> <br /> ===Lucas Antiqueira===<br /> <br /> Some first impressions:<br /> <br /> This first day of lectures was really nice. I was exposed to subjects I'm not quite familiar with, lectures were excellent and inspiring, projects started to evolve. The process of getting to know people continued, there are so many brilliant minds here. <br /> <br /> The summer school is a dream coming true for me. I've been in Santa Fe for only a few days, and I can definitely tell that these days are among the most gratifying in my academic life. And things have just begun!<br /> <br /> Many thanks for the SFI/St.John's staff for the support! Not to mention the food, which is excellent by the way!<br /> <br /> ==Tuesday June 8==<br /> <br /> ===Andrew Banooni===<br /> Some of you have heard me use this analogy, and I’m certain that many others of you have heard it elsewhere, but they say that the amount of material there is to learn in medical school is a bit like trying to drink water from a fire hydrant. One thing that I had not realized until attending yesterday and today’s lectures, however, is how homogeneous that information seems, now that I’ve gotten a taste of the multidisciplinary approach here at SFI. Sure, there are a tremendous number of disease processes that involve vastly different physiologic systems, and don’t even get me started on all the bugs and drugs we have to learn, but it’s all medical. We don’t sit and discuss econometrics (actually I don’t think I’ve ever had a discussion about econometrics), or the influence of individual fish on collective behavior. Over the past two days, I’ve dusted off cobwebs from parts of my brain that I feel I haven’t used in years. I don’t mean to say that I am rusty in certain topics (and completely new to many others), but rather that I feel that in the past 48 hours I have been thinking in ways I haven’t had to think in my graduate training. In medicine, you can survive by learning a tremendous number of facts and then regurgitating them at the appropriate time. We observe, we recognize patterns, we diagnose, we treat. I am so thankful for this refreshing reminder that there is so much more enrichment to be had, that the medical problem I am trying to solve can share many similarities with a physical, financial, or aeronautic one my colleague might be struggling with. I feel inspired by every one of you, very lucky to be here, and I look forward to three amazing weeks! <br /> <br /> ===Andreas Ligtvoet===<br /> ====Liz====<br /> * It's a skill to explain difficult stuff in an easy way.<br /> * Lots of dusting off of things I should know, but forgot. <br /> <br /> ====Peter====<br /> * Some interesting discussion about the end of theory due to access to large amount of data. It doesn't help you understand stuff, though.<br /> * Walmart seems to have enormous amounts of data. A colleague of mine suggested finding ecologies of consumer products. What type of furniture goes best with red napkins?<br /> * We can create huge amounts of non-existant networks and have fun with them.<br /> * An average node degree of about 4 leads to hairballs. What can we do with those?<br /> <br /> ====Iain====<br /> * The larger the group of naive individuals, the (relatively) easier it is to influence it. For 10 individuals you need 50% 'leaders', whereas for larger groups only a few %.<br /> * Another interesting remark either yesterday or today: just because you have a nice model for some fish species, doesn't mean you can apply it to cows or bugs or. ..<br /> * THe details of the system do not matter in a collective transition.<br /> * As soon as you behave differently, you are nailed.<br /> <br /> ====Tom====<br /> * How much to put in a model? Not too much, says Tom. However, what good is an "economic" model that shows a Bolzman distribution? His answer is that this is a natural law in other words, you will never make an economy where the Bolzman distribution does not exist. It is even worse if you allow people to invest.<br /> **In the state of Ilinois, Pi was legally defined as 3.<br /> **Stochastics from στοχαστικός, from στοχάζομαι ‘aim at a target, guess’, from στόχος ‘an aim, a guess’.<br /> **Mention power law and get published!<br /> *Immunize Pig/Mexican/Flu: make use of power law in a network => your friends are more connected than you are! Fascinating...<br /> *We don't know all that much about networks: we don't know what matters.<br /> *Agents with genomes: 10010101. DIstribution split of genome crossover matter!<br /> **T-shirt sniffing leads to selection of different immune systems.<br /> *In complex systems there is a lot of exploratory stuff.<br /> *Tom is a (scientific) heretic.<br /> <br /> ====Drinks====<br /> @Cowgirls. What's this ID thing about anyway? Don't I look old enough?<br /> <br /> ===Xin Wang===<br /> The topics today are involved in nonlinear dynamics, complex networks and collective behaviors. I am very interested in those topics before this summer school, and through lectures I get the deeper understanding about those three areas.<br /> <br /> But what impresses me most is that the students here are very active and it is different from the situation in China. In the meantime, I enjoy the joy of communicating with people from different backgrounds and getting cross-field collaboration.<br /> <br /> <br /> ===Ana Hocevar===<br /> <br /> I am not a blog person really, I've never written a blog before, but I guess CSSS is also a great opportunity for trying out new things unrelated to science. So, here I go.<br /> <br /> As many others, I can't get over how amazing Iain Couzin's talks were. I am very impressed and greatly inspired. Usually attending physics conferences that left me wondering what it was that I was missing, Iain I think made me realize I prefer systems that include things with eyes and wings. Or perhaps gills? Amazing work in my opinion, really.<br /> <br /> I should also thank Liz Bradley for giving incredibly clear lectures on nonlinear dynamics. From the courses I had on chaos, I wouldn't imagine such an intuitive presentation of the topic is possible. It certainly isn't easy, so: Liz, you rock!<br /> <br /> <br /> I haven't been enjoying only the lectures, though. Dancing to no music with Andrew, listening to Jonathan playing the violin, stimulating discussions over lunch or breakfast, great food (we even have ice-cream!) and so much more...<br /> <br /> So with such great company, such cool science and so many wonderful things still ahead of us, I can only say I am very grateful to be here.<br /> <br /> ===Borys Wrobel===<br /> I will not be the first to say that Liz Bradley's lectures are something to behold. I am constantly taking notes on not what she explains but HOW she does it. Especially the mix of powerpoint and whiteboard/transparencies. Hopefully I can decipher my handwriting when it comes to explain some of this stuff when I am teaching. Iain Couzin's are also very inspiring, especially on the advantages of keeping things simple. It was even more inspiring to talk to him @cowgirls, especially his views that it is important to discourage grad students/postdocs to keep TOO long hours... and the importance of having a 'fun lab' in attracting people that would like to work you. It was fascinating to see how Tom Carter engages the audience, so late in the evening (and after dinner, too!). I am not sure that we Europeans agree on his view on how the economic inequalities can be addressed, he seemed very pessimistic about the possibility of it, and many people in the room, I think, were asking themselves how introducing taxes etc. would affect the distributions.<br /> <br /> ===Other remarks===<br /> Some people may be interested in the http://decoi.collectivae.net/ Design Of Collective Intelligence series - those are 1 week long versions of what SFI is trying to do, but mainly focused at multi agent systems.<br /> <br /> Also interesting, and this is even a longer shot, is http://www.nextgenerationinfrastructures.eu/academy if you are interested in (physical) networks and infrastructures.<br /> <br /> <br /> Here is an article about the spread of contagion in a social network written for a general audience, as an example of science journalism:<br /> <br /> "Infectious Personalities", The Economist, May 13, 2010. http://www.economist.com/node/16103882<br /> <br /> AS<br /> <br /> ==Wednesday June 9==<br /> <br /> Today was a sad day for Dutch politics. [[User:Ligtvoet|Ligtvoet]]<br /> <br /> <br /> <br /> <b> Thank you Paige and Coco. </b> [[Samuel_Scarpino|Samuel_Scarpino]]<br /> <p> Great Kerouacish moment. Thanks hairy thighs! [[Giovanni Petri]] </p><br /> <br /> ([[jp]]) Man, I don't know what went on last night...<br /> <br /> <br /> <br /> <br /> <br /> ===Ingrid van Putten<br>===<br /> Lots can be said about the visual art - but the bar has definitely been raised by mathmeticians and computer geeks over the past two days at SFI. Not only did we have buildings tumbling down or having fish swim out of them at the Santa Fe Complex last night, but today liz completely outdid the lot by making music and then ... dance. Those performances should make maths, physics, and computer science interesting to anyone!<br /> <br /> ===Thomas Maillart===<br /> This morning Peter told about network attack tolerance. The results obtained by Albert et al. Nature (2000) for scale-free networks are a direct consequence of the "robust yet fragile" (also called HOT - Highly Optimized Tolerance) concept first coined by Carlson et al. Physical Review Letters also in 2000. However, Newman et al. criticized the HOT model (in Physical Review Letters, 2002), arguing that while "optimized", scale-free systems, the optimization process should occur at some costs. Thus, they introduced the COLD model ("constrained optimization with limited deviations"), by adding a cost to optimization (i.e. preventing the formation of scale-free systems). Under these conditions, the tolerance to attacks should be improved. The interesting point behind the message, is that there is an intrinsic trade-off between optimization and risks, i.e. optimized systems are prone to suffer more extreme damage (heavy-tailed distribution of damage).<br /> <br /> On the same topic, Doyle et al. (PNAS 2005) argued that the model by Albert et al. (Nature 2000) does not hold for the Internet because the most connected nodes are not in the core of the Internet, which is typically low connected. The main point of this article is to point the importance of looking at the mesoscopic structure of real networks, and not only their degree distribution or general purpose metrics.<br /> <br /> ===Vessela Daskalova===<br /> <br /> Some thoughts inspired by Tanmoy Bhattacharya's lecture on inference in historical processes and by Tom Carter's modeling workshop:<br /> <br /> They both tackled two classical questions regarding the methodology used in different fields.<br /> <br /> 1) Are we trying to explain past observations or are we trying to predict future events? And how do models in different fields reflect this goal?<br /> <br /> 2) Do we want to build in what we already "know" in models we are building/ regressions we are running?<br /> <br /> Obviously, people from different fields will answer these questions differently. It would be cool if at least one person from each field wrote about what is accepted in their area.<br /> <br /> Here one point of view from economics:<br /> <br /> on 1) In contrast to historians, who try to give a good explanation of what happened in the past and why, economists try to make some predictions regarding the future. Therefore, models/regressions in economics include fewer variables than models/regressions in history and political science. Tanmoy Bhattacharya argued in favor of including many explanatory variables when using maximum likelihood for historical inference. However, if the goal was prediction rather than inference, the number of explanatory variables would have to be reduced to avoid introducing a lot of past noise in the predictions.<br /> <br /> on 2) In the social sciences (especially economics) there is a tendency to build in some assumptions of what matters in your model. This seems useful (at least to me) as many of the phenomena we are analyzing are a result of social interaction, there is a large degree of randomness in the environment and unless we use our a priori knowledge (as Tanmoy Bhattacharya argued yesterday), we cannot expect to come up with some deterministic equation that accounts for social phenomena.<br /> <br /> Coming back to prediction in economic models, let me end with a popular economics joke:<br /> "Why do meteorologists make weather forecasts?"<br /> "To make economic forecasts look good."<br /> Just to clarify, this is not meant as an insult to meteorologists, but as self-irony:)<br /> <br /> ===Kasia Samson===<br><br /> <br /> <br /> ===Borys Wrobel===<br /> It is really too bad that Peter Dodds did not have the time to present his last lecture, I was really interested in hearing it. I feel this was the cost of the historical perspective (his first lecture)... Santa Fe Complex sure was fun, it sure seemed a geek paradise. It was great to see the American culture of innovation at its best... But it sure was a grueling day, having to get up earlier than on the other days, running to the buses, going from one place to another. Not enough time to explore the SFI (and its library) really, hopefully it will be possible next Wed... It is amazing that so many people decided to stay late at night and walk back to St John's...<br /> <br /> ==Thursday June 10==<br /> ===Chaitanya Gokhale<br>===<br /> "The trick about life is to make it look simple."<br /> <br /> It would seem quite ironic if I say this at a “complex” systems summer school, but the more I get immersed in the subject the more I think that it is relevant statement.<br /> I mostly apply nonlinear dynamics to develop mathematical models of biological system and apply evolutionary game theory to biologically, socially relevant concepts. Please note that both of these is not data driven to begin with.<br /> <br /> Oxford Dictionary defines “model” as follows (model in the context as we use it),<br /> <br /> ...3 something used as an example. 4 a simplified mathematical description of a system or process, used to assist calculations and predictions. 5 an excellent example of a quality....<br /> <br /> A model is not the actual system.<br /> Tom Carter gave an amazing demonstration of that fact. The models he was discussing were not of as much importance as the message he was trying to put across. We do not need complex models to understand complex systems, rather simple models is what we should be aiming for because the goal is not to replicate the complexity but to understand it in simpler terms.<br /> The same thing was iterated by Owen Densmore at the SF Complex and saying that what they are doing is complex would be the biggest understatement.<br /> Today again Jure just amazingly deflated the whole network complexity into a simple 2 \times 2 matrix confirming the idea ever more.<br /> <br /> Any fool can make things bigger, more complex and more violent. It takes a touch of genius and a lot of courage to move in the opposite direction<br /> --Albert Einstein<br /> <br /> On a different note, I loved Liz Bradley’s lectures. Though I have been using the methods for quite a while now, I had never seen such a crystal clear overview of nonlinear dynamics before.<br /> <br /> ===Jing Li<br>===<br /> When Google first topped the 100 best companies to work for, Fortune's comment was 'It's the kind of place where, yes, you're going to work but you also know you are going to have a fun time as well'. I would like to say exactly the same for CSSS 2010. <br /> <br /> What a beautiful day today! Liz's final presentation is as excellent as previous: science is not only interesting, but also COOL; Nathan is as impressive as his project at CSSS; Jure is so passionate about his research. Dan, your comment is the highlight of the presentation, as always.<br /> <br /> A friend of mine who was in CSSS 2009 wrote 'I hope your time at SFI is as wonderful for you as it was for me'. Yes, it is!<br /> <br /> Griff Rees<br><br /> <br /> Bradford Cross has a great [http://measuringmeasures.com/blog/2010/6/9/learning-about-network-theory.html post] on learning about network theory that everyone with an interest in networks will probably find useful. Look at it or bookmark it for later, it compliments our previous lectures well.<br /> <br /> The CSSS hash tag on twitter is #CSSS, the REU tag is #SFI.<br /> <br /> ===Bruno Abrahao<br>===<br /> <br /> One of the recurring themes in our lectures was power-laws in the degree distribution of complex networks. Since this feature was so prevalent across different networks, coming from many different domains, researchers started to create generative models that replicate this observation, with the goal of shedding insight on the root cause of this phenomenon. Some of the plausible explanations include preferential attachment, the copying model and others. <br /> <br /> In 2004, [http://conferences.sigcomm.org/sigcomm/2004/papers/p599-li.pdf Li-Alderson-Willinger-Doyle] made the point that observing a power-law does not give us any insight on the underlying phenomenon. They show that a large number of different networks, with dramatically different characteristics, exhibit the same power-law behavior with the same power-law exponent. The paper was very well received by the computer systems community (it received the best paper award in the top conference in the area, ACM SIGCOMM), but it seems to be often ignored by other communities. <br /> <br /> To make matters more complicated, [http://www.eecs.harvard.edu/~michaelm/postscripts/im2004a.pdf Mitzenmacher] made the point that it is virtually impossible to distinguish any generative process that exhibit power-law behavior from those that exhibit lognormal distribution.<br /> <br /> Can we conclude that power-law observations must be accompanied by some form of validation of the root cause of the phenomenon in order give us useful information on complex systems?<br /> <br /> === Anna Pechenkina<br>===<br /> <br /> Thanks, Bruno, for bringing this up! Networks are new to me, but the published findings of power laws in agent-based models is something that I've come across quite a bit. The question of model validation seems to lack a good answer (and expected practice, which is true at least in political science). If a model generates a power law distribution of some parameter of interest, normally, people do check for robustness of the finding. However, even when the model produces the power law across a large portion of the parameter space, this is no guarantee that the model is a good model of the phenomenon of interest (Tom Carter mentioned on Tues finite vs. infinite variance). The fact that there may be other ways to reach the same power law distribution calls for some sort of validation of the model's mechanism. I would like to hear what others believe a good example of "validation of the model's mechanism" can be (testing the model's *additional* implications against observational data? designing a test of whether the subjects use indeed the decision-making rule specified in the model? modeling different decision-making rules?) Cites of good examples are much appreciated!<br /> <br /> ==Friday June 11==<br /> Kang Zhao<br><br /> === Florian Sabou=== <br><br /> Roberta Sinatra<br><br /> Bogdan State<br><br /> <br /> ==(Saturday June 12)==<br /> ==(Sunday June 13)==<br /> <br /> ==Monday June 14==<br /> Andrew Hein<br><br /> Tracey McDole<br><br /> Sergey Melnik<br><br /> Erik Van den Broecke<br><br /> <br /> ==Tuesday June 15==<br /> Drew Levin<br><br /> Leif Karlstrom<br><br /> Mark Laidre<br><br /> Borys Wrobel<br><br /> ==Wednesday June 16==<br /> Joseph Gran<br><br /> Micael Ehn<br><br /> Damian Blasi<br><br /> Daniel Jones<br><br /> <br /> ==Thursday June 17==<br /> Yixian Song<br><br /> Sam Scarpino<br><br /> Giovanni Petri<br><br /> Michael Szell<br><br /> <br /> ==Friday June 18==<br /> Sandra Bennun<br><br /> Susanne Shultz<br><br /> Lynette Shaw<br><br /> Sarah Wise <br><br /> ==(Saturday June 19)==<br /> ==(Sunday June 20)==<br /> <br /> <br /> ==Monday June 21==<br /> Dan MacKinlay<br><br /> Megan Olsen<br><br /> Vanessa Weinberger<br><br /> Jonathan Cannon<br><br /> <br /> ==Tuesday June 22==<br /> Erika Legara<br><br /> Gavin Fay<br><br /> Bruno Abrahao<br><br /> Zhiyuan Song<br><br /> <br /> ==Wednesday June 23==<br /> Julie Granka<br><br /> Nick Foti<br><br /> Felix Hol<br><br /> Oana Carja<br><br /> ==Thursday June 24==<br /> <br /> <br /> <br /> ==Friday June 25==</div>

Fsabou https://wiki.santafe.edu/index.php?title=Bandelier_Trip_2010&diff=36721 Bandelier Trip 2010 2010-06-11T05:51:18Z

<p>Fsabou: /* Still Need Rides */</p> <hr /> <div>Please sign up here so we know who's going.<br><br /> Also: If you have a car, please let us know. The more cars, the more people.<br><br /> <br /> We'll meet at 10:00am in the parking circle.<br /> <br /> Please remember to bring a hat, sunscreen, water, hiking shoes, and anything else you'll need for a day out in the field.<br /> <br /> ==Cars:==<br /> <br /> ===John Paul's Camry: 4 (maybe 5) seats===<br /> <br /> 1. [[John Paul]]<br><br /> 2. [[Sarah Wise]]<br><br /> 3. [[Micael Ehn]] <br> <br /> 4. [[User:Ligtvoet|Andreas]]<br /> <br /> ===Tom's Sedan: 4 seats===<br /> 1. [[Tom Carter]]<br><br /> 2. [[Kang Zhao]]<br><br /> 3. [[Yixian Song]]<br><br /> 4. [[Borys Wrobel]]<br /> <br /> ===Joe's Corolla: 4 seats===<br /> 1. [[Joe Gran]]<br /> <br /> 2. [[Roberta Sinatra]]<br /> <br /> 3. [[Michael Szell]]<br /> <br /> 4. [[Chaitanya Gokhale]]<br /> <br /> ===Andrew's SUV (5 seats)===<br /> 1. [[Andrew Banooni]]<br><br /> 2. [[Zhiyuan Song]]<br><br /> 3. [[Anna Pechenkina]]<br><br /> 4. [[Ana Hocevar]]<br><br /> 5. [[Erika Fille Legara]]<br /> <br /> ==Still Need Rides==<br /> 1. [[Florian Sabou]]<br></div>

Fsabou https://wiki.santafe.edu/index.php?title=Bandelier_Trip_2010&diff=36718 Bandelier Trip 2010 2010-06-11T05:48:34Z

<p>Fsabou: /* Still Need Rides */</p> <hr /> <div>Please sign up here so we know who's going.<br><br /> Also: If you have a car, please let us know. The more cars, the more people.<br><br /> <br /> We'll meet at 10:00am in the parking circle.<br /> <br /> Please remember to bring a hat, sunscreen, water, hiking shoes, and anything else you'll need for a day out in the field.<br /> <br /> ==Cars:==<br /> <br /> ===John Paul's Camry: 4 (maybe 5) seats===<br /> <br /> 1. [[John Paul]]<br><br /> 2. [[Sarah Wise]]<br><br /> 3. [[Micael Ehn]] <br> <br /> 4. [[User:Ligtvoet|Andreas]]<br /> <br /> ===Tom's Sedan: 4 seats===<br /> 1. [[Tom Carter]]<br><br /> 2. [[Kang Zhao]]<br><br /> 3. [[Yixian Song]]<br><br /> 4. [[Borys Wrobel]]<br /> <br /> ===Joe's Corolla: 4 seats===<br /> 1. [[Joe Gran]]<br /> <br /> 2. [[Roberta Sinatra]]<br /> <br /> 3. [[Michael Szell]]<br /> <br /> 4. [[Chaitanya Gokhale]]<br /> <br /> ===Andrew's SUV (5 seats)===<br /> 1. [[Andrew Banooni]]<br><br /> 2. [[Zhiyuan Song]]<br><br /> 3. [[Anna Pechenkina]]<br><br /> 4. [[Ana Hocevar]]<br><br /> 5. [[Erika Fille Legara]]<br /> <br /> ==Still Need Rides==<br /> 1. Florian Sabou</div>

Fsabou https://wiki.santafe.edu/index.php?title=Florian_Sabou&diff=35736 Florian Sabou 2010-05-15T04:58:16Z

<p>Fsabou: </p> <hr /> <div>[[image: Fsabou.jpg|220px|thumb|left|]] <br /> <br /> I am currently a PhD student in Physics at Brown University. I have a JD from Babes-Bolyai University Law School, Cluj-Napoca, Romania, and a BS in Physics from the same university.<br /> <br /> ==Main Interests==<br /> My research interests include strongly correlated systems, looking for rectification effects in Mott insulators-like junction, queue theory and Markov processes as applied to logic devices modeling and the Hopf-flow approach for statistical analysis of geophysical fluid dynamics.<br /> <br /> ==Expertise==<br /> Realiability analysis in logic devices, optics design, parallel/ high performance computing in MPI, openCL, CUDA, posix/pthreads. I prefer C or C++ but I program in other languages as well. Physics. European law.<br /> <br /> ==Expectations==<br /> I am looking forward to learning more about complex systems and meet new people. <br /> <br /> ==Projects==</div>

Fsabou https://wiki.santafe.edu/index.php?title=Florian_Sabou&diff=35735 Florian Sabou 2010-05-15T04:54:34Z

<p>Fsabou: </p> <hr /> <div>[[image: Fsabou.jpg|220px|thumb|left|]] <br /> <br /> I am currently a PhD student in Physics at Brown University. I have a JD from Babes-Bolyai University Law School, Cluj-Napoca, Romania, and a BS in Physics from the same university.<br /> <br /> ==Main Interests==<br /> My research interests include strongly correlated systems, looking for rectification effects in Mott insulators-like junction, and the Hopf-flow approach for statistical analysis of geophysical fluid dynamics.<br /> <br /> ==Expertise==<br /> Realiability analysis in logic devices, optics design, parallel/ high performance computing in MPI, openCL, CUDA, posix/pthreads. I prefer C or C++ but I program in other languages as well. Physics. European law.<br /> <br /> ==Expectations==<br /> I am looking forward to learning more about complex systems and meet new people. <br /> <br /> ==Projects==</div>

Fsabou https://wiki.santafe.edu/index.php?title=Florian_Sabou&diff=35734 Florian Sabou 2010-05-15T04:53:38Z

<p>Fsabou: </p> <hr /> <div>[[image: Fsabou.jpg|220px|thumb|left|]] <br /> <br /> I am currently a PhD student in Physics at Brown University. I have a JD from Babes-Bolyai University Law School, Cluj-Napoca, Romania, and a BS in Physics from the same university.<br /> <br /> ==Main Interests==<br /> My research interests include strongly correlated systems, looking for rectification effects in Mott insulators-like junction, and the Hopf-flow approach for statistical analysis of geophysical fluid dynamics.<br /> <br /> ==Expertise==<br /> Realiability analysis in logic devices, optics design and ray tracing software, parallel/ high performance computing in MPI, openCL, CUDA, posix/pthreads. I prefer C or C++ but I program in other languages as well. European law.<br /> <br /> ==Expectations==<br /> I am looking forward to learning more about complex systems and meet new people. <br /> <br /> ==Projects==</div>

Fsabou https://wiki.santafe.edu/index.php?title=Florian_Sabou&diff=35733 Florian Sabou 2010-05-15T04:46:14Z

<p>Fsabou: </p> <hr /> <div>[[image: Fsabou.jpg|220px|thumb|left|]] <br /> <br /> I am currently a PhD student in Physics at Brown University. I have a JD from Babes-Bolyai University Law School, Cluj-Napoca, Romania, and a BS in Physics from the same university.<br /> <br /> ==Main Interests==<br /> My research interests include strongly correlated systems, looking for rectification effects in Mott insulators-like junction, and the Hopf-flow approach for statistical analysis of geophysical fluid dynamics.<br /> <br /> ==Expertise==<br /> Realibility analysis in logic devices, optics design, parallel/ high performance computing in MPI, openCL, CUDA, posix/pthreads, C++ and Python. European law.<br /> <br /> ==Expectations==<br /> I am looking forward to learning more about complex systems and meet new people. <br /> <br /> ==Projects==</div>

Fsabou https://wiki.santafe.edu/index.php?title=Florian_Sabou&diff=35732 Florian Sabou 2010-05-15T04:45:28Z

<p>Fsabou: </p> <hr /> <div>[[image: Fsabou.jpg|220px|thumb|left|]] <br /> <br /> I am currently a PhD student in Physics at Brown University. I also have a JD from Babes-Bolyai University Law School, Cluj-Napoca, Romania, and a BS in Physics from the same university.<br /> <br /> ==Main Interests==<br /> My research interests include strongly correlated systems, looking for rectification effects in Mott insulators-like junction, and the Hopf-flow approach for statistical analysis of geophysical fluid dynamics.<br /> <br /> ==Expertise==<br /> Realibility analysis in logic devices, optics design, parallel/ high performance computing in MPI, openCL, CUDA, posix/pthreads, C++ and Python. European law.<br /> <br /> ==Expectations==<br /> I am looking forward to learning more about complex systems and meet new people. <br /> <br /> ==Projects==</div>

Fsabou https://wiki.santafe.edu/index.php?title=Florian_Sabou&diff=35731 Florian Sabou 2010-05-15T04:44:26Z

<p>Fsabou: </p> <hr /> <div>[[image: Fsabou.jpg|220px|thumb|left|]] <br /> <br /> I am currently a PhD student in Physics at Brown University. I also have a JD from Babes-Bolyai University Law School, Cluj-Napoca, Romania, and a BS in Physics from the same university.<br /> <br /> ==Main Interests==<br /> My research interests include strongly correlated systems, looking for rectification effects in Mott insulators-like junction, and the Hopf-flow approach for statistical analysis of geophysical fluid dynamics.<br /> <br /> ==Expertise==<br /> European law, realibility analysis in logic devices, optics design, parallel/ high performance computing in MPI, openCL, CUDA, posix/pthreads, C++ and Python. <br /> <br /> ==Expectations==<br /> I am looking forward to learning more about complex systems and meet new people. <br /> <br /> ==Projects==</div>

Fsabou https://wiki.santafe.edu/index.php?title=Florian_Sabou&diff=35730 Florian Sabou 2010-05-15T04:43:31Z

<p>Fsabou: </p> <hr /> <div>[[image: Fsabou.jpg|220px|thumb|left|]] <br /> <br /> I am currently a PhD student in Physics at Brown University. I also have a JD from Babes-Bolyai University Law School, Cluj-Napoca, Romania, and a BS in Physics from the same university.<br /> <br /> ==Main Interests==<br /> My research interests include strongly correlated systems, looking for rectification effects in Mott insulators-like junction, and the Hopf-flow approach for statistical analysis of geophysical fluid dynamics.<br /> <br /> ==Expertise==<br /> Realibility analysis in logic devices, optics design, parallel/ high performance computing in MPI, openCL, CUDA, posix/pthreads, C++ and Python. <br /> <br /> ==Expectations==<br /> I am looking forward to learning more about complex systems and meet new people. <br /> <br /> ==Projects==</div>

Fsabou https://wiki.santafe.edu/index.php?title=Florian_Sabou&diff=35729 Florian Sabou 2010-05-15T04:41:45Z

<p>Fsabou: </p> <hr /> <div>[[image: Fsabou.jpg|220px|thumb|left|]] <br /> <br /> I am currently a PhD student in Physics at Brown University. I also have a JD from Babes-Bolyai University Law School, Cluj-Napoca, Romania, and a BS in Physics from the same university.<br /> <br /> ==Main Interests==<br /> My research interests include strongly correlated systems, looking for rectification effects in Mott insulators-like junction, and the Hopf-flow approach for statistical analysis of geophysical fluid dynamics.<br /> <br /> ==Expertise==<br /> Realibility analysis in logic devices, optics design, parallel/ high performance computing MPI, openCL, CUDA, posix/pthreads. <br /> <br /> ==Expectations==<br /> I am looking forward to learning more about complex systems and meet new people. <br /> <br /> ==Projects==</div>

Fsabou https://wiki.santafe.edu/index.php?title=Florian_Sabou&diff=35728 Florian Sabou 2010-05-15T04:41:03Z

<p>Fsabou: </p> <hr /> <div>[[image: Fsabou.jpg|220px|thumb|left|]] <br /> <br /> I am currently a PhD student in Physics at Brown University. I also have a JD from Babes-Bolyai University Law School, Cluj-Napoca, Romania, and a BS in Physics from the same university.<br /> <br /> My research interests include strongly correlated systems, looking for rectification effects in Mott insulators-like junction, and the Hopf-flow approach for statistical analysis of geophysical fluid dynamics.<br /> <br /> ==Main Interests==<br /> <br /> <br /> ==Expertise==<br /> Realibility analysis in logic devices, optics design, parallel/ high performance computing MPI, openCL, CUDA, posix/pthreads. <br /> <br /> ==Expectations==<br /> I am looking forward to learning more about complex systems and meet new people. <br /> <br /> ==Projects==</div>

Fsabou https://wiki.santafe.edu/index.php?title=Florian_Sabou&diff=35727 Florian Sabou 2010-05-15T04:33:08Z

<p>Fsabou: </p> <hr /> <div><br /> [[image: Fsabou.jpg|220px|thumb|left|]] <br /> <br /> I am currently a PhD student in Physics at Brown University. I also have a JD from Babes-Bolyai University Law School, Cluj-Napoca, Romania, and a BS in Physics from the same university.<br /> <br /> My research interests include strongly correlated systems, looking for rectification effects in Mott insulators-like junction, and the Hopf-flow approach for statistical analysis of geophysical fluid dynamics.<br /> <br /> <br /> email: cosmin UNDERSCORE sabou AT yahoo DOT com</div>

Fsabou https://wiki.santafe.edu/index.php?title=Florian_Sabou&diff=35726 Florian Sabou 2010-05-15T04:32:36Z

<p>Fsabou: </p> <hr /> <div><br /> [[image: Fsabou.jpg|200px|thumb|left|]] <br /> I am currently a PhD student in Physics at Brown University. I also have a JD from Babes-Bolyai University Law School, Cluj-Napoca, Romania, and a BS in Physics from the same university.<br /> <br /> My research interests include strongly correlated systems, looking for rectification effects in Mott insulators-like junction, and the Hopf-flow approach for statistical analysis of geophysical fluid dynamics.<br /> <br /> <br /> email: cosmin UNDERSCORE sabou AT yahoo DOT com</div>

Fsabou https://wiki.santafe.edu/index.php?title=Florian_Sabou&diff=35725 Florian Sabou 2010-05-15T04:31:48Z

<p>Fsabou: </p> <hr /> <div><br /> [[image: Fsabou.jpg]] <br /> I am currently a PhD student in Physics at Brown University. I also have a JD from Babes-Bolyai University Law School, Cluj-Napoca, Romania, and a BS in Physics from the same university.<br /> <br /> My research interests include strongly correlated systems, looking for rectification effects in Mott insulators-like junction, and the Hopf-flow approach for statistical analysis of geophysical fluid dynamics.<br /> <br /> <br /> email: cosmin UNDERSCORE sabou AT yahoo DOT com</div>

Fsabou https://wiki.santafe.edu/index.php?title=Florian_Sabou&diff=35724 Florian Sabou 2010-05-15T04:30:52Z

<p>Fsabou: </p> <hr /> <div><br /> [[Fsabou.jpg]] <br /> I am currently a PhD student in Physics at Brown University. I also have a JD from Babes-Bolyai University Law School, Cluj-Napoca, Romania, and a BS in Physics from the same university.<br /> <br /> My research interests include strongly correlated systems, looking for rectification effects in Mott insulators-like junction, and the Hopf-flow approach for statistical analysis of geophysical fluid dynamics.<br /> <br /> <br /> email: cosmin UNDERSCORE sabou AT yahoo DOT com</div>

Fsabou https://wiki.santafe.edu/index.php?title=Florian_Sabou&diff=35723 Florian Sabou 2010-05-15T04:28:58Z

<p>Fsabou: </p> <hr /> <div><br /> <br /> [[Fsabou.jpg|200px|thumb|left|alt text]] <br /> I am currently a PhD student in Physics at Brown University. I also have a JD from Babes-Bolyai University Law School, Cluj-Napoca, Romania, and a BS in Physics from the same university.<br /> <br /> My research interests include strongly correlated systems, looking for rectification effects in Mott insulators-like junction, and the Hopf-flow approach for statistical analysis of geophysical fluid dynamics.<br /> <br /> <br /> email: cosmin UNDERSCORE sabou AT yahoo DOT com</div>

Fsabou https://wiki.santafe.edu/index.php?title=File:Fsabou.jpg&diff=35722 File:Fsabou.jpg 2010-05-15T04:27:34Z

<p>Fsabou: photo</p> <hr /> <div>photo</div>

Fsabou https://wiki.santafe.edu/index.php?title=Florian_Sabou&diff=35719 Florian Sabou 2010-05-14T23:30:01Z

<p>Fsabou: </p> <hr /> <div>I am currently a PhD student in Physics at Brown University. I also have a JD from Babes-Bolyai University Law School, Cluj-Napoca, Romania, and a BS in Physics from the same university.<br /> <br /> My research interests include strongly correlated systems, looking for rectification effects in Mott insulators-like junction, and the Hopf-flow approach for statistical analysis of geophysical fluid dynamics.<br /> <br /> <br /> email: cosmin UNDERSCORE sabou AT yahoo DOT com</div>

Fsabou https://wiki.santafe.edu/index.php?title=Florian_Sabou&diff=35718 Florian Sabou 2010-05-14T23:29:06Z

<p>Fsabou: </p> <hr /> <div>I am currently a PhD student in Physics at Brown University. I also have a JD from Babes-Bolyai University Law School, Cluj-Napoca, Romania, and a BS in Physics from the same university.<br /> <br /> My research interests include strongly correlated systems, looking for rectification effects in Mott insulators-like junction, and a Hopf-flow approach for the statistical analysis of geophysical fluid dynamics.<br /> <br /> <br /> email: cosmin UNDERSCORE sabou AT yahoo DOT com</div>

Fsabou https://wiki.santafe.edu/index.php?title=Florian_Sabou&diff=35717 Florian Sabou 2010-05-14T23:23:48Z

<p>Fsabou: </p> <hr /> <div>I am currently a PhD student in Physics at Brown University. I also have a JD from Babes-Bolyai University Law School, Cluj-Napoca, Romania, and a BS in Physics the same university.<br /> <br /> <br /> email: cosmin UNDERSCORE sabou AT yahoo DOT com</div>

Fsabou https://wiki.santafe.edu/index.php?title=Florian_Sabou&diff=35716 Florian Sabou 2010-05-14T23:21:27Z

<p>Fsabou: </p> <hr /> <div>I am currently a PhD student in Physics at Brown University. I also have a JD from Babes-Bolyai University Law School, Cluj-Napoca, Romania, and a BS in Physics the same university.<br /> <br /> <br /> email: cosmin_savou AT yahoo DOT com</div>

Fsabou https://wiki.santafe.edu/index.php?title=Florian_Sabou&diff=35715 Florian Sabou 2010-05-14T23:14:25Z

<p>Fsabou: </p> <hr /> <div>I am currently a PhD student in Physics at Brown University. I also have a JD from Babes-Bolyai University Law School, Cluj-Napoca, Romania, and a BS in Physics the same university.</div>

Fsabou https://wiki.santafe.edu/index.php?title=Florian_Sabou&diff=35714 Florian Sabou 2010-05-14T23:07:22Z

<p>Fsabou: </p> <hr /> <div>I am a PhD student in Physics at Brown University.</div>

Fsabou https://wiki.santafe.edu/index.php?title=Florian_Sabou&diff=35713 Florian Sabou 2010-05-14T23:06:03Z

<p>Fsabou: New page: Brown University</p> <hr /> <div>Brown University</div>

Fsabou