Santa Fe Institute Events Wiki - User contributions [en]

Complex Systems Summer School 2012-Project Presentations

2012-06-26T22:56:32Z

LongoMark:

{{Complex Systems Summer School 2012}}

Use this space to post project presentations and outlines. Include group members, a brief outline, and your slides.

=== Price-time Dynamics of Contracts Traded on Prediction Markets ===

Joanne, Vikram, Matteo, Sanith

Prediction markets have been shown to outperform traditional methods of polls and opinion surveys in forecasting future events. The futures contracts traded in these markets assess the expectation of occurrence of a variety of events spread across multiple domains (political, economic, entertainment, financial and weather). We explore the feasibility of 'predicting' the outcome of binary true/false prediction market contracts ahead of their expiry date using a neural-network based machine learning approach. In addition we focus on the characteristics of political-based contracts to establish whether they exhibit characteristic 'fundamental' properties.

=== How Complex Languages Replicate through Simple Brains ===

Katrien, Vanessa, Sandro, Cameron, Jasmeen

Through the use of an iterated learning experiment, we investigated the transmission of a "high entropy", randomised initial language through successive generations of participants. We want to see what features of the language replicated most easily, and what structure emerged by the end of the chain. Our hypothesis is that the language converges to a "low entropy" equilibrium state with a minimal number of words, morphemes, and form-meaning distinctions.

=== Collaboration in times of stress: an Agent Based Modelling approach ===

Fabio Cresto Aleina, Elena del Val, Tom Fennewald and Friederike Greb

We want to investigate the influence of exogenous stress on cooperative behaviour. We propose an agent based model in which the agents can be interpreted as farmers living in a water limited environment. With changes in precipitation patterns, the farmers undergo stress, and we observe how this impacts relationships among farmers and their properties.

=== Simple variation of the logistic map as a model to invoke questions on cellular protein trafficking ===
(Sepehr Ehsani, http://arxiv.org/abs/1206.5557)

Many open problems in biology, as in the physical sciences, display nonlinear and 'chaotic' dynamics, which, to the extent possible, cannot be reasonably understood. Moreover, mathematical models which aim to predict/estimate unknown aspects of a biological system cannot provide more information about the set of biologically meaningful (e.g., 'hidden') states of the system than could be understood by the designer of the model ab initio. Here, the case is made for the utilization of such models to shift from a 'predictive' to a 'questioning' nature, and a simple natural-logarithm variation of the logistic polynomial map is presented that can invoke questions about protein trafficking in eukaryotic cells.

===Changes in Social Network Structure in Response to Crisis: Using Twitter data to Explore the Effect of the Tōhoku Earthquake.===

Christa Brelsford and Xin Lu

Abstract:
We use twitter data from 7 days before and after the Tōhoku Earthquake to explore how cooperation rates, social network structure and connectivity, and social network vulnerability changed in Japan in response to the disaster. An English language data set is collected for the same time period to use as a control. Data is collected for a period of 96 hours starting from March 4th 2011 2:46pm JST and for 96 hours beginning March 11th 2011 2:46 pm JST. The rate of cooperative behavior, measured by the occurrence of helping words in tweets increases slightly in the English dataset and by an order of magnitude in the Japanese dataset. A network analysis is also performed. Network edges are retweets and direct messages. In future work, we hope to explore whether problem solving capacity in a social system changes in response to crises, based on changes in the rate of cooperation and information transfer in a network.

=== The CSSS Network ===

Tom & Riccardo (with JP and others)

We will investigate the questions you are dying to know: What interesting interactions are revealed from the first 3 weeks of the Complex System Summer School survey? Have barriers between academic disciplines been broken down? Do power laws fit the data!? ...

Let us know if you have specific questions or if you would like to be involved in data analysis!

=== Is there a method in the madness? the dynamic structures of human language use ===

Priya and Riccardo

Psychiatric anecdotal reports point to the monotony, lack of emotion and sometimes intelligibility in many clinical populations. Linear measures of fluency and prosody, however, present only controversial differences between patients and healthy controls and only in unnatural phonations (i.e. say "aaaaa" for 30 secs).
We therefore go complex and chaotic on a set of more ecological recordings and transcriptions from 4 clinical populations (Asperger's, Schizophrenics, Depressed and Right Hemisphere Damage patients) as well as from healthy controls.
We then set a classifier-driven race: will non-linear analyses outcompete linear analyses in discriminating between pathologies?

=== Escaping the Poverty Trap: Modeling the Interplay Between Economic Growth and the Ecology of Infectious Disease ===

Georg, Ben, Laurent, Oscar

The dynamics of economies and infectious disease are inexorably linked: economic well-being influences health (sanitation, nutrition, etc) and health influences economic well-being (labor productivity lost to sickness and disease). Often societies are locked into "poverty traps" of poor health and poor economy. Here, we demonstrate poverty traps formed in models of infection and endogenous growth, as well as ways to break out of poverty traps. We explore two mechanisms of escape: one, through an influx of capital, and another through changing the percentage of GDP spent on healthcare. We find large influxes of capital is successful, but increasing health spending does not. Our results have important policy implications in the distribution of aid and within-country healthcare spending.

=== The Targeting and Timing of Treatment Influences the Emergence of Influenza Resistance in Structured Populations ===

Ben, Laurent, Oscar, Georg

=== Learning in Random Boolean Networks ===

Nick A., Keegan, Matteo, Vikram, Sarah, Mark

Inspired by biochemical networks which adapt on evolutionary timescales, neural networks that adapt during development and learning, and universal computation in cellular automata, we have implemented several models of learning in Random Boolean Networks (RBNs) in order to better understand the relationships between network structure, node interaction rules, and network output.

Complex Systems Summer School 2012-Project Presentations

2012-06-26T22:55:36Z

LongoMark: /* =Learning in Random Boolean Networks */

{{Complex Systems Summer School 2012}}

Use this space to post project presentations and outlines. Include group members, a brief outline, and your slides.

=== Price-time Dynamics of Contracts Traded on Prediction Markets ===

Joanne, Vikram, Matteo, Sanith

Prediction markets have been shown to outperform traditional methods of polls and opinion surveys in forecasting future events. The futures contracts traded in these markets assess the expectation of occurrence of a variety of events spread across multiple domains (political, economic, entertainment, financial and weather). We explore the feasibility of 'predicting' the outcome of binary true/false prediction market contracts ahead of their expiry date using a neural-network based machine learning approach. In addition we focus on the characteristics of political-based contracts to establish whether they exhibit characteristic 'fundamental' properties.

=== How Complex Languages Replicate through Simple Brains ===

Katrien, Vanessa, Sandro, Cameron, Jasmeen

Through the use of an iterated learning experiment, we investigated the transmission of a "high entropy", randomised initial language through successive generations of participants. We want to see what features of the language replicated most easily, and what structure emerged by the end of the chain. Our hypothesis is that the language converges to a "low entropy" equilibrium state with a minimal number of words, morphemes, and form-meaning distinctions.

=== Collaboration in times of stress: an Agent Based Modelling approach ===

Fabio Cresto Aleina, Elena del Val, Tom Fennewald and Friederike Greb

We want to investigate the influence of exogenous stress on cooperative behaviour. We propose an agent based model in which the agents can be interpreted as farmers living in a water limited environment. With changes in precipitation patterns, the farmers undergo stress, and we observe how this impacts relationships among farmers and their properties.

=== Simple variation of the logistic map as a model to invoke questions on cellular protein trafficking ===
(Sepehr Ehsani, http://arxiv.org/abs/1206.5557)

Many open problems in biology, as in the physical sciences, display nonlinear and 'chaotic' dynamics, which, to the extent possible, cannot be reasonably understood. Moreover, mathematical models which aim to predict/estimate unknown aspects of a biological system cannot provide more information about the set of biologically meaningful (e.g., 'hidden') states of the system than could be understood by the designer of the model ab initio. Here, the case is made for the utilization of such models to shift from a 'predictive' to a 'questioning' nature, and a simple natural-logarithm variation of the logistic polynomial map is presented that can invoke questions about protein trafficking in eukaryotic cells.

===Changes in Social Network Structure in Response to Crisis: Using Twitter data to Explore the Effect of the Tōhoku Earthquake.===

Christa Brelsford and Xin Lu

Abstract:
We use twitter data from 7 days before and after the Tōhoku Earthquake to explore how cooperation rates, social network structure and connectivity, and social network vulnerability changed in Japan in response to the disaster. An English language data set is collected for the same time period to use as a control. Data is collected for a period of 96 hours starting from March 4th 2011 2:46pm JST and for 96 hours beginning March 11th 2011 2:46 pm JST. The rate of cooperative behavior, measured by the occurrence of helping words in tweets increases slightly in the English dataset and by an order of magnitude in the Japanese dataset. A network analysis is also performed. Network edges are retweets and direct messages. In future work, we hope to explore whether problem solving capacity in a social system changes in response to crises, based on changes in the rate of cooperation and information transfer in a network.

=== The CSSS Network ===

Tom & Riccardo (with JP and others)

We will investigate the questions you are dying to know: What interesting interactions are revealed from the first 3 weeks of the Complex System Summer School survey? Have barriers between academic disciplines been broken down? Do power laws fit the data!? ...

Let us know if you have specific questions or if you would like to be involved in data analysis!

=== Is there a method in the madness? the dynamic structures of human language use ===

Priya and Riccardo

Psychiatric anecdotal reports point to the monotony, lack of emotion and sometimes intelligibility in many clinical populations. Linear measures of fluency and prosody, however, present only controversial differences between patients and healthy controls and only in unnatural phonations (i.e. say "aaaaa" for 30 secs).
We therefore go complex and chaotic on a set of more ecological recordings and transcriptions from 4 clinical populations (Asperger's, Schizophrenics, Depressed and Right Hemisphere Damage patients) as well as from healthy controls.
We then set a classifier-driven race: will non-linear analyses outcompete linear analyses in discriminating between pathologies?

=== Escaping the Poverty Trap: Modeling the Interplay Between Economic Growth and the Ecology of Infectious Disease ===

Georg, Ben, Laurent, Oscar

The dynamics of economies and infectious disease are inexorably linked: economic well-being influences health (sanitation, nutrition, etc) and health influences economic well-being (labor productivity lost to sickness and disease). Often societies are locked into "poverty traps" of poor health and poor economy. Here, we demonstrate poverty traps formed in models of infection and endogenous growth, as well as ways to break out of poverty traps. We explore two mechanisms of escape: one, through an influx of capital, and another through changing the percentage of GDP spent on healthcare. We find large influxes of capital is successful, but increasing health spending does not. Our results have important policy implications in the distribution of aid and within-country healthcare spending.

=== The Targeting and Timing of Treatment Influences the Emergence of Influenza Resistance in Structured Populations ==

Ben, Laurent, Oscar, Georg

==Learning in Random Boolean Networks==

Nick A., Keegan, Matteo, Vikram, Sarah, Mark

Inspired by biochemical networks which adapt on evolutionary timescales, neural networks that adapt during development and learning, and universal computation in cellular automata, we have implemented several models of learning in Random Boolean Networks (RBNs) in order to better understand the relationships between network structure, node interaction rules, and network output.

Complex Systems Summer School 2012-Project Presentations

2012-06-26T22:55:15Z

LongoMark:

{{Complex Systems Summer School 2012}}

Use this space to post project presentations and outlines. Include group members, a brief outline, and your slides.

=== Price-time Dynamics of Contracts Traded on Prediction Markets ===

Joanne, Vikram, Matteo, Sanith

Prediction markets have been shown to outperform traditional methods of polls and opinion surveys in forecasting future events. The futures contracts traded in these markets assess the expectation of occurrence of a variety of events spread across multiple domains (political, economic, entertainment, financial and weather). We explore the feasibility of 'predicting' the outcome of binary true/false prediction market contracts ahead of their expiry date using a neural-network based machine learning approach. In addition we focus on the characteristics of political-based contracts to establish whether they exhibit characteristic 'fundamental' properties.

=== How Complex Languages Replicate through Simple Brains ===

Katrien, Vanessa, Sandro, Cameron, Jasmeen

Through the use of an iterated learning experiment, we investigated the transmission of a "high entropy", randomised initial language through successive generations of participants. We want to see what features of the language replicated most easily, and what structure emerged by the end of the chain. Our hypothesis is that the language converges to a "low entropy" equilibrium state with a minimal number of words, morphemes, and form-meaning distinctions.

=== Collaboration in times of stress: an Agent Based Modelling approach ===

Fabio Cresto Aleina, Elena del Val, Tom Fennewald and Friederike Greb

We want to investigate the influence of exogenous stress on cooperative behaviour. We propose an agent based model in which the agents can be interpreted as farmers living in a water limited environment. With changes in precipitation patterns, the farmers undergo stress, and we observe how this impacts relationships among farmers and their properties.

=== Simple variation of the logistic map as a model to invoke questions on cellular protein trafficking ===
(Sepehr Ehsani, http://arxiv.org/abs/1206.5557)

Many open problems in biology, as in the physical sciences, display nonlinear and 'chaotic' dynamics, which, to the extent possible, cannot be reasonably understood. Moreover, mathematical models which aim to predict/estimate unknown aspects of a biological system cannot provide more information about the set of biologically meaningful (e.g., 'hidden') states of the system than could be understood by the designer of the model ab initio. Here, the case is made for the utilization of such models to shift from a 'predictive' to a 'questioning' nature, and a simple natural-logarithm variation of the logistic polynomial map is presented that can invoke questions about protein trafficking in eukaryotic cells.

===Changes in Social Network Structure in Response to Crisis: Using Twitter data to Explore the Effect of the Tōhoku Earthquake.===

Christa Brelsford and Xin Lu

Abstract:
We use twitter data from 7 days before and after the Tōhoku Earthquake to explore how cooperation rates, social network structure and connectivity, and social network vulnerability changed in Japan in response to the disaster. An English language data set is collected for the same time period to use as a control. Data is collected for a period of 96 hours starting from March 4th 2011 2:46pm JST and for 96 hours beginning March 11th 2011 2:46 pm JST. The rate of cooperative behavior, measured by the occurrence of helping words in tweets increases slightly in the English dataset and by an order of magnitude in the Japanese dataset. A network analysis is also performed. Network edges are retweets and direct messages. In future work, we hope to explore whether problem solving capacity in a social system changes in response to crises, based on changes in the rate of cooperation and information transfer in a network.

=== The CSSS Network ===

Tom & Riccardo (with JP and others)

We will investigate the questions you are dying to know: What interesting interactions are revealed from the first 3 weeks of the Complex System Summer School survey? Have barriers between academic disciplines been broken down? Do power laws fit the data!? ...

Let us know if you have specific questions or if you would like to be involved in data analysis!

=== Is there a method in the madness? the dynamic structures of human language use ===

Priya and Riccardo

Psychiatric anecdotal reports point to the monotony, lack of emotion and sometimes intelligibility in many clinical populations. Linear measures of fluency and prosody, however, present only controversial differences between patients and healthy controls and only in unnatural phonations (i.e. say "aaaaa" for 30 secs).
We therefore go complex and chaotic on a set of more ecological recordings and transcriptions from 4 clinical populations (Asperger's, Schizophrenics, Depressed and Right Hemisphere Damage patients) as well as from healthy controls.
We then set a classifier-driven race: will non-linear analyses outcompete linear analyses in discriminating between pathologies?

=== Escaping the Poverty Trap: Modeling the Interplay Between Economic Growth and the Ecology of Infectious Disease ===

Georg, Ben, Laurent, Oscar

The dynamics of economies and infectious disease are inexorably linked: economic well-being influences health (sanitation, nutrition, etc) and health influences economic well-being (labor productivity lost to sickness and disease). Often societies are locked into "poverty traps" of poor health and poor economy. Here, we demonstrate poverty traps formed in models of infection and endogenous growth, as well as ways to break out of poverty traps. We explore two mechanisms of escape: one, through an influx of capital, and another through changing the percentage of GDP spent on healthcare. We find large influxes of capital is successful, but increasing health spending does not. Our results have important policy implications in the distribution of aid and within-country healthcare spending.

=== The Targeting and Timing of Treatment Influences the Emergence of Influenza Resistance in Structured Populations ==

Ben, Laurent, Oscar, Georg

===Learning in Random Boolean Networks==

Nick A., Keegan, Matteo, Vikram, Sarah, Mark

Inspired by biochemical networks which adapt on evolutionary timescales, neural networks that adapt during development and learning, and universal computation in cellular automata, we have implemented several models of learning in Random Boolean Networks (RBNs) in order to better understand the relationships between network structure, node interaction rules, and network output.

Experiment sign-up

2012-06-19T16:48:50Z

LongoMark: /* Tuesday June 19 */

Hi! Please sign up for one slot below. The experiment will be held in the SENIOR Common Room (again) next to the great hall (YES, JP's office). Please arrive on time! Ta.

- Katrien, Vanessa, Sandro, Cameron & Jasmeen

==Monday June 18==

Morning Break:

10.20-10.30: Piotr X

10.30-10.40: Laurent X

Lunch Break:

12.05-12.15: Chloe X

'''12.15-12.25: Andres ???'''

12.25-12.35: Xue X

12.35-12.45: Oleksandr X

12.55-1.05: Nick A X

1.05-1.15: Fabio X

1.15-1.25: Priya X

Afternoon:

5.00-5.10: Matteo X

5.10-5.20: Abby X

5.20-5.30: Elena X

5.30-5.40: Riccardo X

5.40-5.50: [[JP]]! X

6.00-6.10: [[Xin]] X

6.10-6.20: Ian X

6.20-6.30: Keegan

6.30-6.40: Aleksandra

6.40-6.50: Tom X

6.50-7.00:Christa X

==Tuesday June 19==

Morning Break:

10.20-10.30: Vikram

10.30-10.40: Oscar

Lunch Break:

12.30-12.40: Gareth

12.40-12.50: Sanith

12.50-1.00: Nona

1.00-1.10: Ben

1.10-1.20: Sepehr

1.20-1.30: David P

Afternoon:

4.30-4.40: dan

4.40-4.50: Georg W.

4.50-5.00: Sander Bais

5.00-5.10: Aleksandra

5.10-5.20: Marque

5.20-5.30:

5.30-5.40:

5.40-5.50:

5.50-6.00:

6.00-6.10:

6.10-6.20:

6.20-6.30:

6.30-6.40:

6.40-6.50:

6.50-7.00:

Complex Systems Summer School 2012-After Hours

2012-06-18T21:32:36Z

LongoMark: /* Dancing */

{{Complex Systems Summer School 2012}}

Use this space to organize your own after hours activities.

==Some Banjo fun out on the town==

My brother will be having a concert this Saturday June 16 at the Second Street Brewery (original location) from 6-9p.m. I will be at the parking circle at 6p.m. For those who do not sign up for a car don't forget Friday and Saturday $5 cabs.

[http://www.secondstreetbrewery.com/2012/05/todd-the-fox-9/ Todd and the Fox Venue Details]

[http://www.toddandthefox.com/fr_home.cfm To hear their music]

If anyone would like to join:

Car 1: Juniper's Car 

1. Katrien (not sure if we'll be back from the lake trip by 6pm. Somebody can take my place if they want.) back up: Georg Weber

2. Marque

3. Sarah

4. Marco

==Dancing==

Swing dancing on Monday 18th June.
Lessons from 7 to 8 P.M.
Dancing from 8 on wards.
The cost is $8 including the lesson and dancing (or $3 for the dancing). Venue: Odd Fellows Hall, 1125 Cerrillos Road.
Sign up below if you are interested:

1.Vikram -- Slightly biased towards taking the lesson. 
2. Xue -- dancing, though not a strong preference. 
3. Mark - I could use a lesson, or twelve. Do we have transportation? 
4.

PS: If you are on the edge because you want to attend the session on "Introduction to Python". I would be happy to walk you through the basics at a later time. -- Vikram

Other varieties --

There's a contra on the 23rd; swing dancing most Mondays; this is supposed to be a great tango town, and I'm looking for drop-in-friendly beginner classes...

[http://www.santafenewmexican.com/Sidebar/Dance_fever_in_Santa_Fe swing, salsa, tango]

[http://www.folkmads.org/may_jun_calendar12.html contras, here and ABQ]

We've heard great Appalachian-style folk musicians here already, but I haven't found a ceili or hoedown locally.

--Chloe

==Trip to Taos==

JP and Tom are going to go to Taos on Saturday 6/16. Sights to see will include the High Road to Taos, Taos Pueblo, the Taos Gorge, Taos Earthships, and the plenty of Taos Hippies.
 
Car 1: JP's Camry 

1.[[JP]] 
2. 
3.Piotr 
4.Matteo 
5.Vikram 
 

Car 2: Tom's Car 
1 
2 Miguel 
3 Riccardo 
4 Priya 

From Andres: I'm sorry... I decided to stay tomorrow at St. John's. I'm very sorry to letting you know so late...! I want to rest, and there is some work I'd like to do...
From Nick: Same for me guys. I feel exhausted. Sorry for telling you so late. Enjoy!

==Trip to Abiquiu==

We are organizing a trip to lake Abiquiu this weekend. ATTENTION ATTENTION! Drivers (Christa, Fabio, John, Tom and David) will meet at 8:30 tomorrow morning (Saturday), and will go with Christa to town to rent 4 cars. We'll pick the others up at 9:30. Those in Christas car, meet at 9am. See you tomorrow!

Fabio

Friederike

Elena

Mikkel

John

Nona

Abby

Marco

Aleksandra

Jasmeen

Dan

Sandro

Ian (if there is any room)

Vanessa (ditto)

Christa (my car seats 5 including me, but I want to stop by Los Alamos to pick up my dog on the way. That adds ~30 min to the drive. "Christa's Honda has manual transmission. do we need a second driver on the car who can drive a stick shift car?" "Yes"- Christa

1. Christa

2. Xue (though I'm also willing to be a driver if necessary)

3. Katrien

4. Jianfeng Xu

5. Xin

Tom

Nick A

==Bandelier Field Trip==

Bandelier Field Trip
Trip to Bandelier National Monument on Sat. June 9.
We might string a visit to the Valles Caldera and Bradbury Science Museum/Los Alamos in as well. If another group would like to stay around Bandelier, we can split up.

Head over to the [[Bandelier Trip 2012 | Bandelier Trip]] Page to sign up!

==Mafia==

[[JP]] is a huge fan of Mafia/Werewolf. Let's play a game sometime in the lower commons.

Let's meet Saturday evening at 8:00 in the lower commons for our first game.

- [[Ryan_James|Ryan]] is down for this.

- Jasmeen is also a big fan of Mafia.

- Ian has never played, but is interested

- Vikram is interested in learning the game.

- Tom F. would like to join and can also teach "The Resistance" a very similar game

- Katrien wants to play too

==FOOTBALL!==

Anyone up for a friendly game of soccer? We can check out equipment from the gym.

[Team: Continuous!] 
1. [[Piotr Milanowski|Piotr]] 
2. [[Marco Duenas|Marco]] 
3.[[Oleksandr Ivanov|Alex]] 
4. 
5. 
[Team: Discrete!] 
1. [[Fabio Cresto Aleina|Fabio]] 
2. [[Matteo Chinazzi|Matteo]] 
3.[[JP]] 
4. 
5.

Complex Systems Summer School 2012-Tutorials

2012-06-18T17:00:13Z

LongoMark:

{{Complex Systems Summer School 2012}}

CSSS participants come from a wide range of disciplines. Participants are encouraged to share their knowledge by organizing their own tutorials.

Also, please post requests for tutorials here.

==Non-linear measures of correlation==

I have been working on how to quantify the reciprocal interaction of time-series over time. I am using Recurrence Plots (http://www.recurrence-plot.tk/glance.php). If anybody is interested in discussing this method, I am willing to prepare a small tutorial on what recurrence plots are and how I have been using them.

Riccardo (fusaroli@gmail.com)

- Matteo

- Oleksandr krystoferivanov@gmail.com

==Intro to Philosophy of Science==

Hi All, I've heard some interest in having a more structured/rigorous intro to ideas in the philosophy of science. I'd be happy to briefly explain some of the classic theories as well as some more recent views due to, e.g. Bas Van Fraassen, James Ladyman, Nancy Cartwright, and we could have a small (moderated!) group discussion. Sign up if interested... -Jasmeen

- Hide is interested and has a crush on Engels

- Friederike

- Matteo

- Vikram

- Mikkel

- Mark (!)

==Markov Chain Monte Carlo==
If anyone is interested in talking more about Bayesian methods and MCMC implementation, I'd be happy to put something together. - Keegan

-Hide is interested in this!

-Abby

-Joanne

-Oscar

-Vanessa

-Jasmeen

-Georg

-Nona

-benji

-Riccardo

-Matteo

- Vikram

==Python, Computational Mechanics, and Information Theory==

There has been interest in more discussion on a number of topics, and so i'm offering to have evening discussions on them. please sign up below so that i can get a feel for the number of people who would be attending. also, please put a preference for what day it should be.

===Python===
Sign up below if you'd like an introduction to basic python programming. Python is a general purpose, very flexible and useful programming language. It is used pretty extensively in scientific computing.

dan wu: wu12345@gmail.com Let me know when we're meeting

- Benji: bzusman@gmail.com 

-Keegan keegan.hines@gmail.com

-Christa (maybe- I'm competent at the very basics, but could still use some help)

- Riccardo: fusaroli@gmail.com

- Oleksandr: krystoferivanov@gmail.com

- Nona: nona.karalashvili@gmail.com

- Xiaoli: xiaolidong2008@gmail.com

- Abby: Abbyhorn@Mit.edu

- Marco: maduenase@gmail.com

- Nick: goudemand at pim dot uzh dot ch

- Fabio: fabio.cresto-aleina@zmaw.de

- Joanne: joannerodrigues@berkeley.edu

- Hide: hi55 at cornell dot edu

- Priya: iitm.priya@gmail.com

- Miguel: miguel.lurgi@icm.csic.es

- Oscar: opatters@asu.edu

- Vanessa: vanferdi at gmail dot com

- Georg G: gmg at stat dot cmu dot edu dot notthelastpart

- Oleksandr: krystoferivanov@gmail.com

===Information Theory===
Interested in turning your data into bits, or seeing how the bits over there are related to the bits over here? If so, sign up below.

- Matteo

- Benji: bzusman@gmail.com

-Keegan keegan.hines@gmail.com

-Riccardo

-Christa

- Katrien

- Xiaoli

- Abby

- Jasmeen

- Hide

- Sanith

- Priya

- Georg W.

- Piotr

- Miguel

- Oscar

- Vanessa

- Nona

- Georg G.

- Oleksandr krystoferivanov@gmail.com

===Computational Mechanics===
If you'd like to know more about epsilon machines, measures of complexity, how to go from a map to a machine, i'm happy to discuss it all. 
- Matteo

Yes please! --Chloe

-Keegan keegan.hines@gmail.com

-Christa

-Xiaoli

-Jasmeen

-Hide

-Sanith

- Priya

- Georg W.

-Piotr

-Ian

- Miguel

- Oscar

- Abby

- Georg G.

- Riccardo.

==Order Book Dynamics: Learn how to trade in 15min==

--I'm happy to repeat this -just get in touch with me.--

If you are curious about how stocks trade and want to try your luck, I'll
be going over some of the basics with a hands-on example.

Meet at 7.30pm in main lecture hall Thursday June 7th. Please make sure
to bring your laptop.

Sanith

==Update==

Hi guys

I guess the mail lecture hall is free at 6.30 pm and so we can meet there. I have a small talk through the idea and then maybe we can try out getting bifurcation plots for one or two systems. I use software written in MATLAB for the demo but the idea can be implemented in any software.

Here's a link to the [[software for numerical continuation|http://twr.cs.kuleuven.be//research/software/delay/notice.shtml]]. This software can handle systems with time delays and can be used to obtain the bifurcation behaviour.

(1) Please download the software DDE-BIFTOOL and unzip.

(2) Within the folder, you will find another zipped folder in small case ‘ddebiftool’. Please unzip this into a folder with the same name

(3) Add the location of the folder to the path of MATLAB.
I have also sent out a mail with a zipped folder containing files to get a bifurcation plot for a Rijke tube system.
Do let me know if anyone did not get this.
See you there!

Priya

==An easier way to get a bifurcation plot==

Hey guys
I have been working in the past in obtaining bifurcation plots for different physical systems. There's a better way to get these pictures instead of getting the evolution at every parameter value of interest. This is called ''numerical continuation'' and basically involves tracking a curve. I plan to give a informal talk on how to do this and maybe even a demo on applying this technique on 14th June at 6.30 pm. Do mail me if you are interested at '''iitm.priya@gmail.com''' or sign up below.
[[User:Priya|Priya]]

- [[Ryan James|Ryan]] is interested in this. 
- Riccardo is interested in this. 
- Vikram is interested in this. 
- Matteo is interested in this. 
- Hide is interested in this. 
- Katrien wants to hear more about this. 
- Cameron is interested in this and would like to see [http://itunes.apple.com/us/app/xpp/id433859546?mt=8 this] in action if anyone has an iPad. 
- Oscar is interested in this. 
- Charlie is interested in this. (I've done this once for a paper.) 
- Georg W. is interested in this 

==Using Tisean on R on OS X==
first install TISEAN, like you've done already. Make sure R is up to date (v 2.15).
you can try to install RTisean from CRAN
install.packages("RTisean"); library(RTisean); henon()
But me and Dave both got an error about some bad file name, something about con and something about a long path involving -Tmp-
Solution:
remove.packages("RTisean")
restart R
download this: http://cl.ly/0I0b2P2L311y1q0q0y0n
install it, it changes line 74 of nativeTISEAN.R which has some problems with file handling
If you are golden, then:
> henon()
V1 V2
[1,] -0.1232481 -1.030383

==A conceptual shell==

One thing that I think has been missing from this course is an explicit set of concepts and tools which we can use to relate all of the talks we've been listening to. Last fall, two other graduates students and I taught a survey course on complexity. We put together the following document, which contains one-paragraph summaries of what we felt were the 20 most important concepts that comprised the field of complexity. These were the "glue" that we used to relate all of our lectures and workshops. Most of these will probably be familiar to you, but I think they serve as a nice, concise reference and may be helpful in tying all of this information overload together. One caveat: These are works in progress and are in alphabetical rather than any logical conceptual order.

[[Media:Topics_in_Complexity_Foundational_Definitions.pdf]]

Cheers,
Mark Longo

File:Topics in Complexity Foundational Definitions.pdf

2012-06-18T16:42:06Z

LongoMark: One paragraph summaries of twenty of the most important concepts and tools in the field of complexity. Written by Mark Longo, Diamantis Sellis, and Rebecca Wilbanks in preparation for a survey course in complexity at Stanford. Caveat: These are works in

One paragraph summaries of twenty of the most important concepts and tools in the field of complexity. Written by Mark Longo, Diamantis Sellis, and Rebecca Wilbanks in preparation for a survey course in complexity at Stanford. Caveat: These are works in progress and are in alphabetical rather than in any sort of coherent conceptual order.

Complex Systems Summer School 2012-Tutorials

2012-06-18T16:37:51Z

LongoMark: /* Intro to Philosophy of Science */

Complex Systems Summer School 2012-After Hours

2012-06-14T21:31:03Z

LongoMark: /* Some Banjo fun out on the town */

{{Complex Systems Summer School 2012}}

Use this space to organize your own after hours activities.

==Some Banjo fun out on the town==

My brother will be having a concert this Saturday June 16 at the Second Street Brewery (original location) from 6-9p.m.

[http://www.secondstreetbrewery.com/2012/05/todd-the-fox-9/ Todd and the Fox Venue Details]

[http://www.toddandthefox.com/fr_home.cfm To hear their music]

If anyone would like to join:

Car 1: Juniper's Car 

1. Katrien

2. Marque

3. Sarah

4.

==Dancing==
Of particular varieties --

There's a contra on the 23rd; swing dancing most Mondays; this is supposed to be a great tango town, and I'm looking for drop-in-friendly beginner classes...

[http://www.santafenewmexican.com/Sidebar/Dance_fever_in_Santa_Fe swing, salsa, tango]

[http://www.folkmads.org/may_jun_calendar12.html contras, here and ABQ]

We've heard great Appalachian-style folk musicians here already, but I haven't found a ceili or hoedown locally.

--Chloe

==Trip to Taos==

JP and Tom are going to go to Taos on Saturday 6/16. Sights to see will include the High Road to Taos, Taos Pueblo, the Taos Gorge, Taos Earthships, and the plenty of Taos Hippies.
 
Car 1: JP's Camry 

1.[[JP]] 
2.Nick G 
3.Piotr 
4.Matteo 
5. 
 

Car 2: Tom's Car 
1 Andres G. 
2 Miguel 
3 Riccardo 
4 Priya 

==Trip to Abiquiu==

We are organizing a trip to lake Abiquiu this weekend. Google maps says it should take about 1:10 hour driving from Santa Fe. Who's interested? We'll have to rent cars to go there.

Fabio

Friederike

Elena

Mikkel

John

Nona

Abby

Christa (my car seats 5 including me, but I want to stop by Los Alamos to pick up my dog on the way. That adds ~30 min to the drive. "Christa's Honda has manual transmission. do we need a second driver on the car who can drive a stick shift car?"

1. Christa

2. Xue (though I'm also willing to be a driver if necessary)

3. Katrien

4. Jianfeng Xu

5.

==Bandelier Field Trip==

Bandelier Field Trip
Trip to Bandelier National Monument on Sat. June 9.
We might string a visit to the Valles Caldera and Bradbury Science Museum/Los Alamos in as well. If another group would like to stay around Bandelier, we can split up.

Head over to the [[Bandelier Trip 2012 | Bandelier Trip]] Page to sign up!

==Mafia==

[[JP]] is a huge fan of Mafia/Werewolf. Let's play a game sometime in the lower commons.

Let's meet Saturday evening at 8:00 in the lower commons for our first game.

- [[Ryan_James|Ryan]] is down for this.

- Jasmeen is also a big fan of Mafia.

- Ian has never played, but is interested

- Vikram is interested in learning the game.

- Tom F. would like to join and can also teach "The Resistance" a very similar game

- Katrien wants to play too

==FOOTBALL!==

Anyone up for a friendly game of soccer? We can check out equipment from the gym.

[Team: Continuous!] 
1. [[Piotr Milanowski|Piotr]] 
2. [[Marco Duenas|Marco]] 
3.[[Oleksandr Ivanov|Alex]] 
4. 
5. 
[Team: Discrete!] 
1. [[Fabio Cresto Aleina|Fabio]] 
2. [[Matteo Chinazzi|Matteo]] 
3.[[JP]] 
4. 
5.

Complex Systems Summer School 2012-TShirts

2012-06-12T18:58:27Z

LongoMark: /* 2012 CSSS T-Shirt Design Submissions */

{{Complex Systems Summer School 2012}}

Every year we have a T-shirt design contest, where CSSS Students create designs (relevant to the summer school) and during the end of the second week we vote on the one we will print and distribute to the cohort. Please post your T-shirt design below. The design will be printed on a single colored T-shirt (keep in mind which color T-shirt you would like to print on while planning your design). The print that will go on the T-shirt is limited to a two color back and a one color front.

Have fun and be creative!

==2012 CSSS T-Shirt Design Submissions==
[[File:Urania.jpg]]

Urania blowing seeds of complexity

This is a draft I prepared a late evening some time before the CSSS. I didn't know at that time that the dorms have muse names and that I'll end up in the Urania...

Urania was the muse of Astronomy and also the Muse of Mathematics. she was often depicted holding a globe in her hands. In this case the cubist face and hands of Urania are borrowed from Picasso and she holds a SFI globe/dandelion flower head, on which she blows in order to disperse the seeds of complexity.

In my view this would need some serious polishing and volunteers to do so are welcome! Feedbacks also!

Cheers, Nick Goudemand

------------------------------------------------------------------------------------------------------

[[File:SFI transit small.jpg]]

SFI transit: the next generation of innovation is coming!

One more design.

Cheers, Nick G

------------------------------------------------------------------------------------------------------

[[File:SFI transit small 2.jpg]]

SFI transit: the next generation of innovation is coming!

An alternative version of the SFI transit in front of apple design....thanks to Sander for the suggestion.

Nick G
------------------------------------------------------------------------------------------------------

[[File:SFI logo with transit2.jpg]]

Venus transit in front of SFI logo

another proposition: urania in the back and this logo with the Venus transit in the front of Tshirt.

Nick

------------------------------------------------------------------------------------------------------

[[File:T shirt.jpg]]

Crystals are a prime manifestation of complexity. The design (front and back) represents crystals grown in cell culture dishes as seen under the microscope. The picture on the right has been mapped on a canvas with polar coordinates to show more symmetrical structure and avoid having a beginning and an end. (One from Georg Weber)

------------------------------------------------------------------------------------------------------

Simple Systems Summer School (SSSS) Rejects

(from Charlie)

(not necessarily white; and not necessarily this font and logo)

[[File:SSSSR.png]]

------------------------------------------------------------------------------------------------------

Black shirt:

Obviously I am very bad at photoshop, but I hope you get my idea. We can work on the final design with someone with experience in graphics design.

Also, I would like the SFI logo in the back of the shirt, small and up near the neck.

(from Miguel)

[[File:T-shirt.png]]

------------------------------------------------------------------------------------------------------

White shirt:

Also needs some refinement with the help of a graphic designer. And we have to narrow down the colors (I didn't know only two colors possible).

Maybe this picture can go in the back and the SFI logo in front in the middle of the chest?

(from Miguel)

[[File:Network-shirt.jpg]]

------------------------------------------------------------------------------------------------------

Rossler attractor mountains & sun (rough idea)

[[File:rosslermountain.jpg]]

-Jasmeen

------------------------------------------------------------------------------------------------------

Another idea, which someone who knows NetLogo could help me make: a network of all the students in the summer school, connected via project links?? (or some other link?) (N.B. we can only use two colours, so can't have multi-coloured agents.)

-Jasmeen

----
Fractal tree and code

[[File:Fractal_and_code.png]]

-Mark and Nick

----
Mountains and cantor set

[[File:Mountains_and_Cantor_Set.png]]

And another - Sarah's idea.

-Mark

----

[[File:qihc.png]]

[[Cameron Ray Smith|Cameron]]

----

[[File:Qihc-arrow.png]]

[[File:qihc-arrows.pdf]]

[[Cameron Ray Smith|Cameron]]

Complex Systems Summer School 2012-TShirts

2012-06-12T18:57:17Z

LongoMark: /* 2012 CSSS T-Shirt Design Submissions */

{{Complex Systems Summer School 2012}}

Every year we have a T-shirt design contest, where CSSS Students create designs (relevant to the summer school) and during the end of the second week we vote on the one we will print and distribute to the cohort. Please post your T-shirt design below. The design will be printed on a single colored T-shirt (keep in mind which color T-shirt you would like to print on while planning your design). The print that will go on the T-shirt is limited to a two color back and a one color front.

Have fun and be creative!

==2012 CSSS T-Shirt Design Submissions==
[[File:Urania.jpg]]

Urania blowing seeds of complexity

This is a draft I prepared a late evening some time before the CSSS. I didn't know at that time that the dorms have muse names and that I'll end up in the Urania...

Urania was the muse of Astronomy and also the Muse of Mathematics. she was often depicted holding a globe in her hands. In this case the cubist face and hands of Urania are borrowed from Picasso and she holds a SFI globe/dandelion flower head, on which she blows in order to disperse the seeds of complexity.

In my view this would need some serious polishing and volunteers to do so are welcome! Feedbacks also!

Cheers, Nick Goudemand

------------------------------------------------------------------------------------------------------

[[File:SFI transit small.jpg]]

SFI transit: the next generation of innovation is coming!

One more design.

Cheers, Nick G

------------------------------------------------------------------------------------------------------

[[File:SFI transit small 2.jpg]]

SFI transit: the next generation of innovation is coming!

An alternative version of the SFI transit in front of apple design....thanks to Sander for the suggestion.

Nick G
------------------------------------------------------------------------------------------------------

[[File:SFI logo with transit2.jpg]]

Venus transit in front of SFI logo

another proposition: urania in the back and this logo with the Venus transit in the front of Tshirt.

Nick

------------------------------------------------------------------------------------------------------

[[File:T shirt.jpg]]

Crystals are a prime manifestation of complexity. The design (front and back) represents crystals grown in cell culture dishes as seen under the microscope. The picture on the right has been mapped on a canvas with polar coordinates to show more symmetrical structure and avoid having a beginning and an end. (One from Georg Weber)

------------------------------------------------------------------------------------------------------

Simple Systems Summer School (SSSS) Rejects

(from Charlie)

(not necessarily white; and not necessarily this font and logo)

[[File:SSSSR.png]]

------------------------------------------------------------------------------------------------------

Black shirt:

Obviously I am very bad at photoshop, but I hope you get my idea. We can work on the final design with someone with experience in graphics design.

Also, I would like the SFI logo in the back of the shirt, small and up near the neck.

(from Miguel)

[[File:T-shirt.png]]

------------------------------------------------------------------------------------------------------

White shirt:

Also needs some refinement with the help of a graphic designer. And we have to narrow down the colors (I didn't know only two colors possible).

Maybe this picture can go in the back and the SFI logo in front in the middle of the chest?

(from Miguel)

[[File:Network-shirt.jpg]]

------------------------------------------------------------------------------------------------------

Rossler attractor mountains & sun (rough idea)

[[File:rosslermountain.jpg]]

-Jasmeen

------------------------------------------------------------------------------------------------------

Another idea, which someone who knows NetLogo could help me make: a network of all the students in the summer school, connected via project links?? (or some other link?) (N.B. we can only use two colours, so can't have multi-coloured agents.)

-Jasmeen

----
[[File:Fractal_and_code.png]]

-Mark and Nick

----
[[File:Mountains_and_Cantor_Set.png]]

And another - Sarah's idea.

-Mark

----

[[File:qihc.png]]

[[Cameron Ray Smith|Cameron]]

----

[[File:Qihc-arrow.png]]

[[File:qihc-arrows.pdf]]

[[Cameron Ray Smith|Cameron]]

Complex Systems Summer School 2012-TShirts

2012-06-12T18:56:09Z

LongoMark: /* 2012 CSSS T-Shirt Design Submissions */

{{Complex Systems Summer School 2012}}

Every year we have a T-shirt design contest, where CSSS Students create designs (relevant to the summer school) and during the end of the second week we vote on the one we will print and distribute to the cohort. Please post your T-shirt design below. The design will be printed on a single colored T-shirt (keep in mind which color T-shirt you would like to print on while planning your design). The print that will go on the T-shirt is limited to a two color back and a one color front.

Have fun and be creative!

==2012 CSSS T-Shirt Design Submissions==
[[File:Urania.jpg]]

Urania blowing seeds of complexity

This is a draft I prepared a late evening some time before the CSSS. I didn't know at that time that the dorms have muse names and that I'll end up in the Urania...

Urania was the muse of Astronomy and also the Muse of Mathematics. she was often depicted holding a globe in her hands. In this case the cubist face and hands of Urania are borrowed from Picasso and she holds a SFI globe/dandelion flower head, on which she blows in order to disperse the seeds of complexity.

In my view this would need some serious polishing and volunteers to do so are welcome! Feedbacks also!

Cheers, Nick Goudemand

------------------------------------------------------------------------------------------------------

[[File:SFI transit small.jpg]]

SFI transit: the next generation of innovation is coming!

One more design.

Cheers, Nick G

------------------------------------------------------------------------------------------------------

[[File:SFI transit small 2.jpg]]

SFI transit: the next generation of innovation is coming!

An alternative version of the SFI transit in front of apple design....thanks to Sander for the suggestion.

Nick G
------------------------------------------------------------------------------------------------------

[[File:SFI logo with transit2.jpg]]

Venus transit in front of SFI logo

another proposition: urania in the back and this logo with the Venus transit in the front of Tshirt.

Nick

------------------------------------------------------------------------------------------------------

[[File:T shirt.jpg]]

Crystals are a prime manifestation of complexity. The design (front and back) represents crystals grown in cell culture dishes as seen under the microscope. The picture on the right has been mapped on a canvas with polar coordinates to show more symmetrical structure and avoid having a beginning and an end. (One from Georg Weber)

------------------------------------------------------------------------------------------------------

Simple Systems Summer School (SSSS) Rejects

(from Charlie)

(not necessarily white; and not necessarily this font and logo)

[[File:SSSSR.png]]

------------------------------------------------------------------------------------------------------

Black shirt:

Obviously I am very bad at photoshop, but I hope you get my idea. We can work on the final design with someone with experience in graphics design.

Also, I would like the SFI logo in the back of the shirt, small and up near the neck.

(from Miguel)

[[File:T-shirt.png]]

------------------------------------------------------------------------------------------------------

White shirt:

Also needs some refinement with the help of a graphic designer. And we have to narrow down the colors (I didn't know only two colors possible).

Maybe this picture can go in the back and the SFI logo in front in the middle of the chest?

(from Miguel)

[[File:Network-shirt.jpg]]

------------------------------------------------------------------------------------------------------

Rossler attractor mountains & sun (rough idea)

[[File:rosslermountain.jpg]]

-Jasmeen

------------------------------------------------------------------------------------------------------

Another idea, which someone who knows NetLogo could help me make: a network of all the students in the summer school, connected via project links?? (or some other link?) (N.B. we can only use two colours, so can't have multi-coloured agents.)

-Jasmeen

----
[[File:Fractal_and_code.png]]

-Mark and Nick

----

----

[[File:qihc.png]]

[[Cameron Ray Smith|Cameron]]

----

[[File:Qihc-arrow.png]]

[[File:qihc-arrows.pdf]]

[[Cameron Ray Smith|Cameron]]

Complex Systems Summer School 2012-TShirts

2012-06-12T18:54:37Z

LongoMark: /* 2012 CSSS T-Shirt Design Submissions */

{{Complex Systems Summer School 2012}}

Every year we have a T-shirt design contest, where CSSS Students create designs (relevant to the summer school) and during the end of the second week we vote on the one we will print and distribute to the cohort. Please post your T-shirt design below. The design will be printed on a single colored T-shirt (keep in mind which color T-shirt you would like to print on while planning your design). The print that will go on the T-shirt is limited to a two color back and a one color front.

Have fun and be creative!

==2012 CSSS T-Shirt Design Submissions==
[[File:Urania.jpg]]

Urania blowing seeds of complexity

This is a draft I prepared a late evening some time before the CSSS. I didn't know at that time that the dorms have muse names and that I'll end up in the Urania...

Urania was the muse of Astronomy and also the Muse of Mathematics. she was often depicted holding a globe in her hands. In this case the cubist face and hands of Urania are borrowed from Picasso and she holds a SFI globe/dandelion flower head, on which she blows in order to disperse the seeds of complexity.

In my view this would need some serious polishing and volunteers to do so are welcome! Feedbacks also!

Cheers, Nick Goudemand

------------------------------------------------------------------------------------------------------

[[File:SFI transit small.jpg]]

SFI transit: the next generation of innovation is coming!

One more design.

Cheers, Nick G

------------------------------------------------------------------------------------------------------

[[File:SFI transit small 2.jpg]]

SFI transit: the next generation of innovation is coming!

An alternative version of the SFI transit in front of apple design....thanks to Sander for the suggestion.

Nick G
------------------------------------------------------------------------------------------------------

[[File:SFI logo with transit2.jpg]]

Venus transit in front of SFI logo

another proposition: urania in the back and this logo with the Venus transit in the front of Tshirt.

Nick

------------------------------------------------------------------------------------------------------

[[File:T shirt.jpg]]

Crystals are a prime manifestation of complexity. The design (front and back) represents crystals grown in cell culture dishes as seen under the microscope. The picture on the right has been mapped on a canvas with polar coordinates to show more symmetrical structure and avoid having a beginning and an end. (One from Georg Weber)

------------------------------------------------------------------------------------------------------

Simple Systems Summer School (SSSS) Rejects

(from Charlie)

(not necessarily white; and not necessarily this font and logo)

[[File:SSSSR.png]]

------------------------------------------------------------------------------------------------------

Black shirt:

Obviously I am very bad at photoshop, but I hope you get my idea. We can work on the final design with someone with experience in graphics design.

Also, I would like the SFI logo in the back of the shirt, small and up near the neck.

(from Miguel)

[[File:T-shirt.png]]

------------------------------------------------------------------------------------------------------

White shirt:

Also needs some refinement with the help of a graphic designer. And we have to narrow down the colors (I didn't know only two colors possible).

Maybe this picture can go in the back and the SFI logo in front in the middle of the chest?

(from Miguel)

[[File:Network-shirt.jpg]]

------------------------------------------------------------------------------------------------------

Rossler attractor mountains & sun (rough idea)

[[File:rosslermountain.jpg]]

-Jasmeen

------------------------------------------------------------------------------------------------------

Another idea, which someone who knows NetLogo could help me make: a network of all the students in the summer school, connected via project links?? (or some other link?) (N.B. we can only use two colours, so can't have multi-coloured agents.)

-Jasmeen

----
[[File:Fractal_and_code.png]]

----

[[File:qihc.png]]

[[Cameron Ray Smith|Cameron]]

----

[[File:Qihc-arrow.png]]

[[File:qihc-arrows.pdf]]

[[Cameron Ray Smith|Cameron]]

File:Fractal and code.png

2012-06-12T18:51:06Z

LongoMark: t-shirt idea

t-shirt idea

File:Mountains and Cantor Set.png

2012-06-12T18:49:09Z

LongoMark: t-shirt idea

t-shirt idea

Complex Systems Summer School 2012-Projects & Working Groups

2012-06-05T05:28:48Z

LongoMark: /* Plasticity in Neural Networks */

{{Complex Systems Summer School 2012}}

==Project proposals==

=== Nonequilibrium game theory ===
My hope is to adapt some SFI-based models, by people like Crutchfield and Farmer, so that they will quantitatively or qualitatively reproduce features of real human data. Of course, that is very specific, and I'm up for all kinds of ideas in the areas of game learning, game dynamics, small group collective behavior, cognitive science, nonlinear time series, non-eq time series, etc., etc.

Meet me, Seth Frey, at dinner on Thursday and Friday.

=== Enzyme kinetics – Do enzymes just accelerate equilibrium or play an active role in chemical reactions? ===
Enzyme networks (e.g. glycolysis) and catalysts in complex mixtures (e.g. Belusov-Zhabotinski reaction) can profoundly influence the outcome of a chemical reaction system. What about a single enzyme? Biochemistry textbooks uniformly say that an enzyme accelerates a reaction without altering its outcome. Yet, the set of differential equations that generically describes enzyme catalysis has remarkable resemblance to the Roessler equations (a textbook example of a non-linear, complex system). With a fixed substrate input or a steady substrate flow, a single enzyme probably cannot affect the reaction outcome. However, sinusoidal or pulsating substrate input, substrate activation or product inhibition, coupling of two enzymes could turn the reaction pattern non-linear. For this project, the sets of equations to study are quite well established – they need to be analyzed. In contrast to some of the more ambitious ideas circulated, this task is exhaustively doable in less than four weeks.

I am Georg Weber. If you are interested in studying this problem, please find me on Tuesday over lunch or dinner (or talk to me at any other unstructured time).
=== Traffic pattern analysis - Can we estimate car velocity by only observing car counts? ===
Imagine you have a monitored highway section with a start and end point. At both points you count the number of cars that pass by. The question I'd like to answer / simulate / estimate is: can we make some inference about the velocity of cars although we only have their counts? This would be very useful from an engineering / economic perspective because it's much easier / cheaper to count cars instead of actually tracking them from A to B.

I have some intuition about how to go about this, but these are purely statistical (think of it as birth and death process; or as particles in a system that have a certain lifetime - cars in the highway section are like particles in a system). I would like to see if using more physical modeling of motion and agent-based modeling of traffic flow could shed more light on this problem.

If you are interested let me know (me = (me = [http://tuvalu.santafe.edu/events/workshops/index.php/Georg_M_Goerg Georg M. Goerg]; email my_3_initials_in_lowercase@stat.cmu.edu). Let's say Wednesday for lunch (or any other time you see me around).

=== Cultural Evolution - General Meet-up ===
Attention anyone who is interested in cultural evolution or applying your models/methodologies to this fabulous topic!

Let's meet at 4:15 (June 5th) in the cafe during the first "Time to work on Projects" slot. A bunch of us coalesced there tonight and figured we should all properly meet up and then bud off into different projects. Please post your potential buds below:

==="Small Steps and Big Ideas" Group===

[http://tuvalu.santafe.edu/events/workshops/index.php/Christa_Brelsford Christa] [http://tuvalu.santafe.edu/events/workshops/index.php/Daniel_Wu Dan] [http://tuvalu.santafe.edu/events/workshops/index.php/Xin_Lu Xin] and Tom spent a while talking after dinner about a bunch of big ideas. Some things we thought about were *big data type network problems, *integrating qualitative social information with models of physical systems, *using games to understand cooperation and decision making.

=== 107 Proteins in 10-3 cubic meters ===
Cells rely on proteins to perform vital metabolic and signaling functions; however, it is unclear how proteins are successfully directed to their necessary cellular location(s) in a densely-packed macromolecular environment within the cytoplasm and on the cellular membrane in a short timescale (see for example [http://www.pnas.org/content/108/16/6438.full Weigel et al., PNAS 2011]). Using the cell as a manipulatable model of complexity, one could begin to define the parameters and questions, as they pertain to prokaryotic and eukaryotic cells. If interested, please drop me a line: Sepehr Ehsani; sepehr.ehsani[at]utoronto.ca.

=== Innovation and Technological Progress ===

I noticed that a number of people mentioned that they were interested in some way in relation to innovation. I was wondering if anyone was interested in a project looking at how particular technologies progress over time and whether charting the form of successful (and/or unsuccessful) previous technologies such as the transistor, fission reactor, mobile phone, etc. in terms of either price, efficiency, or some other variable may be useful in predicting whether a current technology such as solar PV, fuel cell, or something else is following a similar trajectory. Other possible ideas might be to look at using patent, publication, or collaboration network data to reveal certain features of innovation that are not captured by other statistics, particularly for technologies that have yet to reach the market. SFI Professor Doyne Farmer has looked at some of this already in 'The Role of Design Complexity in Technology Improvement', see link: http://adsabs.harvard.edu/abs/2009arXiv0907.0036M

This could be a jumping off point for some ideas on data, methods, models etc. Just throwing the idea out there and it's welcome to completely change but if you're interested, message me (Gareth Haslam) haslam@ias.unu.edu or find me in class.

=== Space, Stochasticity, Stability; Speciation? ===

[http://tuvalu.santafe.edu/events/workshops/index.php/Xue_Feng Xue], [http://tuvalu.santafe.edu/events/workshops/index.php/Chloe_Lewis Chloe] and [http://tuvalu.santafe.edu/events/workshops/index.php/Xiaoli_Dong Xiaoli]are all working in ecosystems that experience_ a lot of unpredictability in a limiting ecosystem variables (water and/or nutrients); we see patchiness in space and time in how organisms are arranged; and we have some ideas about how the stochasticity may cause the spatial arrangements. [http://tuvalu.santafe.edu/events/workshops/index.php/Si_Tang Si] is working on the stability and robustness of ecosystems.

With enough time, this is likely to involve speciation either to express different strategies, or as a result of spatial separation.

Find any of us walking-around, or meet in the cafeteria at 4:15 June 5th.

=== Plasticity in Neural Networks ===
I've done some modeling which shows that the amount of genetic variation that accumulates at any particular metabolic gene (enzyme) in a population at any given time is a function of the network topology in which the gene is embedded, as well as the distance of the network output from an optimum. So, for instance, in a linear metabolic network, enzymes at the beginning of a pathway will tend to be more constrained (show less variation in the population) than at the end of the pathway. This makes sense given that any changes in those first genes would ripple through the system and have a greater relative effect than mutations in later genes. However, this is only true when a population is already close to an optimum. When far from an optimum, we see the exact opposite trend with more variation in the front of the pathway. This also makes sense - when far from a goal, taking bigger steps gives individuals a better chance of achieving higher fitness. The system as a whole then uses the different relative step sizes according to pathway position to "fine tune" its output.
I think these findings are quite general - at least the model we used was simple enough that it could apply to many different types of directional developmental processes. We can conceptualize these "genes" more generally as sequential steps in a developmental process with some arbitrary goal. These could be steps in a factory assembly line, major product revisions versus minor releases, or (and this is my favorite), neurons learning about their environment. I'm curious what would happen if we took a similar approach to model neural networks. Genetic variation is the raw material for evolution while neural plasticity is the raw material for learning. The question we would be trying to answer is where, within a neural network, would we expect the most plasticity given a particular network topology and distance form a learning goal.
Please contact me (Mark Longo) if this sounds interesting. I'll be available during unstructured time, or you can email mlongo@stanford.edu.
[http://tuvalu.santafe.edu/events/workshops/index.php/Mark_D._Longo]

Complex Systems Summer School 2012-Projects & Working Groups

2012-06-05T05:28:00Z

LongoMark: /* Plasticity in Neural Networks */

{{Complex Systems Summer School 2012}}

==Project proposals==

=== Nonequilibrium game theory ===
My hope is to adapt some SFI-based models, by people like Crutchfield and Farmer, so that they will quantitatively or qualitatively reproduce features of real human data. Of course, that is very specific, and I'm up for all kinds of ideas in the areas of game learning, game dynamics, small group collective behavior, cognitive science, nonlinear time series, non-eq time series, etc., etc.

Meet me, Seth Frey, at dinner on Thursday and Friday.

=== Enzyme kinetics – Do enzymes just accelerate equilibrium or play an active role in chemical reactions? ===
Enzyme networks (e.g. glycolysis) and catalysts in complex mixtures (e.g. Belusov-Zhabotinski reaction) can profoundly influence the outcome of a chemical reaction system. What about a single enzyme? Biochemistry textbooks uniformly say that an enzyme accelerates a reaction without altering its outcome. Yet, the set of differential equations that generically describes enzyme catalysis has remarkable resemblance to the Roessler equations (a textbook example of a non-linear, complex system). With a fixed substrate input or a steady substrate flow, a single enzyme probably cannot affect the reaction outcome. However, sinusoidal or pulsating substrate input, substrate activation or product inhibition, coupling of two enzymes could turn the reaction pattern non-linear. For this project, the sets of equations to study are quite well established – they need to be analyzed. In contrast to some of the more ambitious ideas circulated, this task is exhaustively doable in less than four weeks.

I am Georg Weber. If you are interested in studying this problem, please find me on Tuesday over lunch or dinner (or talk to me at any other unstructured time).
=== Traffic pattern analysis - Can we estimate car velocity by only observing car counts? ===
Imagine you have a monitored highway section with a start and end point. At both points you count the number of cars that pass by. The question I'd like to answer / simulate / estimate is: can we make some inference about the velocity of cars although we only have their counts? This would be very useful from an engineering / economic perspective because it's much easier / cheaper to count cars instead of actually tracking them from A to B.

I have some intuition about how to go about this, but these are purely statistical (think of it as birth and death process; or as particles in a system that have a certain lifetime - cars in the highway section are like particles in a system). I would like to see if using more physical modeling of motion and agent-based modeling of traffic flow could shed more light on this problem.

If you are interested let me know (me = (me = [http://tuvalu.santafe.edu/events/workshops/index.php/Georg_M_Goerg Georg M. Goerg]; email my_3_initials_in_lowercase@stat.cmu.edu). Let's say Wednesday for lunch (or any other time you see me around).

=== Cultural Evolution - General Meet-up ===
Attention anyone who is interested in cultural evolution or applying your models/methodologies to this fabulous topic!

Let's meet at 4:15 (June 5th) in the cafe during the first "Time to work on Projects" slot. A bunch of us coalesced there tonight and figured we should all properly meet up and then bud off into different projects. Please post your potential buds below:

==="Small Steps and Big Ideas" Group===

[http://tuvalu.santafe.edu/events/workshops/index.php/Christa_Brelsford Christa] [http://tuvalu.santafe.edu/events/workshops/index.php/Daniel_Wu Dan] [http://tuvalu.santafe.edu/events/workshops/index.php/Xin_Lu Xin] and Tom spent a while talking after dinner about a bunch of big ideas. Some things we thought about were *big data type network problems, *integrating qualitative social information with models of physical systems, *using games to understand cooperation and decision making.

=== 107 Proteins in 10-3 cubic meters ===
Cells rely on proteins to perform vital metabolic and signaling functions; however, it is unclear how proteins are successfully directed to their necessary cellular location(s) in a densely-packed macromolecular environment within the cytoplasm and on the cellular membrane in a short timescale (see for example [http://www.pnas.org/content/108/16/6438.full Weigel et al., PNAS 2011]). Using the cell as a manipulatable model of complexity, one could begin to define the parameters and questions, as they pertain to prokaryotic and eukaryotic cells. If interested, please drop me a line: Sepehr Ehsani; sepehr.ehsani[at]utoronto.ca.

=== Innovation and Technological Progress ===

I noticed that a number of people mentioned that they were interested in some way in relation to innovation. I was wondering if anyone was interested in a project looking at how particular technologies progress over time and whether charting the form of successful (and/or unsuccessful) previous technologies such as the transistor, fission reactor, mobile phone, etc. in terms of either price, efficiency, or some other variable may be useful in predicting whether a current technology such as solar PV, fuel cell, or something else is following a similar trajectory. Other possible ideas might be to look at using patent, publication, or collaboration network data to reveal certain features of innovation that are not captured by other statistics, particularly for technologies that have yet to reach the market. SFI Professor Doyne Farmer has looked at some of this already in 'The Role of Design Complexity in Technology Improvement', see link: http://adsabs.harvard.edu/abs/2009arXiv0907.0036M

This could be a jumping off point for some ideas on data, methods, models etc. Just throwing the idea out there and it's welcome to completely change but if you're interested, message me (Gareth Haslam) haslam@ias.unu.edu or find me in class.

=== Space, Stochasticity, Stability; Speciation? ===

[http://tuvalu.santafe.edu/events/workshops/index.php/Xue_Feng Xue], [http://tuvalu.santafe.edu/events/workshops/index.php/Chloe_Lewis Chloe] and [http://tuvalu.santafe.edu/events/workshops/index.php/Xiaoli_Dong Xiaoli]are all working in ecosystems that experience_ a lot of unpredictability in a limiting ecosystem variables (water and/or nutrients); we see patchiness in space and time in how organisms are arranged; and we have some ideas about how the stochasticity may cause the spatial arrangements. [http://tuvalu.santafe.edu/events/workshops/index.php/Si_Tang Si] is working on the stability and robustness of ecosystems.

With enough time, this is likely to involve speciation either to express different strategies, or as a result of spatial separation.

Find any of us walking-around, or meet in the cafeteria at 4:15 June 5th.

=== Plasticity in Neural Networks ===
I've done some modeling which shows that the amount of genetic variation that accumulates at any particular metabolic gene (enzyme) in a population at any given time is a function of the network topology in which the gene is embedded, as well as the distance of the network output from an optimum. So, for instance, in a linear metabolic network, enzymes at the beginning of a pathway will tend to be more constrained (show less variation in the population) then at the end of the pathway. This makes sense given that any changes in those first genes would ripple through the system and have a greater relative effect than mutations in later genes. However, this is only true when a population is already close to an optimum. When far from an optimum, we see the exact opposite trend with more variation in the front of the pathway. This also makes sense - when far from a goal, taking bigger steps gives individuals a better chance of achieving higher fitness. The system as a whole then uses the different relative step sizes according to pathway position to "fine tune" its output.
I think these findings are quite general - at least the model we used was simple enough that it could apply to many different types of directional developmental processes. We can conceptualize these "genes" more generally as sequential steps in a developmental process with some arbitrary goal. These could be steps in a factory assembly line, major product revisions versus minor releases, or (and this is my favorite), neurons learning about their environment. I'm curious what would happen if we took a similar approach to model neural networks. Genetic variation is the raw material for evolution while neural plasticity is the raw material for learning. The question we would be trying to answer is where, within a neural network, would we expect the most plasticity given a particular network topology and distance form a learning goal.
Please contact me (Mark Longo) if this sounds interesting. I'll be available during unstructured time, or you can email mlongo@stanford.edu.
[http://tuvalu.santafe.edu/events/workshops/index.php/Mark_D._Longo]

Complex Systems Summer School 2012-Projects & Working Groups

2012-06-05T05:24:49Z

LongoMark: /* next idea here */

{{Complex Systems Summer School 2012}}

==Project proposals==

=== Nonequilibrium game theory ===
My hope is to adapt some SFI-based models, by people like Crutchfield and Farmer, so that they will quantitatively or qualitatively reproduce features of real human data. Of course, that is very specific, and I'm up for all kinds of ideas in the areas of game learning, game dynamics, small group collective behavior, cognitive science, nonlinear time series, non-eq time series, etc., etc.

Meet me, Seth Frey, at dinner on Thursday and Friday.

=== Enzyme kinetics – Do enzymes just accelerate equilibrium or play an active role in chemical reactions? ===
Enzyme networks (e.g. glycolysis) and catalysts in complex mixtures (e.g. Belusov-Zhabotinski reaction) can profoundly influence the outcome of a chemical reaction system. What about a single enzyme? Biochemistry textbooks uniformly say that an enzyme accelerates a reaction without altering its outcome. Yet, the set of differential equations that generically describes enzyme catalysis has remarkable resemblance to the Roessler equations (a textbook example of a non-linear, complex system). With a fixed substrate input or a steady substrate flow, a single enzyme probably cannot affect the reaction outcome. However, sinusoidal or pulsating substrate input, substrate activation or product inhibition, coupling of two enzymes could turn the reaction pattern non-linear. For this project, the sets of equations to study are quite well established – they need to be analyzed. In contrast to some of the more ambitious ideas circulated, this task is exhaustively doable in less than four weeks.

I am Georg Weber. If you are interested in studying this problem, please find me on Tuesday over lunch or dinner (or talk to me at any other unstructured time).
=== Traffic pattern analysis - Can we estimate car velocity by only observing car counts? ===
Imagine you have a monitored highway section with a start and end point. At both points you count the number of cars that pass by. The question I'd like to answer / simulate / estimate is: can we make some inference about the velocity of cars although we only have their counts? This would be very useful from an engineering / economic perspective because it's much easier / cheaper to count cars instead of actually tracking them from A to B.

I have some intuition about how to go about this, but these are purely statistical (think of it as birth and death process; or as particles in a system that have a certain lifetime - cars in the highway section are like particles in a system). I would like to see if using more physical modeling of motion and agent-based modeling of traffic flow could shed more light on this problem.

If you are interested let me know (me = (me = [http://tuvalu.santafe.edu/events/workshops/index.php/Georg_M_Goerg Georg M. Goerg]; email my_3_initials_in_lowercase@stat.cmu.edu). Let's say Wednesday for lunch (or any other time you see me around).

=== Cultural Evolution - General Meet-up ===
Attention anyone who is interested in cultural evolution or applying your models/methodologies to this fabulous topic!

Let's meet at 4:15 (June 5th) in the cafe during the first "Time to work on Projects" slot. A bunch of us coalesced there tonight and figured we should all properly meet up and then bud off into different projects. Please post your potential buds below:

==="Small Steps and Big Ideas" Group===

[http://tuvalu.santafe.edu/events/workshops/index.php/Christa_Brelsford Christa] [http://tuvalu.santafe.edu/events/workshops/index.php/Daniel_Wu Dan] [http://tuvalu.santafe.edu/events/workshops/index.php/Xin_Lu Xin] and Tom spent a while talking after dinner about a bunch of big ideas. Some things we thought about were *big data type network problems, *integrating qualitative social information with models of physical systems, *using games to understand cooperation and decision making.

=== 107 Proteins in 10-3 cubic meters ===
Cells rely on proteins to perform vital metabolic and signaling functions; however, it is unclear how proteins are successfully directed to their necessary cellular location(s) in a densely-packed macromolecular environment within the cytoplasm and on the cellular membrane in a short timescale (see for example [http://www.pnas.org/content/108/16/6438.full Weigel et al., PNAS 2011]). Using the cell as a manipulatable model of complexity, one could begin to define the parameters and questions, as they pertain to prokaryotic and eukaryotic cells. If interested, please drop me a line: Sepehr Ehsani; sepehr.ehsani[at]utoronto.ca.

=== Innovation and Technological Progress ===

I noticed that a number of people mentioned that they were interested in some way in relation to innovation. I was wondering if anyone was interested in a project looking at how particular technologies progress over time and whether charting the form of successful (and/or unsuccessful) previous technologies such as the transistor, fission reactor, mobile phone, etc. in terms of either price, efficiency, or some other variable may be useful in predicting whether a current technology such as solar PV, fuel cell, or something else is following a similar trajectory. Other possible ideas might be to look at using patent, publication, or collaboration network data to reveal certain features of innovation that are not captured by other statistics, particularly for technologies that have yet to reach the market. SFI Professor Doyne Farmer has looked at some of this already in 'The Role of Design Complexity in Technology Improvement', see link: http://adsabs.harvard.edu/abs/2009arXiv0907.0036M

This could be a jumping off point for some ideas on data, methods, models etc. Just throwing the idea out there and it's welcome to completely change but if you're interested, message me (Gareth Haslam) haslam@ias.unu.edu or find me in class.

=== Space, Stochasticity, Stability; Speciation? ===

[http://tuvalu.santafe.edu/events/workshops/index.php/Xue_Feng Xue], [http://tuvalu.santafe.edu/events/workshops/index.php/Chloe_Lewis Chloe] and [http://tuvalu.santafe.edu/events/workshops/index.php/Xiaoli_Dong Xiaoli]are all working in ecosystems that experience_ a lot of unpredictability in a limiting ecosystem variables (water and/or nutrients); we see patchiness in space and time in how organisms are arranged; and we have some ideas about how the stochasticity may cause the spatial arrangements. [http://tuvalu.santafe.edu/events/workshops/index.php/Si_Tang Si] is working on the stability and robustness of ecosystems.

With enough time, this is likely to involve speciation either to express different strategies, or as a result of spatial separation.

Find any of us walking-around, or meet in the cafeteria at 4:15 June 5th.

=== Plasticity in Neural Networks ===
I've done some modeling which shows that the amount of genetic variation that accumulates at any particular metabolic gene (enzyme) in a population at any given time is a function of the network topology in which the gene is embedded, as well as the distance of the network output from an optimum. So, for instance, in a linear metabolic network, enzymes at the beginning of a pathway will tend to be more constrained (show less variation in the population) then at the end of the pathway. This makes sense given that any changes in those first genes would ripple through the system and have a greater relative effect than mutations in later genes. However, this is only true when a population is already close to an optimum. When far from an optimum, we see the exact opposite trend with more variation in the front of the pathway. This also makes sense - when far from a goal, taking bigger steps gives individuals a better chance of achieving higher fitness. The system as a whole then uses the different relative step sizes according to pathway position to "fine tune" its output.
I think these findings are quite general - at least the model we used was simple enough that it could apply to many different types of directional developmental processes. We can conceptualize these "genes" more generally as sequential steps in a developmental process with some arbitrary goal. These could be steps in a factory assembly line, major product revisions versus minor releases, or (and this is my favorite), neurons learning about their environment. I'm curious what would happen if we took a similar approach to model neural networks. Genetic variation is the raw material for evolution while neural plasticity is the raw material for learning. The question we would be trying to answer is where, within a neural network, would we expect the most plasticity given a particular network topology and distance form a learning goal.
Please contact me if this sounds interesting.

Mark D. Longo

2012-06-05T04:59:22Z

LongoMark:

Hello everyone. I'm very much looking forward to meeting you all next week. A little about my academic background - I earned my undergraduate degree in foreign affairs from Georgetown University, a masters degree in organismal biology from the University of Colorado, and am currently a 4th year PhD student in evolutionary biology at Stanford (by way of a long stint working at a healthcare software company). I think the following blurb pretty well summarizes my current interests and goals. I'm brewing up some ideas for neural network models as a project while at the SFI summer school.

"My research crosses the boundaries of evolutionary biology, cognitive science, complexity theory, and philosophy. Inspired by neural network models of learning, I am studying how sets of genes evolve together as integrated systems. In the course of this research, I have been struck by similarities between evolutionary processes and mechanisms of learning displayed by brains. I am exploring these similarities further in pursuit of a modern, network-based conception of evolutionary genetics, which I will explicate in my forthcoming book, The Genetic Mind: Genes as Learning Networks."

In my spare time I like to play music, enjoy nature, and write.

Mark D. Longo

2012-06-05T04:59:03Z

LongoMark:

Alfred Hubler's Nonlinear Dynamics Lab 2012

2012-06-04T16:46:49Z

LongoMark: /* Tuesday, June 12, 6:00pm */

{{Complex Systems Summer School 2012}}

==Thursday, June 7, 6:00pm==

1. Sarah Tweedt 
2. Georg F. Weber 
3. Georg M. Goerg 
4. Cameron Smith 
5. Mikkel Vestergaard 
6. Friederike Greb 
7. Fabio Cresto Aleina 
8. Benji zusman 
9. Elena del Val 
10.Riccardo Fusaroli 
11. Nick Allgaier 
12.John Long 
13. Sepehr Ehsani 
14. David Pugh 
15.Keegan Hines 
16.Sanith 

==Friday, June 8 7:00am==
PLEASE NOTE THAT THIS IS AN EARLY MORNING CLASS! 
1. Matteo Chinazzi 
2. Nona Karalashvili 
3. 
4. 
5. 
6. 
7. 
8. 
9. 
10. 
11. 
12. 
13. 
14. 
15. 

==Monday, June 11, 6:00pm==
1. Hidetoshi Inamine 
2. Dan Wu 
3. Xiaoli Dong 
4. Si Tang 
5. Abby Horn 
6. Xue Feng 
7. Priya Subramanian 
8. Oscar Patterson 
9. Vanessa Ferdinand 
10.Tom Fennewald 
11.Jianfeng Xu 
12.Nicolas Goudemand 
13. 
14. 
15. 

==Tuesday, June 12, 6:00pm==
1. Marco Duenas

2. Jasmeen Kanwal 
3. shawana Wilson 
4. Miguel Lurgi 
5.Vikram Vijayaraghavan 
6.Mark Longo 
7. 
8. 
9. 
10. 
11. 
12. 
13. 
14. 
15.

Alfred Hubler's Nonlinear Dynamics Lab 2012

2012-06-04T16:46:33Z

LongoMark: /* Tuesday, June 12, 6:00pm */

{{Complex Systems Summer School 2012}}

==Thursday, June 7, 6:00pm==

1. Sarah Tweedt 
2. Georg F. Weber 
3. Georg M. Goerg 
4. Cameron Smith 
5. Mikkel Vestergaard 
6. Friederike Greb 
7. Fabio Cresto Aleina 
8. Benji zusman 
9. Elena del Val 
10.Riccardo Fusaroli 
11. Nick Allgaier 
12.John Long 
13. Sepehr Ehsani 
14. David Pugh 
15.Keegan Hines 
16.Sanith 

==Friday, June 8 7:00am==
PLEASE NOTE THAT THIS IS AN EARLY MORNING CLASS! 
1. Matteo Chinazzi 
2. Nona Karalashvili 
3. 
4. 
5. 
6. 
7. 
8. 
9. 
10. 
11. 
12. 
13. 
14. 
15. 

==Monday, June 11, 6:00pm==
1. Hidetoshi Inamine 
2. Dan Wu 
3. Xiaoli Dong 
4. Si Tang 
5. Abby Horn 
6. Xue Feng 
7. Priya Subramanian 
8. Oscar Patterson 
9. Vanessa Ferdinand 
10.Tom Fennewald 
11.Jianfeng Xu 
12.Nicolas Goudemand 
13. 
14. 
15. 

==Tuesday, June 12, 6:00pm==
1. Marco Duenas

2. Jasmeen Kanwal 
3. shawana Wilson 
4. Miguel Lurgi 
5.Vikram Vijayaraghavan 
6.Mark Longo
7. 
8. 
9. 
10. 
11. 
12. 
13. 
14. 
15.

Mark D. Longo

2012-05-30T22:09:35Z

LongoMark:

Mark D. Longo

2012-05-30T22:09:25Z

LongoMark:

Mark D. Longo

2012-05-30T22:08:50Z

LongoMark: Created page with 'Hello everyone. I'm very much looking forward to meeting you all next week. A little about my academic background - I earned my undergraduate degree in foreign affairs from Georg…'

Hello everyone. I'm very much looking forward to meeting you all next week. A little about my academic background - I earned my undergraduate degree in foreign affairs from Georgetown University, a masters degree in organismal biology from the University of Colorado, and am currently a 4th year PhD student in evolutionary biology at Stanford (by way of a long stint working at a healthcare software company). I think the following blurb pretty well summarizes my current interests and goals. I'm brewing up some ideas for neural network models as a project while at the SFI summer school.

Mark D. Longo
"My research crosses the boundaries of evolutionary biology, cognitive science, complexity theory, and philosophy. Inspired by neural network models of learning, I am studying how sets of genes evolve together as integrated systems. In the course of this research, I have been struck by similarities between evolutionary processes and mechanisms of learning displayed by brains. I am exploring these similarities further in pursuit of a modern, network-based conception of evolutionary genetics, which I will explicate in my forthcoming book, The Genetic Mind: Genes as Learning Networks."

In my spare time I like to play music, ponder the wonders of nature, and write.