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*[http://webscript.princeton.edu/%7Eicouzin/website/wp-content/plugins/bib2html/data/papers/couzin07.pdf Collective Minds]
*[http://webscript.princeton.edu/%7Eicouzin/website/wp-content/plugins/bib2html/data/papers/couzin07.pdf Collective Minds]
*[http://webscript.princeton.edu/%7Eicouzin/website/wp-content/uploads/2010/05/couzin05.pdf Effective Leadership and Decision-Making in Animal Groups on the Move]
*[http://webscript.princeton.edu/%7Eicouzin/website/wp-content/uploads/2010/05/couzin05.pdf Effective Leadership and Decision-Making in Animal Groups on the Move]
Lecture Slides<br>
[[Media:Couzin SFI 2010.pdf | Iain's Lecture Slides]]
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===Simon DeDeo===
===Simon DeDeo===


For the two lectures on "Physics of Reasoning" --
For the two lectures on "Physics of Reasoning" -- all the papers, as well as scans of the notes, are available at [http://tuvalu.santafe.edu/~simon/page6/page6.html this page]. Feel free to e-mail me at simon@santafe.edu
*[http://adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1957PhRv..106..620J&link_type=EJOURNAL E.T. Jaynes, ''Information Theory and Statistical Mechanics I.'']
*[http://adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006q.bio....11072T&link_type=ABSTRACT Gasper, Schneidman, Berry & Bialek, ''Ising models for networks of real neurons'']
*[http://adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1986JSP....42..647R&link_type=ABSTRACT Reiss, Hammerich & Montroll, ''Thermodynamic treatment of nonphysical systems''] -- the [http://santafe.edu/~simon/Reiss_1986_SFI.pdf off-site fulltext] is available.
more advanced --
*[http://library.unm.edu/search~S4/?searchtype=t&searcharg=spin+glasses+and+biology&searchscope=4&SORT=D&extended=1&SUBMIT=Search&searchlimits=&searchorigarg=tspin+glasses+biology ''Spin Glasses and Biology'' (ed. Daniel Stein)] (available at SFI library)
*[http://adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004PhRvE..70f6117P&link_type=ABSTRACT Park & Newman, ''Statistical Mechanics of Networks'']
*[http://adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004MNRAS.351L..49L&link_type=ABSTRACT A.R. Liddle, ''How many cosmological parameters?'']


If you only have time to read one, read Jaynes! If you are unable to access any of these articles, feel free to e-mail me at simon@santafe.edu
(simon's blog page with more tasty links is at http://tuvalu.santafe.edu/~simon/ )
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* [[Media:Albin-FoleyIntro.pdf‎|Economic Complexity and Dynamics in Interactive Systems]]
* [[Media:Albin-FoleyIntro.pdf‎|Economic Complexity and Dynamics in Interactive Systems]]
* [[Media:Minsky.pdf|Hyman Minsky and the Dilemmas of Contemporary Economic Method]]
* [[Media:Minsky.pdf|Hyman Minsky and the Dilemmas of Contemporary Economic Method]]
* [[Media:CSSS2010-DF1.pdf|Lecture 1]]
* [[Media:CSSS2010-DF2.pdf|Lecture 2]]
----
----


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===Greg Leibon===
===Greg Leibon===


* [[Media:CSSS10Pickle.pdf | Lecture one notes]]
* [[Media:CSSS10Pickle.pdf | Lecture 1 notes]]
* [[Media:CSSS10Pickle(Slides).pdf| Lecture one slides]]
* [[Media:CSSS10Boundary.pdf | Lecture 2 note]]
* [[Media:CSSS01Quantum.pdf | Lecture 3 note]]
* [[Media:CSSS10Pickle(Slides).pdf | Lecture 1 slides]]
* [[Media:CSSS10Boundary(Slides).pdf | Lecture 2 slides]]
* [[Media:CSSS10Quantum(Slides).pdf | Lecture 3 slides]]
* [[Media:shoe.pdf | Markov Chains In A Shoebox]]
* [[Media:shoe.pdf | Markov Chains In A Shoebox]]
* [[Media:pickle.pdf | Conformal Geometry of Markov Chains]]
* [[Media:pickle.pdf | Conformal Geometry of Markov Chains]]
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===Jure Leskovec===
===Jure Leskovec===
1) -- models and link prediction in large social networks:
1) -- models and link prediction in large social networks:
 
[http://i.stanford.edu/~jure/pub/csss/kronecker-CSSS-jun10.pdf Lecture Slides]
* [http://cs.stanford.edu/people/jure/pubs/kronecker-jmlr10.pdf Kronecker Graphs]
* [http://cs.stanford.edu/people/jure/pubs/kronecker-jmlr10.pdf Kronecker Graphs]
* [http://cs.stanford.edu/people/jure/pubs/microEvol-kdd08.pdf Microscopic Evolution of Social Networks ]
* [http://cs.stanford.edu/people/jure/pubs/microEvol-kdd08.pdf Microscopic Evolution of Social Networks ]
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2) -- tracking information diffusion, finding influencers and
2) -- tracking information diffusion, finding influencers and
detecting disease outbreaks in networks
detecting disease outbreaks in networks
[http://i.stanford.edu/~jure/pub/csss/memetracker-CSSS-jun10.pdf Lecture Slides]
* [http://cs.stanford.edu/people/jure/pubs/quotes-kdd09.pdf Meme Tracking & News Cycle Dynamics]
* [http://cs.stanford.edu/people/jure/pubs/quotes-kdd09.pdf Meme Tracking & News Cycle Dynamics]
* [http://www.cs.cornell.edu/home/kleinber/kdd03-inf.pdf Maximizing the Spread of Influence through a Social Network]
* [http://www.cs.cornell.edu/home/kleinber/kdd03-inf.pdf Maximizing the Spread of Influence through a Social Network]
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3) -- models of networks with positive and negative ties
3) -- models of networks with positive and negative ties
[http://i.stanford.edu/~jure/pub/csss/signedNets-CSSS-jun10.pdf Lecture Slides]
* [http://www.iw3c2.org/WWW2004/docs/1p403.pdf Trust & Distrust]
* [http://www.iw3c2.org/WWW2004/docs/1p403.pdf Trust & Distrust]
* [http://cs.stanford.edu/people/jure/pubs/triads-chi10.pdf Signed Networks & Social Media:]
* [http://cs.stanford.edu/people/jure/pubs/triads-chi10.pdf Signed Networks & Social Media:]
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===Cosma Shalizi===
===Cosma Shalizi===
Adaptation and Self-Organizing Systems<br>
* [http://arxiv.org/abs/nlin.AO/0409024 Quantifying Self-Organization with Optimal Predictors]<br>
* [http://arxiv.org/abs/nlin.AO/0409024 Quantifying Self-Organization with Optimal Predictors]<br>
* [http://arxiv.org/abs/nlin.AO/0307015 Methods and Techniques of Complex Systems Science: An Overview]<br>
* [http://arxiv.org/abs/nlin.AO/0307015 Methods and Techniques of Complex Systems Science: An Overview]<br>
Artificial Intelligence<br>
* [http://arxiv.org/abs/cs.LG/0406011 Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences]<br>
* [http://arxiv.org/abs/cs.LG/0406011 Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences]<br>
Cellular Automata and Lattice Gases<br>
* [http://arxiv.org/abs/nlin.CG/0508001 Automatic Filters for the Detection of Coherent Structure in Spatiotemporal Systems]<br>
* [http://arxiv.org/abs/nlin.CG/0508001 Automatic Filters for the Detection of Coherent Structure in Spatiotemporal Systems]<br>
Statistical/Computational Mechanics<br>
* [http://arxiv.org/abs/cond-mat/9907176 Computational Mechanics: Pattern and Prediction, Structure and Simplicity]<br>
* [http://arxiv.org/abs/cond-mat/9907176 Statistical Mechanics/Computational Mechanics: Pattern and Prediction, Structure and Simplicity]<br>
Neurons and Cognition<br>  
* [http://arxiv.org/abs/1001.0036 The Computational Structure of Spike Trains]<br>
* [http://arxiv.org/abs/1001.0036 The Computational Structure of Spike Trains]<br>
* [http://arxiv.org/abs/q-bio.NC/0609008 Discovering Functional Communities in Dynamical Networks]<br>
* [http://arxiv.org/abs/q-bio.NC/0609008 Discovering Functional Communities in Dynamical Networks]<br>
* [http://arxiv.org/abs/q-bio.NC/0506009 Measuring Shared Information and Coordinated Activity in Neuronal Networks]<br>
* [http://arxiv.org/abs/q-bio.NC/0506009 Measuring Shared Information and Coordinated Activity in Neuronal Networks]<br>
Probability<br>
* [http://arxiv.org/abs/math.PR/0305160 Optimal Nonlinear Prediction of Random Fields on Networks]
* [http://arxiv.org/abs/math.PR/0305160 Optimal Nonlinear Prediction of Random Fields on Networks]
--------
--------
[http://www.stat.cmu.edu/~cshalizi/350/ Data mining and statistical learning lecture notes]<br>
[http://www.stat.cmu.edu/~cshalizi/462/ Chaos, complexity and inference lecture notes]
--------
CSSS lecture slides:
* [[Media:2010-06-15-info-theory.pdf|Information theory]]<br>
* [[Media:2010-06-15-optimal-prediction.pdf|Optimal prediction]]<br>
* [[Media:2010-06-16-complexity.pdf|Quantitative complex measures]]
=== Bill Croft, Ian Maddieson, Eric Smith===
* [[Media:Croft2008ARA.pdf‎|Evolutionary Linguistics, I]]
* [[Media:Croft_comp_lang.pdf‎|Evolutionary Linguistics, II]]
* [[Media:Smith_comp_lang.pdf‎ | Opportunities in quantitative historical linguistics]]
* [[Media:Maddieson_comp_lang.pdf‎|Typological patterns in language and their relation to linguistic history]]


===Eric Smith===
* [[Media:Croft2008ARA.pdf‎|Evolutionary Linguistics]]
----
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===Alfred Hübler===
===Alfred Hübler===
Username/Pass: guest/guest
* [http://www.how-why.com/cgi-bin/cyberprof/os.exe?document=http://www.how-why.com/phys194/Notes/index.html Physics 194 notes]
* [http://www.how-why.com/cgi-bin/cyberprof/os.exe?document=http://www.how-why.com/phys194/Notes/index.html Physics 194 notes]
* [http://www.how-why.com/cgi-bin/cyberprof/os.exe?home=&document=http://www.how-why.com/ph510/Notes/index.html PHYCS510 UIUC notes]
* [http://www.how-why.com/cgi-bin/cyberprof/os.exe?home=&document=http://www.how-why.com/ph510/Notes/index.html PHYCS510 UIUC notes]
----
===David Krakauer===
* [[Media:Krakauer1.pdf | Lecture 1]]
* [[Media:Krakauer2.pdf | Lecture 2]]
----
===Scott Pauls===
* [[Media:CSSS10-PDM.pptx | Lecture]] on using the PDM on voting data (.pptx). 
* [[Media:LecturePPT.ppt | Lecture(.PPT Version)]]
* [https://docs.google.com/present/edit?id=0AZp-h8X5w1pVZGRuZHgzcXRfMjU0YzJkeHMyY2I&hl=en Google Docs version] for us non-powerpoint people.
* [http://www.math.dartmouth.edu/~pauls/PDM_Toolkit.zip Code package].
----
===Murray Gell-Mann===
* [[Media:MGM_134.pdf | Effective Complexity]]
* [[Media:Northwestern.ppt | Lecture]]

Latest revision as of 03:53, 28 April 2011

CSSS Santa Fe 2010

Please review readings before lectures. Supplemental material may be posted as well.

Background Readings

Please see the Background Readings page for assignments.

Dan Rockmore

Dan's Intro Lecture
Draft intro to stat learning primer


Tanmoy Bhattacharya

Inference in Historical Processes


Liz Bradley


Tom Carter

Here is a link to a page with various background readings -- I'll be talking about some of this material, watch the wiki for days/times


Iain Couzin

Lecture Slides
Iain's Lecture Slides


Simon DeDeo

For the two lectures on "Physics of Reasoning" -- all the papers, as well as scans of the notes, are available at this page. Feel free to e-mail me at simon@santafe.edu

(simon's blog page with more tasty links is at http://tuvalu.santafe.edu/~simon/ )


Owen Densmore

Steve Guerin and I will present modeling with NetLogo. It will have two parts, one a self-paced wiki tutorial, the second a set of real world examples of modeling we've used professionally.

Read the first page of the tutorial. Then (attempt!) to download, install, and look at the Model Library.


Peter Dodds


Nathan Eagle


Doug Erwin


Duncan Foley


Laura Fortunato


Greg Leibon


John Harte


Jure Leskovec

1) -- models and link prediction in large social networks: Lecture Slides

2) -- tracking information diffusion, finding influencers and detecting disease outbreaks in networks Lecture Slides

3) -- models of networks with positive and negative ties Lecture Slides


Cosma Shalizi


Data mining and statistical learning lecture notes
Chaos, complexity and inference lecture notes


CSSS lecture slides:

Bill Croft, Ian Maddieson, Eric Smith



Alfred Hübler

Username/Pass: guest/guest


David Krakauer


Scott Pauls


Murray Gell-Mann