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CSSS 2010 Santa Fe-Readings: Difference between revisions

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===Alfred Hübler===
===Alfred Hübler===


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* [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]

Revision as of 17:07, 18 June 2010

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" --

more advanced --

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


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:

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

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


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


Scott Pauls