CSSS 2010 Santa Fe-Readings

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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

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Tanmoy Bhattacharya

Inference in Historical Processes

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Liz Bradley

• Numerical Solution of Differential Equations
  
• Time Series Analysis
• File:BradleySlides2010.pdf
• File:BradleySyllabus2010.pdf

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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

• Summer School readings.

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Iain Couzin

• Complexity. An Informative Itinerary
• Collective Cognition in Animal Groups
• Collective Motion and Cannibalism in Locust Migratory Bands
• Collective Minds
• Effective Leadership and Decision-Making in Animal Groups on the Move

Lecture Slides
Iain's Lecture Slides

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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/ )

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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.

• NetLogo CSSS Self-Paced Tutorial

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Peter Dodds

• Lectures on complex networks + links to further reading.

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Nathan Eagle

• Lecture 1
• Lecture 2

Doug Erwin

• Evolution
• Niche Construction & Diversity
• Modeling Biodiversity

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Duncan Foley

• Labor, Capital and Land in the New Economy
• Economic Complexity and Dynamics in Interactive Systems
• Hyman Minsky and the Dilemmas of Contemporary Economic Method
• Lecture 1
• Lecture 2

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Laura Fortunato

• Complex Systems in Anthropology

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Greg Leibon

• Lecture 1 notes
• Lecture 2 note
• Lecture 3 note
• Lecture 1 slides
• Lecture 2 slides
• Lecture 3 slides
• Markov Chains In A Shoebox
• Conformal Geometry of Markov Chains

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John Harte

• Maximum Entropy and the State-Variable Approach to Macroecology
• Biodiversity Scaling

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Jure Leskovec

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

• Kronecker Graphs
• Microscopic Evolution of Social Networks
• Community Structure in Large Networks

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

• Meme Tracking & News Cycle Dynamics
• Maximizing the Spread of Influence through a Social Network
• Outbreak Detection in Social Networks
• 2004 Election Political Blogger Networks

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

• Trust & Distrust
• Signed Networks & Social Media:
• Predicting Postive & Negative Links in Online Social Networks
• Governance in Social Media

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Cosma Shalizi

• Quantifying Self-Organization with Optimal Predictors
  
• Methods and Techniques of Complex Systems Science: An Overview
  
• Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences
  
• Automatic Filters for the Detection of Coherent Structure in Spatiotemporal Systems
  
• Computational Mechanics: Pattern and Prediction, Structure and Simplicity
  
• The Computational Structure of Spike Trains
  
• Discovering Functional Communities in Dynamical Networks
  
• Measuring Shared Information and Coordinated Activity in Neuronal Networks
  
• Optimal Nonlinear Prediction of Random Fields on Networks

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

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CSSS lecture slides:

• Information theory
  
• Optimal prediction
  
• Quantitative complex measures

Bill Croft, Ian Maddieson, Eric Smith

• Evolutionary Linguistics, I

• Evolutionary Linguistics, II

• Opportunities in quantitative historical linguistics

• Typological patterns in language and their relation to linguistic history

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Alfred Hübler

Username/Pass: guest/guest

• Physics 194 notes
• PHYCS510 UIUC notes

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Scott Pauls

• Lecture on using the PDM on voting data (.pptx).
• Lecture(.PPT Version)
• Google Docs version for us non-powerpoint people.
• Code package.