CSSS 2009 Santa Fe-Project Presentations

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The Impact of Gender Imbalance on Marriage Markets

The basic concept is to try to model the effects of "marriage markets" with more men in them than women or vice-versa. Examples of social groups which experience a gender imbalances in marriage markets include: most religious groups, college campuses, some large cities (such as New York and Washington, DC), the African-American community, and some nations (notably China). Brian Hollar

Team: Dave Brooks, Wendy Ham, Nathan Hodas, Brian Hollar, Liliana Salvador, and Guimei Zhu

• Presentation
• NetLogo Model (Coming soon)

Agent-based modeling of fluidic self-assembly

I am building a home-made agent-based physical simulator of fluidic self-assembly for micro/nanoelectronical devices. Both 2D and 3D settings are presented. The proposed framework may constitute the first step in the introduction of this new approach to this emerging and challenging electronic manufacturing technique. - Massimo Mastrangeli

• Presentation
• NetLogo Code for 2D and 3D environment

The roundtable: segregation in conversation dynamics

The goal of this project is to build a simple (but not too simple) model of realistic social conversation dynamics. Abstracting from semantics and contents, our baseline model includes balance of protagonism vs. aggregation for each fellow, individuality, connection topology and memory effects. Ultimately we would model the dynamics of cocktail party conversations. - Massimo Mastrangeli, Martin Schmidt, Lucas Lacasa

• Presentation
• NetLogo code

A matching model of problems and solutions

We are building a NetLogo model to represent the mechanisms in which problems and solutions search for and find each other. David Brooks, Wendy Ham, Nathan Hodas, Brian Hollar, and Liliana Salvador

• Presentation
• NetLogo code

Determining spatial contact networks for pathogen transmission

We have weekly measles outbreak reports from 60 urban cities in England and Wales dating from 1944 to 1967. It appears that several cities may act as pathogen sources from which the disease spreads to surrounding cities. We plan to reconstruct this spatial contact network for the measles data and, in doing so, introduce a method for inferring such networks for other disease outbreaks. - Sasha Mikheyev, Kate Behrman, Erin Taylor

• Presentation
• Google motion chart of measles data (sheet "MeaslesOutbreaks") [1]

Foraging on the Move

Summary:In this project we develop a model for organisms that forage in groups while migrating (e.g. caribou, wildebeest), to understand how individuals should balance foraging and flocking behaviors. (Final Presentation)

Members (Group Page): Allison Shaw, Andrew Berdahl, Kate Behrman, Liliana Salvador, Steven Lade

The Effect of Gossip on Social Networks

Summary: In this project we look at the effects of the spread of gossip (defined as information passed between two individuals A and B about an individual C who is not present) on social network structure. (Final Presentation)

Members (Group Page): Allison Shaw, Chang Yu, David Brooks, Milena Tsvetkova, Roozbeh Daneshvar

Terrorist Networks: Radicalization Mechanisms and Spread Control

Members Alhaji Cherif, Hiro Yoshioka, Prasanta Bose, and Wei Ni

Final Presentation

1,2,3, language! Building the phylogenetic tree of language with numbers

Members Andrew Berdahl, Lucas Lacasa

Final Presentation

Percolation in Google

Members Andrew Berdahl, Lucas Lacasa, Jacopo Tagliabue

Final Presentation

Deconstructing CSSS09 Social Network

CSSS09 is a group of people interested in complex systems who are randomly chosen to attend the one month summer school. The international and interdisciplinary group spends four weeks together learning, discussing and working on projects related to complex systems. We are analyzing the social interaction of this network and the network change over time.

Members Margreth Keiler, Murad Mithani, Roozbeh Daneshvar, Wendy Ham

Final Presentation

Water: A critical resource in a dynamical world

The objective of the project is to model the coupled human-water systems using heterogeneous agents employing prediction models to determine actions to represent the non-linear behaviour of economic and political systems and water processes. We work on an agent-based-model focusing on interactions and feedback loops of hydrologic and human systems to gain more insight of the dynamic of this coupled system.

Members Hamid Benbrahim, Jennifer Terpstra, Karen Simpson, Margreth Keiler, Greta

Final Presentation