Toolbox for Evolutionary Game Theory.

Code for "Nonlinear, Natural, and Noisy: A Quantitative Approach to the Collection and Analysis of Real-World Social Behavior" (Chiovaro & Paxton, under review).

Simulations of flocking behaviour in active agents, using a simple Viscek model

Spreading Processes on Networks

The Friction-Flow framework aims to analyze and track narrative field dynamics in complex social systems, emphasizing the evolution, interaction, and influence of stories.

A multi-agent (LLMs) jury deliberation simulation system.

Q state Voter model in N-dimensional regular networks (N-dimensional lattice) and complex networks (Albert-Barabasi and Erdos-Renyi).

This repository contains all the code and resources accompanying the paper titled "Messengers: Breaking Echo Chambers in Collective Opinion Dynamics with Homophily"

An interactive Jupyter simulator for COSA and studying nonlinear consensus in multi-agent systems.

Voter model in N-dimensional regular networks (N-dimensional lattice) and complex networks (Albert-Barabasi and Erdos-Renyi)

The purpose was to study the mood of respondents, what are the predictors of mood among students with different personality types and how do these predictors vary between different time diaries.

A web-based simulation of human behavior using distinct agent types (Leaders, Influencers, Rebels, Observers) with evolving emotions. Explore social dynamics by adjusting parameters like influence and rebellion. Features AI-powered analysis via Google Gemini API to interpret collective trends and emotional shifts.

Multi-modal system analyzing social media, news, art, and music to predict emerging cultural movements and artistic trends years before they mainstream.

Spatial MultiAgent RL for Epidemic Control with Heterogeneous Risk Preferences

Continuous-time noisy voter model

Cross-domain predictive modeling: Monte Carlo + Tails/Markov/HOMER hybrids for physics, finance, social dynamics. Implements 3 predictive pairs from arXiv paper with 2-4x FOM gains: • MoP-Tails: heavy-tail risk (finance crashes) • MCMC-HOMER: energy optimization • HMC-PDMP: physics/social cascades Live Jupyter demos • MIT License • Chicago rese

Matplotlib based simulation of crowd dynamics reproducing the "Understanding how a group of people splits" paper.

Gamified version of a referential communication task described in https://doi.org/10.1044/2018_JSLHR-H-18-0107

Minimal network simulation of text-mediated social self-excitation and synchrony.

Will small variations lead to diverse conversational outcomes? An experiment with conversational agents.