All Papers

Methodological advances in computational approaches to complexity science.

Scalable Agent-Based Modeling

Scalable Agent-Based Modeling

ANL • 2024

High-performance computing methods for large-scale agent-based simulations.

Materials:

Machine Learning for Complex Systems

Machine Learning for Complex Systems

Stanford • 2024

Using ML to discover patterns and predict dynamics in complex systems.

Materials:

Network Analysis at Scale

Network Analysis at Scale

MIT • 2023

Computational tools for analyzing large-scale economic and social networks.

Materials: