Challenge Project
Collaborative Intelligent Systems
Understanding collaborative behavior across species, contexts, and scales
Tools for understanding and reasoning about complex, multi-agent, real-world dynamical systems using multimodal animal behavior data.
Overview
Collaborative Intelligent Systems studies how intelligent behavior emerges in groups and ecosystems. The project develops computational tools for reasoning about collaborative behavior across species, contexts, and scales.
The work integrates knowledge across neuroscience, behavior, statistics, machine learning, and dynamical systems, with an emphasis on open-source tools that help scientists and other decision-makers reason about collaborative systems.
Applications
Current work includes high-resolution behavioral recordings and models of group foraging behavior, with broader applications to multi-agent systems and collaborative dynamics.