projects | Cornell Computational Cognition Lab (In Progress)

Our projects combine computational modeling, large-scale experimentation, cultural datasets, and fieldwork to understand how perception and cognition are shaped by experience, culture, and social interaction.

collective intelligence

Feedback systems and control

Studying how feedback, incentives, and control structures shape collective outcomes.

Gibbs sampling with people

Using collective human behavior to implement probabilistic inference and generative modeling.

Experimenting with governance in virtual worlds

Studying how institutional design shapes coordination, efficiency, and fairness in collective systems.

Distributions of power

How distributions of decision power shape group social contracts, efficiency, fairness, and well-being.

human-ai

PsyNet: the online human behavior lab of the future

A scalable, open platform for high-powered, interactive, and cross-cultural behavioral experiments.

Human–AI collaboration via vibe coding

Studying how humans and AI coordinate through iterative, natural-language-driven coding workflows.

developmental

Scaling developmental science with PsyNet

Building tools and paradigms to run high-powered, cross-cultural developmental experiments online.

High-precision online sensorimotor synchronization

A robust cross-platform solution for studying timing and coordination in large-scale online experiments.

cultural evolution

Collective creativity of melodies and images

How creative products emerge when many individuals iteratively generate, rate, and modify cultural artifacts.

Cross-cultural perception

Understanding how culture and experience shape perceptual representations across populations.

Iterated singing and cultural transmission

Tracing how musical structure emerges through repeated learning and reproduction.

Herd behavior and cultural niche construction

How popularity signals shape innovation, diversity, and long-term cultural trajectories.