The Human Complexity Lab explores the social and environmental dynamics of farming and foraging societies, past and present.
- Sustainable livelihoods
- Complex adaptive systems
- Coupled human-natural systems
- Shared resources & local governance
We use methods from range of fields, but with a focus on applying computational methods
- Ethnographic methods and fieldwork (Belize)
- Landscape ecology & drone-based multi-spectral remote sensing
- Computational, agent-based, and statistical modeling
- Social networks analysis
- Bayesian statistics
The lab is currently recruiting Ph.D. students interested in developing dissertation on aspects of the topics above, and a post-doctoral scholar.