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Climate change is expected to alter the geographical range, severity, and dynamics of infectious diseases. The existing body of research on pathogen dynamics and climate change largely focuses on environmentally transmitted, vector-borne, and zoonotic pathogens, the exposure to which is immediately tied to climate. However, climate change will have profound effects on human behavior, suggesting that there may be substantial downstream effects on directly transmitted infections, including sexually transmitted infections (STIs). This project will investigate study the regional effects on an epidemiological system, as mediated by adaptive (and other) human responses to changing environmental, economic, and social conditions, in the context of unexpected and potentially cascading consequences of global climate change.
This is a book project exploring rationality, uncertainty, and the evolution of human behavior. It takes as its launching point a paradox which has only recently become apparent. By almost any measure, Homo sapiens is a spectacularly successful species. From humble origins approximately two million years ago, humans have grown to a population that exceeds seven billion and have colonized – and come to dominate – nearly every terrestrial biome. This phenomenal growth suggests that, on average, our ancestors made very good decisions. Yet a surging tide of work from psychology and economics makes the argument that the decision-making software that our brains run is profoundly flawed — that we are, in a word, irrational. How is it possible that a species apparently so defective in its ability to generate sound decisions can be so spectacularly successful?
The goal of this project is to investigate the individual and family-level decisions that lead to emergent patterns of kin coresidence among Hadza hunter-gatherers of northern Tanzania.
Using relational data gathered from a variety of field contexts (Uganda, Bangladesh, Namibia), we are investigating the properties of sampled social networks, with an eye toward infectious disease transmission dynamics. Topics include: scale-up to landscape-level networks from egocentric samples, missing data models, and integrating spatial and relational dependencies.
The goal of this project is to understand the early evolution of HIV-1 using red colobus monkey metapopulations in the Kibale Forest, Uganda.
Kibale National Park, Uganda
The goal of this project is to develop models of spillover and transmission dynamics of avian influenza in a variety of localities where it is endemic in wild waterfowl.
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