We develop computational simulations that explain what motivates human behavior and forecast the effects of public policies on communities.
Our team integrates diverse research perspectives. We're cognitive, behavioral and social scientists, along with epidemiologists, data analysts, statisticians, biochemists and software engineers. Working collaboratively, we pool our capabilities and theoretical knowledge to tackle stubborn and evolving issues in the world, from contagion of behaviors and diseases to disruptions in resource distribution and ecosystems.
Our Areas of Focus
We apply our computational modeling tools and combined expertise to tackle a broad swath of issues affecting human life – from improving disaster resiliency in city infrastructures to identifying previously unknown organisms in our environments and bodies.
We analyze how multitudes of networks – from social media to transportation – interact in society and devise methods to transform these processes.
We develop tools to distill vast medical and ecological data and share them with research scientists, healthcare professionals and policymakers.
By computing predictive models, we provide public-health policymakers with data and analysis to identify and respond to epidemics.
Modeling for COVID-19
We've modeled several epidemics in the past 20 years, including H1N1 and Ebola. Today, collaborating with researchers from across the Institute and the University of Virginia, we're modeling scenarios to help governments and the global research community understand and mitigate the spread of COVID-19.
We develop tools such as dashboards and data sets that we make available to researchers, academics, policymakers and the public.