By modeling complex social systems, we predict trends, estimate threats, inform policy, test potential solutions, and ascertain the expected impacts of a changing world. We simulate the patterns of culture and individuals that compose human society to advance our understanding of the present and envision the possibilities of the future.
Modeling Equity explores the effectiveness of policies aimed to address human factors such as Covid-19 vaccine hesitancy as well as a range of inequities, especially among populations comprising the bulk of essential workers. These complex systems come together a simulation designed to test strategies to accelerate equity based on race, sex, and gender.
Modeling Religious Change engages demographic analysis and forecasting, along with complex artificial societies for a detailed understanding of religious and nonreligious identity and change that takes into account behaviors such as religious switching, secularization, immigration, religious beliefs and practices.
Strategies Against Rural Suicide aims to build a computational model, incorporating psychological autopsy data along with the insights and expertise of local service providers and policy professionals to improve suicide prevention efforts, particularly in rural settings.
Tools Against Child Trafficking combines big data mining to measure, observe, and learn about trafficking in the real world, network analysis to identify intervention points, modeling and simulation to test the long-term consequences of different policies, and visualization of the child trafficking market system, which will help the public learn about this complex problem in an intuitive way.