Co-led by Professor Deborah A. Sunter
Professor Sunter is an Assistant Professor of Mechanical Engineering, School of Engineering, Tufts University
The natural-human world is characterized by highly interconnected systems, in which a single discipline is not equipped to identify broader signs of systemic risk and mitigation targets. For example, what risks in agriculture, ecology, energy, finance and hydrology are heightened by climate variability and change? Recent advances in computing and data science, and the data revolution in each of these domains have now provided a means to address such questions. The Predictive Risk Investigation System for Multilayer Dynamic Interconnection Analysis (PRISM),
co-led by Deborah A. Sunter, assistant professor of mechanical engineering, integrates large-scale, multi-resolution, dynamic data across different domains to improve the prediction of risks (potentials for extreme outcomes and system failures). PRISM develops a trans-domain framework that harnesses big data in the context of domain expertise to discover new critical risk indicators, holistically identify their interconnections, predict future risks and spillover potential, and to measure systemic risk broadly. Working with stakeholders, PRISM creates early warnings and targets for critical risk mitigation and improves preparedness for devastating events worldwide. This project is part of the National Science Foundation’s Harnessing the Data Revolution (HDR) Big Idea activity.
Link to NSF award: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1940176&HistoricalAwards=false
Link to project website: https://sites.google.com/view/prism-prj