Data Science for the Common Good
The Data, Inference, Analytics, and Learning (DIAL) Lab at the University of Notre Dame focuses on a diverse set of problems in data and network science with the broader mission of social good. DIAL is closely affiliated with the Interdisciplinary Center for Network Science and Applications (iCeNSA), an interdisciplinary university research center organized around network science problems in social, biological, biochemical, physical, environmental, financial, organizational, technical, and defense systems.
Our fundamental work in data and network science includes imbalanced classification, cost-sensitive learning, evaluation issues, streaming data, complex networks, graph mining, and parallel and distributed data mining. We work on a broad range of applications including social networks, healthcare analytics and informatics, systems biology, education and learning analytics, and climate and environmental science.
Our research is generously supported by the National Science Foundation (NSF), DARPA, U.S. Army Research Laboratory (ARL), Department of Energy (DOE), Department of Defense (DOD), National Institute of Justice (NIJ), Memorial Hospital of South Bend, and several industry sponsors.