Combining Network, Data, and Computational Sciences to Improve Health Decision Making

This workshop introduces participants to the convergence of data, network, and computational sciences for improving decision and policy making in diverse public health and healthcare contexts. Using big data, it covers how network analysis, machine learning, statistical learning, AI, algorithm design, data mining, optimization techniques, mathematical modeling, statistical mechanics, information visualization, inferential modeling, and computation, in various combinations, can contribute to more effective decision making in various health contexts.