Co-Chairs : Jong Lee(NCSA), and Jana Diesner(GSLIS)
Initial participants : Jon Gant(GSLIS), Nora El-Gohary and Joshua Peschel(CEE), Mei-Po Kwan and Shaowen Wang(Geography), and Scott Poole(Communications)
Big Data algorithms and cyberinfrastructure (CI) that provide insights on urban grand challenges from heterogeneous data and models.
What methods and computational solutions can best address Big Data challenges of variety, volume, and velocity, as well as spatiotemporal integration?
How can technology be used to better define, measure, and advance urban sustainability and resilience?
What types of visualizations of scientific findings would best enable informed decision making by diverse stakeholders?
What types and scales of computational models are most accurate in predicting behavior of “systems of systems” in urban settings?