$32 million NSF grants for improving prediction of, response to natural disasters
California San Diego
Additional collaborators: Michael Gollner, University of Maryland College Park
Hazards SEES Type 1: End-to-end development of time-dependent geo-targeted alerts and warnings enabled by dense observations of the 2011 Tohoku tsunami: Jean-Paul Ampuero, California Institute of Technology
Additional collaborators: Jeannette Sutton, U. of Colorado, Colorado Springs
Hazards SEES Type 2: From sensors to tweeters: A sustainable sociotechnical approach for detecting, mitigating, and building resilience to hazards: Louise Comfort, University of Pittsburgh
Additional collaborators: Kathleen Carley, Carnegie Mellon University; Emile Okal, Northwestern University; Lee Freitag, Woods Hole Oceanographic Institution
Hazards SEES Type 2: Dynamic integration of natural, human, and infrastructure systems for hurricane evacuation and sheltering: Rachel Davidson, University of Delaware
Additional collaborators: Linda Nozick, Cornell University; Brian Colle, Stony Brook University/SUNY; Brian Blanton, University of North Carolina Chapel Hill; Randall Kolar, University of Oklahoma
Hazard SEES Type 1: Real-time geospatial infrastructure modeling for disaster response and rapid recovery: Craig Glennie, University of Houston
Hazards SEES Type 2: In hot water and harm’s way: Modeling to promote regional resilience to repeated heat waves and hurricanes: Seth Guikema, Johns Hopkins University
Additional collaborators: Celso Ferreira, George Mason University; Robin Dillon-Merrill, Georgetown University; Katie O’Meara, Maryland Institute College of Art; Margaret Walls, Resources for the Future Inc.
Hazards SEES Type 1: Persistent volcanic crises in the USA: From precursors to resilience: Bruce Houghton, University of Hawaii
Additional collaborators: Robert Wolpert, Duke University; M. J. Bayarri, Marquette University; Michael Lindell, Texas A&M University; Greg Valentine, University of Buffalo; Michael Manga, University of California Berkeley
Hazards SEES Type 2: Hazard prediction and communication dynamics in the modern information environment: Rebecca Morss, National Center for Atmospheric Research
Additional collaborators: C. Michael Barton, Arizona State University; Leysia Palen, University of Colorado Boulder
Hazard SEES Type 2: Next generation, resilient warning systems for tornadoes and flash floods: Brenda Philips, University of Massachusetts Amherst
Additional collaborators: V. Chandrasekar, Colorado State University; Joseph Trainor, University of Delaware
Hazards SEES Type 2: Preventing flood hazards from becoming disasters through two-way communication of parcel-level flood risk: Brett Sanders, University of California Irvine
Additional collaborators: Edmund Balsdon, San Diego State University; Kristen Goodrich, Southwest Wetlands Interpretive Association
Hazards SEES Type 1: Predicting landslide runout and granular flow hazard: enhanced-g centrifuge experiments, contact dynamics model development and theoretical study: Colin Stark, Columbia University
Hazards SEES Type 2: Magnitude 9 earthquake scenarios—probabilistic modeling, warnings, response and resilience in the Pacific Northwest: John Vidale, University of Washington
