Using Natural Language Processing to Reveal Coordination Gaps in Multi-Scale Government Flood Adaptation
Using Natural Language Processing to Reveal Coordination Gaps in Multi-Scale Government Flood Adaptation
Isabella Tavarez1,2, Amy C Clement3, Brett F Sanders4,5, Sam Lindemann6, Kevin Larson Mohr1,2, Eva-Marie Martin4, Jochen E Schubert4, Michael C Sukop7,8 and Katharine J Mach1,2, (1)Rosenstiel School of Marine, Atmospheric, and Earth Science, University of Miami, Department of Environmental Science and Policy, Miami, United States, (2)Leonard and Jayne Abess Center for Ecosystem Science and Policy, University of Miami, Miami, United States, (3)Rosenstiel School of Marine, Atmospheric, and Earth Science, University of Miami, Department of Atmospheric Sciences, Miami, United States, (4)University of California Irvine, Department of Civil and Environmental Engineering, Irvine, United States, (5)University of California Irvine, Department of Urban Planning and Public Policy, Irvine, United States, (6)Harvard University, Department of Statistics, Cambridge, United States, (7)Florida International University, Earth and Environment, Miami, United States, (8)Institute of Environment, Florida International University, Miami, United States