W
Woods Institute for the Environment
Publications - 2
Woods Institute for the Environment is an academic researcher. The author has contributed to research in topics: Computer science & Biology. The author has co-authored 2 publications.
Papers
More filters
Journal ArticleDOI
Improving debris flow evacuation alerts in Taiwan using machine learning
Yi-Lin Tsai,Jeremy Irvin,Suhas Chundi,Joao Estacio Gaspar Araujo,Andrew Y. Ng,Christopher B. Field,Peter K. Kitanidis Department of Civil,Environmental Engineering,Stanford University,Stanford,Ca,Usa,Department of Materials Science,Woods Institute for the Environment,Interdisciplinary Environmental Studies Program,Department of Computer Science,Institute for Computational +16 more
TL;DR: A random forest model performed the best among the five models and outperformed the existing debris warning system in Taiwan, suggesting the potential for machine learning models trained on hourly rainfall data alone to save lives while reducing false alerts.
Journal ArticleDOI
Effective approaches to disaster evacuation during a COVID-like pandemic
Yi-Lin Tsai,Dymasius Y. Sitepu,Karyn E. Chappell,Rishi P. Mediratta,C. J. Wang,Peter K. Kitanidis,Christopher B. Field Department of Civil,Environmental Engineering,Stanford University,Stanford,Ca,Usa,National University of Singapore,Singapore,Department of Electrical Engineering,I. -. London,London,Uk,Department of Pediatrics,Stanford School of Medicine,Department of Health Policy,Woods Institute for the Environment,Bio-X,Institute for Computational,Department of Biology,Department of Materials Science,Interdisciplinary Environmental Studies Program +26 more
TL;DR: An age-structured epidemiological model is applied, known as the Susceptible-Exposed-Infectious-Recovered (SEIR) model, to investigate to what extent vaccine uptake levels and the Diversion protocol implemented in Taiwan decrease infections and delay pandemic peak occurrences.