Our proposal “Facilitating Wildfire Insurance Business with Big Data and Machine Learning” (PI: Min Chen; Co-PI: Volker Radeloff) has been selected for funding by the American Family-UW-madison data science initiative program.
Recent wildfires across the western US have caused enormous environmental hazards and economic losses. This project will prototype a machine learning framework, modeled on fires in California, that will improve the prediction of wildfire probability and severity at daily, weekly, and monthly scales.
Find more at https://datascience.wisc.edu/institute/research-amfam/