18 citations · 37 across the 5 of their papers we have counts for
5 papers
Validity in machine learning for extreme event attribution
Cassandra C. Chou, Scott L. Zeger, Benjamin Q. Huynh
Extreme event attribution (EEA), which assesses the extent to which disasters are caused by climate change, is crucial for informing climate policy and legal proceedings. Machine l…
Drinking water contamination as a population-wide determinant of mortality in California
Kiley Kennedy, Vincent Zheng, Benjamin Q Huynh
Drinking water contamination, a known determinant of adverse health outcomes, remains widespread and inequitably distributed amidst aging infrastructure. Regulatory oversight is th…
AI for Anticipatory Action: Moving Beyond Climate Forecasting
Benjamin Q. Huynh, Mathew V. Kiang
Disaster response agencies have been shifting from a paradigm of climate forecasting towards one of anticipatory action: assessing not just what the climate will be, but how it wil…
Potential for allocative harm in an environmental justice data tool
Benjamin Q. Huynh, Elizabeth T. Chin, Allison Koenecke +4
Neighborhood-level screening algorithms are increasingly being deployed to inform policy decisions. We evaluate one such algorithm, CalEnviroScreen - designed to promote environmen…
Forecasting Internally Displaced Population Migration Patterns in Syria and Yemen
Benjamin Q. Huynh, Sanjay Basu
Armed conflict has led to an unprecedented number of internally displaced persons (IDPs) - individuals who are forced out of their homes but remain within their country. IDPs often…