21 citations · 54 across the 19 of their papers we have counts for
4 papers · 1 filter
Mapping industrial poultry operations at scale with deep learning and aerial imagery
Caleb Robinson, Ben Chugg, Brandon Anderson +2
Concentrated Animal Feeding Operations (CAFOs) pose serious risks to air, water, and public health, but have proven to be challenging to regulate. The U.S. Government Accountabilit…
Beyond Ads: Sequential Decision-Making Algorithms in Law and Public Policy
Peter Henderson, Ben Chugg, Brandon Anderson +1
We explore the promises and challenges of employing sequential decision-making algorithms -- such as bandits, reinforcement learning, and active learning -- in law and public polic…
Reconciling Risk Allocation and Prevalence Estimation in Public Health Using Batched Bandits
Ben Chugg, Daniel E. Ho
In many public health settings, there is a perceived tension between allocating resources to known vulnerable areas and learning about the overall prevalence of the problem. Inspir…
Enhancing Environmental Enforcement with Near Real-Time Monitoring: Likelihood-Based Detection of Structural Expansion of Intensive Livestock Farms
Ben Chugg, Brandon Anderson, Seiji Eicher +2
Much environmental enforcement in the United States has historically relied on either self-reported data or physical, resource-intensive, infrequent inspections. Advances in remote…