This research uses functional regression to forecast how climate change will affect electricity demand across California. By modeling complete demand patterns rather than isolated data points, it aims to help design smarter, more resilient, and more equitable power grids that reduce outages during increasingly frequent heatwaves and extreme weather.

This research investigates political prediction markets, where people trade on future events like elections. By studying traders, journalists, and political staffers, it examines who drives these markets, how information is used, and whether their forecasts deserve public trust as indicators of democratic outcomes.