In online advertising, regret minimization is used to optimize ad placement and bidding strategies to improve performance over time. Here are some specific applications:

1. **Bid Optimization**: Advertisers use regret minimization to adjust their bids dynamically across different websites or platforms. By minimizing regret, they can ensure that thei... See more

Predictive algorithms are everywhere these days, as are concerns that they embed & perpetuate discrimination In a new (short!) working paper with David Arnold & Will Dobbie, we develop + apply new quasi-experimental tools to address these concerns! https://t.co/4pZ0BI4K81... See more

A great new dataset on R&D's impact on state economies was released today: New Mexico gets the highest share of its state GDP from R&D thanks to the Los Alamos & Sandia National Laboratories, but California makes up the highest share of national R&D output at 30%! https://t.co/Ca6uMary1u

3. If you want good cheap infrastructure, build up state capacity

America has a big problem building infrastructure. Our roads and trains cost much more per mile than other rich countries. There are a number of reasons why this is the case, including land-use regulation, NIMBYism, and broken government contracting processes. But one reason is simpl... See more

💫Today we launch the Segregation Explorer!💫 Visualize and download school segregation data for every state, county, metro area, commuting zone, geo school district, and local educational agency in the US since 1991. https://t.co/pZ2FOVqDyZ... See more