🚨New paper alert!🚨
Women are less likely to enter competitions than men—even when equally qualified. But telling them this can change behavior.
📈 In a field experiment on a job application platform, we found that highlighting this gender gap increased the # of job apps women submitted by ~20%.
I’m a speech to the faculty yesterday, Chancellor Martin made it very clear that he would not consider any agreements that violated the independence and academic freedom of WashU. This is absolutely the right decision.
The @orgscience.bsky.social AI taskforce released an editorial analyzing 6 yrs of AI use in submission/review data: AI-written papers are lower quality, nearly all rejected, and explain 42%⬆️ submits. We're seeing more rather than better research. Humans are reviewing machines & we're getting tired.
Very excited to see our paper "Like Stars: How Firms Learn at Scientific Conferences" out in print in Management Science! (with Stefano Baruffaldi - yet to join over here)
pubsonline.informs.org/doi/abs/10.1...
As federal research grants continue to be frozen, and NIH staff is being gutted, please note this study was funded by federal research grants, including from NIH. If they continue with staff cuts, and continue to freeze new awards, this is just one example of what we lose.
Very astute:
"If America’s university presidents believe that their foremost responsibility is simply to keep their institutions operational ... they are mistaken. Much as lawyers are guardians of the rule of law, presidents and chancellors are stewards of intellectual freedom and democratic norms"
We are hiring at Rotman Strategy in the Fall. Apply here. jobs.utoronto.ca/job/Toronto-...
Wow!
Three scholars at Columbia, Michigan, & Maryland just introduced a measure of the partisan leanings of employers in the U.S.
The data is constructed by linking voter registrations to online worker profiles.
VRscores capture the political affiliations of 21.8M workers across 2.6M employers.
We hope this provides data and evidence to help us all understand how the process of creating, evaluating, and promoting great research must evolve. We are AI enthusiasts and heavy users, so believe that it can help us achieve better research. But incentives must change to reward better, not more.
