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.
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 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"
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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.
🚨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%.
Those of us watching this market have seen this and delinquencies coming. Any small shock to cash flow, such as unemployment rising, was going to blow up consumer credit.