Young Scholars or Any Scholars

The Economic Science Association has listed some exceptions to the under-40 rule for being considered a success. I approve.

– *ESA Young Scholar Prize*: This prize is to be awarded to one young scholar whose research has made a significant contribution to experimental methodology. Nominees must

  • be under the age of 40; ESA will consider nominations of individuals over the age of 40 who started their research career late, or have had career interruptions, (b) hold an untenured position, or (c) have completed their PhD at most 10 years previously.

One does start to question if we ought to use the word “young” at all, if we are going to admit all those exceptions, since Awards for young talent are antinatalist.

Perhaps the worst thing about older people is a lower willingness to move-to-opportunity geographically. That’s not so bad from the perspective of an institution that has already made a hire, but it is bad from the perspective of a subfield or with respect to graduate admissions.

Experimental Economics is a small world, so I think there was a genuine impact on the way of thinking due to the success of Gary Charness.

Claude writes:

Charness did not follow the standard trajectory of a prodigy moving seamlessly from PhD to tenure-track stardom. He earned his doctorate from UC Berkeley relatively late, in 1999, after a career in business and industry. He was in his early 40s when he entered the academic job market — an age at which many economists assume a researcher’s most creative years are already behind them.

Despite entering academia so late, Charness went on to become one of the most cited and prolific experimental economists in the world. He continued producing high-impact work well into his 60s, with no visible declining trajectory in the originality or influence of his research.

Joy again:

Notice the move-to-opportunity at the age of 50, as indicated by Wikipedia “After commuting for three years between San Francisco and Barcelona (and floating free for another year), Gary accepted a position as an assistant professor at UCSB in 2001.”

In case you are missing the reference, this is how it’s typically used: “Evaluating the Impact of Moving to Opportunity in the United States” 

Whether full-time permanent research jobs or research awards for writing papers will still exist at all in 20 years, because of changes wrought by AI, I do not know. This week a student walked into my office to ask for help with Excel, which I was happy to provide. I told her that she could have just asked AI, but she claimed that, “Claude was acting up this week.” The year 2026 is odd because I am trying to synthesize the claim that “AGI is here” with the fact that AI still cannot perform most basic tasks correctly. Do organizations need a contingency plan for when Claude is “acting up?”

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