Predicting your academic career

Publication metrics and success on the academic job market
David van Dijk, Ohad Manor, Lucas B. Carey
Current Biology 2014 Vol 24 No 11 R516

I caught this paper in a TOC email from Current Biology. “Predict who becomes a PI” they say. “Hmm,” I think, “This should be interesting.”

The abstract sets out the problem simply: “so far there has been no quantitative analysis of who becomes a principal investigator (PI). We here use a machine-learning approach to predict who becomes a PI, based on data from over 25,000 scientists in PubMed. We show that success in academia is predictable.”
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