text:   brain-drain?",7,"['""The privatisation of AI researchers""\n\nIn our latest working paper we study AI researcher career transitions between academic &amp; industry.\n<LINK>\n\nOpening q: How do we preserve a public interest AI research sphere in the face of strong industry demand for talent? <LINK>', '1. We study career transitions since 2020 using data from Microsoft Academic Graph. \n\nWe find a growing flow of researchers from academia to industry [1], particularly from elite universities [2], and particularly to tech companies [3] https://t.co/JT8I2dUCub', '2. Our survival analysis shows that industry tends to recruit highly cited researchers with a specialism in deep learning. We also find evidence that female researchers are less likely to transition into industry after we account for other variables. https://t.co/VO1ietz8HB', '3. We also compare the ""productivity""* of researchers who transition into industry with peers who stay in academia. ""Switchers"" see a bump in productivity which is offset over time. Are they burning out, over-specialising, being captured...? 🤷\n\n____\n* Proxied w/ citation rank https://t.co/FownbBZ4oe', 'Conclusion: Our results raise concerns about a potential hollowing out AI public research &amp; knowledge as talented researchers transition into industry and become less productive over time.\n\nThis provides a rationale to invest in public AI research &amp; preserve its independence. https://t.co/3nh0YqG25h', 'PS. Lots of potential avenues to explore in further work eg:\n\nIt has bee fun to work with @kstathou, @Daniel_S_Hain &amp; @RJurowetzki on this one :-) https://t.co/xdMnvLhQIY', '* typo in # 2: since 2000']",21,02,1512