Josh Minot
@joshminot
data science. NLP. complex systems. pseudorandom nature walks. | fmr. @uvmcomplexity
ID: 384961884
http://joshminot.com 04-10-2011 16:47:28
249 Tweet
168 Followers
919 Following
Finally, Computational Story Lab showed just how much the overall sentiment on Twitter dropped after news of the Uvalde shooting spread. Thanks to Chris Danforth Peter Sheridan Dodds and team there.
This paper from Josh Minot won the Best Paper Award at WASSA 2024 at #acl2022nlp. It looks at language that characterizes in- and out-groups on Reddit–a question we are always interested in! 📜: aclanthology.org/2022.wassa-1.1… 4/4
News & Views by John Meluso (University of Vermont, Vermont Complex Systems Institute @ UVM) nature.com/articles/s4358…
Hedonometer app for the iPhone! Big thanks to Otto Berkes for surprising us with this exciting development following his inspired weekend coding effort. apps.apple.com/app/id16417103…
👐🏻👐🏻👐🏻Super excited about our big new longitudinal wearables study exploring sleep, mental health, exercise, nature experiences, more🫶🏻🫶🏻🫶🏻 We have funding for a PhD student in Complex Systems & Data Science Vermont Complex Systems Institute @ UVM or Biomedical Engineering UVM BME, DM for more info.
We're so excited about next year's #FAccT23 Conference! Taking place in Chicago, in mid June, the General Chairs are Aziz Huq and Chenhao Tan of U Chicago, and Christina Harrington and Sarah Fox of CMU. @adapperprof Chenhao Tan For updates see facctconference.org/2023/index.html
Computational Social Science Postdoc opportunity with Michaël Aklin, Shanti Gamper-Rabindran, and me! Come study how societal barriers, skills, and labor market conditions will shape a Just Transition for fossil fuel workers! cfopitt.taleo.net/careersection/… IC2S2 Network Science Society
New preprint arxiv.org/abs/2307.08580 w Josh Minot Computational Story Lab Data@MassMutual! Hiring practices contribute to the gender pay gap. But what about workers' self-representation? Paradoxically, females whose resume language is most different from males achieve greater wage parity!