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Data Science Certificate Student Social
February 6 @ 4:00 pm - 5:30 pm
Weiser Hall, MIDAS, Suite 600
The MIDAS Student Social in January will provide a forum for discussion of some of the following works, by MIDAS Seminar series presenters. Please scan over these pubs, identify pros/cons of the approaches, report on interesting strategies/results, and ask clarification questions:
- Justin Grimmer (Stanford): We are all social scientists now: how big data, machine learning, and causal inference work together: Political Science & Politics 48 (1), 80-83.
- Claire Cardie (Columbia): How to Assess and Rank User-Generated Content on Web, Companion of the Web Conference 2018 on The Web Conference 2018, 489-493
- Chris Miller (UMich): Systematic labeling bias: De-biasing where everyone is wrong, Pattern Recognition (ICPR), 2014 22nd International Conference on, 4417-4422
- Josh Pasek (UMich): Why don’t tweets consistently track elections? Lessons from linking Twitter and survey data streams, Digital Discussions, 78-105.
Students are strongly encouraged to participate in all MIDAS activities. Please RSVP HERE.