RESCHEDULED to 2/6: Data Science Certificate Student Social

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.