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The Computational Social Science Workshop Presents

Spring 2018 MACSS Student Conference

A Debut of the 2016 Cohort's Master Thesis Research



The Computational Social Science Workshop at the University of Chicago cordially invites you to attend this week's talk:


Abstract: The 2018 MACSS Student Conference will feature research from the 2016 Cohort in the Masters of Computational Social Science program at the University of Chicago. Thesis research comes from a variety of fields in the social sciences including but not limited to Sociology, Political Science, Psychology, Criminology, Economics, and Comparative Human Development using a variety of computational methods such as Spatial Regression, Natural Language Processing, Web Scraping, and Machine Learning.


Thursday, 3/29/2018

5:00pm - 7:00pm

Social Science Research Building 122


A dinner reception will follow provided by Pizza Capri.



Logistical Details for MACSS Presenters: Talks will be in Ignite-style, which means that by noon on Thursday, May , all 2nd year students will send a PDF with 20 slides to both James Evans and Joshua Mausolf and update the title of their talk on the spreadsheet linked below. The slides will be spliced together and auto-advance every 15 seconds. We will add a transition slide between every presentation (15 seconds) for a literally jam-packed evening of Computational Social Science. The order of speakers is detailed on the linked page.




The 2017-2018 Computational Social Science Workshop meets each Thursday from 11 a.m. to 12:20 p.m. in Kent 120. All interested faculty and graduate students are welcome.

This special session is required for all second year MACSS students (must present), and all first years (must attend). If a presenter needs to shift times in the program, please find someone in the program to switch (then swap on the sheet).

As a reminder, all students in the Masters of Computational Social Science program are expected to attend and join the discussion by posting a comment on the issues page of the workshop's public repository on GitHub. Further instructions are documented in the Computational Social Science Workshop's README on Github.

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