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IMC Schedule for AY 2020/2021!

  • methodscolloquium
  • Oct 7, 2020
  • 1 min read

On behalf of the advisory board (Michelle Dion, Cassy Dorff, Jeff Harden, Dustin Tingley, and Chris Zorn), I am pleased to announce the schedule of International Methods Colloquium series talks for the 2020-2021 academic year! Note that all talks begin at 12:00 Eastern Time and last precisely one hour (except for the Roundtable on Teaching Quantitative Methods, which will be a special one-and-a-half hour panel). Here is our schedule of presenters (and a link to our Google Calendar): Fall Semester ---------------------------- October 23: Jesse Shapiro (Department of Economics, Brown University) October 30: Luwei Ying (Washington University in St. Louis) November 6: Jason Barabas, John Kane, and Yamil Velez (Dartmouth / NYU / Columbia) December 4: Nicole Pashley (Department of Statistics, Rutgers University) Spring Semester ----------------------------- February 5: Andy Eggers (University of Chicago) February 12: Nora Webb Williams (University of Illinois, Urbana-Champaign) February 19: Zoe Nemerever (UC San Diego) February 26: Shuai Jin (University of Massachussetts, Boston) March 5: Justin Grimmer (Stanford University) March 12: Magdalena Bennett (McCombs School of Business, UT Austin) March 19: Cameron Wimpy (Arkansas State University) March 26: Theresa Gessler (University of Zurich) April 2: Pedro Rodriguez (Vanderbilt University) April 9: Josef Woldense (Department of African American & African Studies, U. of Minnesota) April 16: Alex Siegel (UC Boulder) April 23: Oliver Rittmann (University of Mannheim) April 30: Roundtable on Teaching Quantitative Methods Additional information for each talk (including a title and a link to a relevant paper) will be released closer to its date.

 
 
 

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This material is based upon work supported by Wake Forest University and previously supported by Rice University and the National Science Foundation under Grant No. SES-1423825. The IMC is also sponsored by Springer Publishing.

 

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. 

 

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