2020 Schedule

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Google calendar for this seminar with the zoom link: https://bit.ly/30QZJ9k

Date Speaker Affiliation Abstract Video
Spring 2021
Jan. 27 Guillaume Basse Stanford University Abstract Video
Feb. 3 Alex Tarr Princeton University Abstract Video
Feb. 10 Dean Knox University of Pennsylvania Abstract Not Available
Feb. 17 Soichiro Yamauchi Harvard University Abstract Video
Feb. 24 James Robins Harvard University Abstract Video
Mar. 3 Arthur Zeyang Yu University of Chicago Abstract Not Avaialble
Mar. 10 Adeline Lo University of Wisconsin-Madison Abstract Video
Mar. 17 Suzanna Linn Pennsylvania State University Abstract Video
Mar. 24 Avi Feller University of California, Berkeley Abstract Video
Mar. 31 Wellness Day
Apr. 7 David Ham Harvard University Abstract Video
Apr. 14 Laura Forastiere Yale University Abstract Video
Apr. 21 Kristen Hunter Harvard University Abstract Video
Apr. 28 Isabel Fulcher Harvard University Abstract
Fall 2020
Sep. 9 Matthew Blackwell Harvard University Abstract Video
Sep. 16 Connor Jerzak Practice Job Talk Abstract Video
Sep. 23 Reagan Mozer Bentley University Abstract Video
Sep. 30 Michael Baiocchi Stanford University Abstract Video
Oct. 7 Felix Elwert University of Wisconsin-Madison Link NA
Oct. 14 Luke Miratrix Harvard University Abstract Video
Oct. 21 Eric Tchetgen Tchetgen University of Pennsylvania Abstract Video
Oct. 28 Fabian Pfeffer University of Michigan Canceled
Nov. 4 Yiling Chen Harvard University Abstract Video
Nov. 11 Cory McCartan Harvard University Abstract Video
Nov. 18 Tyler VanderWeele Harvard University Abstract Video
Dec. 2 Kosuke Imai Harvard University Abstract Video

 

 The Applied Statistics Workshop meets virtually via Zoom (Link:  https://harvard.zoom.us/j/97787602526?pwd=Uzh3bVVVS0F4TEVYQTJlV3BQNjcydz09)

 

To get on the mailing list, please email: syamauchi@g.harvard.edu

The Applied Statistics Workshop (Gov 3009) meets all academic year, Wednesdays, 12pm-1:30pm, in CGIS K354 (1737 Cambridge St., Cambridge, MA 02138). This workshop is a forum for graduate students, faculty, and visiting scholars to present and discuss methodological or empirical work in progress in an interdisciplinary setting. The workshop features a tour of Harvard's statistical innovations and applications with weekly stops in different fields and disciplines and includes occasional presentations by invited speakers. It is co-hosted by Harvard University's Department of Government and Institute for Quantitative Social Science (IQSS). Free lunch is provided.