Interdisciplinary Seminar in Quantitative Methods Archive 2017
About the workshops
The goal of the Interdisciplinary Seminar in Quantitative Methods is to provide an interdisciplinary environment where researchers can present and discuss cutting-edge research in quantitative methodology. The talks are aimed at a broad audience, with emphasis on conceptual rather than technical issues. The research presented is varied, ranging from new methodological developments to applied empirical papers that use methodology in an innovative way. We welcome speakers and audiences from all disciplines and fields, including the social, natural, biomedical, and behavioral sciences.
2017-2018 Series
Historical Record Linkage: An Overview of Methods and Their Performance
July 5, 2017: Martha Bailey, Economics, University of Michigan
Saving Science from Itself: Rethinking the Value of Research in an Era of Electronic Expertise
September 6, 2017: Arthur Lupia, Political Science, University of Michigan
Targeted Undersmoothing
September 20, 2017: Christian B. Hansen, Booth School of Business, The University of Chicago
Identification and Estimation of Spillover Effects in Randomized Experiments
October 4, 2017: Gonzalo Vazquez-Bare, Economics, University of Michigan
Text Preprocessing for Unsupervised Learning: Why It Matters, When It Misleads, and What to Do about It
October 25, 2017: Arthur Spirling, Politics and Center for Data Science, New York University
iFusion: Individualized Fusion Learning
November 15, 2017: Regina Liu, Statistics & Biostatistics, Rutgers University
Mate Pursuit and the Structure of Online Dating Market
December 6, 2017: Elizabeth Bruch, Sociology and Complex Systems, University of Michigan
Out of Bounds? Testing for Long Run Relationships under Uncertainty Over Univariate Dynamics
February 21, 2018: Suzanna Linn, Political Science, Pennsylvania State University
Measuring Attentiveness on Self-Administered Surveys
March 7, 2018: Adam Berinsky, Political Science, Massachusetts Institute of Technology
Clustering Analysis Through Integrating Diverse, High Dimensional and Noisy Data Sets
April 4, 2018: Hongyu Zhao, Biostatistics, Statistics, and Genetics, Yale University
Methods for Using Selection on Observed Variables to Address Selection on Unobserved Variables
April 25, 2018: Chris Taber, Economics, University of Wisconsin