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CC = Vancouver Convention Centre   F = Fairmont Waterfront Vancouver
* = applied session       ! = JSM meeting theme

Activity Details

389 * Tue, 7/31/2018, 2:00 PM - 3:50 PM CC-West 209
Improving Survey Data Quality with Machine Learning Techniques — Invited Papers
Survey Research Methods Section, Social Statistics Section, Government Statistics Section
Organizer(s): Stephanie Eckman, RTI International
Chair(s): Stephanie Eckman, RTI International
2:05 PM Artificial Intelligence (AI)-Enhanced Applications to Survey-Specific Imputation Tasks to Achieve Time and Cost Efficiencies

Steven B. Cohen, RTI International
2:20 PM Predicting Panel Drop-Outs with Machine Learning

Christoph Kern, University of Mannheim
2:35 PM Dynamic, Personalized Instruments via Responsive Matrix Sampling with High-Dimensional Covariates

Sean Taylor, Facebook; Curtiss Cobb, Facebook; Chelsea Zhang, UC Berkeley
2:50 PM A Comparison of Automatic Algorithms for Occupation Coding

Malte Schierholz, Institute for Employment Research
3:05 PM The Use of Machine Learning Methods to Improve the US National Resources Inventory Survey
Zhengyuan Zhu, Iowa State University
3:20 PM Discussant: Frauke Kreuter, Joint Program in Survey Methodology
3:35 PM Floor Discussion