Legend:
CC = Vancouver Convention Centre
F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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389 *
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Tue, 7/31/2018,
2:00 PM -
3:50 PM
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CC-West 209
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Improving Survey Data Quality with Machine Learning Techniques — Invited Papers
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Survey Research Methods Section, Social Statistics Section, Government Statistics Section
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Organizer(s): Stephanie Eckman, RTI International
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Chair(s): Stephanie Eckman, RTI International
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2:05 PM
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Artificial Intelligence (AI)-Enhanced Applications to Survey-Specific Imputation Tasks to Achieve Time and Cost Efficiencies
Steven B. Cohen, RTI International
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2:20 PM
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Predicting Panel Drop-Outs with Machine Learning
Christoph Kern, University of Mannheim
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2:35 PM
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Dynamic, Personalized Instruments via Responsive Matrix Sampling with High-Dimensional Covariates
Sean Taylor, Facebook; Curtiss Cobb, Facebook; Chelsea Zhang, UC Berkeley
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2:50 PM
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A Comparison of Automatic Algorithms for Occupation Coding
Malte Schierholz, Institute for Employment Research
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3:05 PM
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The Use of Machine Learning Methods to Improve the US National Resources Inventory Survey
Zhengyuan Zhu, Iowa State University
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3:20 PM
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Discussant: Frauke Kreuter, Joint Program in Survey Methodology
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3:35 PM
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Floor Discussion
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