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American Association for Public Opinion Research

Webinar Details

Introduction to Machine Learning for Survey Research

Thursday, May 26, 2022
1:00 - 2:00 PM Eastern Time

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Speaker: Christoph Kern, Post-Doctoral Researcher at the Professorship for Statistics and Methodology at the University of Mannheim

About Christoph:
IMG_3541.pngChristoph Kern is a Post-Doctoral Researcher at the Professorship for Statistics and Methodology at the University of Mannheim and Research Assistant Professor at the Joint Program in Survey Methodology
(JPSM) at the University of Maryland. He also is a Project Director at the Mannheim Centre for European Social Research (MZES) and member of the Mannheim Center for Data Science (MCDS). He received his PhD in social science from the University of Duisburg-Essen (UDE) in 2016. Before joining the University of Mannheim, he was a research associate at the Professorship for Empirical Social Science Research and Statistics at UDE.

Advances in the field of machine learning (ML) have created an array of flexible methods that can be used in a variety of modeling settings. These methods can be utilized by survey researchers to, e.g., tackle nonresponse or break-offs in surveys from a prediction perspective, particularly in the context of adaptive designs.
Furthermore, survey researchers are confronted with an increasing number of new data sources that often result in complex data structures that are difficult to handle with traditional modeling methods. Against this background, this course gives an introduction to machine learning foundations, discusses ML applications in survey research, and provides guidance on practical implementations in survey settings.

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