Presentation & Discussion
Time/Date
10:45am-12:00pm on Tuesday, 4/21/2026
Facilitator
Deveny Flanagan, University of Minnesota - Office of Measurement Services
This session highlights best practices in scientific research, explores effective survey methodologies, and introduces open-source tools alongside machine learning models.
- Presentations
- Digital Support for Study Preparation and the Implementation of Good Scientific Practice
- Roman Auriga, Leibniz Institute for Educational Trajectories (presenter)
- Nils Lerch, Leibniz Institute for Educational Trajectories
- Lea Rauh, Leibniz Institute for Educational Trajectories
- Open-Source Technologies in the U.S. Census Bureau Geographic Partnership Programs Web Applications
- Emily Vratarich, U.S. Census Bureau (presenter)
- Combining National-Level Parcel Datasets with Cutting-Edge Machine Learning Models
- Gustavo Maldonado, U.S. Census Bureau (presenter)
- Optimizing Enumerator Recruitment for the 2026 Census Test: A Flexible Wage-Setting Approach
- Ariel Binder, U.S. Census Bureau (presenter)
- Mark Klee, U.S. Census Bureau
- Michaela Dillon, U.S. Census Bureau
- Marisa Hotchkiss, U.S. Census Bureau
- Gregory Kinney, U.S. Census Bureau

