Framework for Data Collection and Analysis

Dr. Frauke Kreuter is a distinguished scholar in survey methodology and data science, holding key positions at the University of Maryland, University of Michigan, University of Mannheim, and the German Institute for Employment Research. Her extensive academic background includes roles at Ludwig Maximilians University and UCLA. Dr. Kreuter has made significant contributions to the field through influential books on data analysis and survey sampling, pioneering research on paradata in surveys, and interdisciplinary studies published in major journals. Her teaching experience spans over two decades, including long-standing courses at JPSM and the University of Michigan's Summer Institute. Dr. Kreuter's expertise is widely recognized, as evidenced by her election as a fellow of the American Statistical Association and her receipt of the Warren Mitofsky Innovators Award. Her work, which bridges survey methodology, statistics, and data science, has profoundly influenced survey research and its adaptation to evolving data environments, cementing her status as a leading figure in the field.

Mariel Leonard is a Lecturer at the University of Maryland, College Park, specializing in survey methodology and data analytics. With over a decade of experience in designing and implementing survey research projects, she began her career at Westat in Rockville, MD, where she worked in both the Telephone Research Center and the Instrument Design, Evaluation, and Analysis Services department. Her expertise extends to consulting for various organizations, including the German Ministry for Migration and Refugees and UNICEF, focusing on improving data equity and representation of ethnic minorities in research.Dr. Leonard holds a doctorate in empirical sociology from the University of Mannheim, where her research emphasized the importance of effective data collection methods. She teaches courses such as "Framework for Data Collection and Analysis," where she equips students with essential skills to conduct rigorous research in diverse contexts. Her commitment to advancing knowledge in survey methodology is evident through her active participation in academic conferences and her work on sensitive topics involving special populations. Through her teaching and consulting efforts, Mariel Leonard continues to make significant contributions to the field of data analytics and survey research