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Program on Social Research Methods and Data Analytics

Dr. Din Chen, coordinator

Din Chen, Ph.D.Faculty in the Program on Social Research Methods and Data Analytics are leading the social work profession in developing and implementing new, advanced statistical methods to harness the power of burgeoning data. Faculty in this program have expertise in the use of qualitative and quantitative methods, including measurement development, causal analysis, Bayesian methods, social interventions, econometrics, and geographic information systems (GIS) mapping. They provide consultation and support within and outside our School and University for all phases of the research process, including formulating plans for participant recruitment, data collection, data management, and dataset construction.

To promote the use of advanced methods in social science research, the Program on Social Research Methods and Data Analytics hosts workshops and seminars that are open to students and faculty from across campus. Faculty scholarship related to data analytics includes numerous publications on statistical causal inference, clinical trial biostatistics and biopharmaceutical applications, meta-analysis, Bayesian methods, and other topics.