PhD Candidate
University of Washington
Evans School of Public Policy & Governance
mnepf@uw.edu
Instructor: Dr. Adam Visokay & Dr. Tyler McCormick
Teaching Assistant: Mark Nepf & Isabelle Thiara
A two-week program bringing together participants from diverse disciplinary and technical backgrounds for lectures, interactive sessions, and collaborative research. The program explored a broad range of computational social science approaches, including computational methods, statistical reasoning, online communities, responsible AI, large language and multimodal models, accessibility, and community-centered data science.
Website
Instructor: Dr. Isaac Sederbaum
Teaching Assistant: Mark Nepf
An introduction to policy research methods, focusing on developing research questions, matching evidence to policy questions, and understanding how research informs the policy process. The course covered diverse methodological approaches and emphasized designing rigorous, equitable, and policy-oriented research.
Syllabus
Instructor: Dr. Luis Navarro
Teaching Assistant: Mark Nepf
An applied statistics course focused on using regression and statistical modeling to evaluate evidence in policy contexts. Topics included causal inference, hypothesis testing, model specification, and critical evaluation of empirical research, with hands-on analysis in Stata.
Syllabus