Social change cannot occur without an infusion of financial resources particularly as the public service sector does not have the financial capital to invest in solving every pressing social...
Instructors: Phyllis Meadows, Senior Fellow, Health, The Kresge Foundation and Marianne Udow-Phillips, Lecturer of Public Policy, Gerald R. Ford School of Public Policy; Executive Director, Center for Health and Research Transformation...
This course will examine how the U.S. and other international actors seek to help pacify, stabilize, and rebuild societies embroiled or emerging from...
This course introduces students to multiple regression analysis and other tools of causal inference and program evaluation. The course will focus on applying these tools to real data on various policy...
This course introduces students to multiple regression analysis and other tools of causal inference and program evaluation. The course will focus on applying these tools to real data on various policy...
This course is designed to familiarize students with core skills in data access, manipulation, analysis, and presentation using Excel (and Excel-like...
Drawing on an interdisciplinary social science literature, this course introduces theories and methodologies for science and technology policy analysis and familiarizes students with the landscape of science and technology policymaking in the US...
This course focuses on rigorous evaluation of policies and interventions intended to support children's early learning and success in K-12. Evaluations will be discussed in the context of the current and historical...
This is a course in facilitating complex and difficult dialogic moments of engagement in the social, professional and institutional spheres of the public...
Strategic Public Policy Consulting (SPPC) is an opportunity for students to conduct a faculty-supervised consulting project for a public, private, or non-profit sector policy organization at the local, state, national or international...
This course is an introduction to programming in the R statistical language. R is a flexible, open-source statistics platform which has gained broad adoption in a variety of...
