This course introduces the politics of policy-making in explicit cross-national focus. It satisfies a core requirement for SPP MPP/MPPA students. Focus is on how values, institutions, and choices shape outcome.

Students synthesize what they learned in the MPP/MPPA programs in a paper that addresses an important gap in knowledge about a particular issue in public policy or management.

Second-year project/seminar. Students interpret and analyze problems for public sector or non-profit clients. Also examines how problems affect public organizations, and the real constraints and opportunities that face such organizations. Small teams work on policy problems facing public organizations, then write and present a report to the seminar and the client.

Introduction to basic statistics including use and interpretation of statistics used in policy research. Topics include statistical methods, descriptive statistics, probability theory, analysis of tabular data, correlation and regression, and multiple regression.

Introduction to basic statistics including use and interpretation of statistics used in policy research. Topics include statistical methods, descriptive statistics, probability theory, analysis of tabular data, correlation and regression, and multiple regression.

Integrates material from core courses and applies it to actual and hypothetical policy issues in many areas. Examines policy analysis methods using case studies from a wide range of substantive policy areas. Looks at social, economic, organizational, political, and other influences on policy decisions.

This course introduces students to advanced statistical methods in the context of applications with high social impact. It helps students learn about the technical aspects of these methods, as well as the critical statistical thinking skills necessary to relate methods to applied contexts. It also includes horizontally- and vertically-integrated components to support communication skills across disciplines and experience levels. In this course, advanced statistical methods are methods that follow or build on multiple linear regression.

In this course, we will introduce Public Interest Technology, innovation, and relevant regulatory frameworks to provide a foundation to explore the thoughtful design of technology that can serve society while remaining safe for all users and stakeholders. The course begins with examining the core values of public interest technology, such as fairness, transparency, accountability, and inclusivity. We will then review foundational concepts around innovation and strategies, along with an overview of technology governance.

In this course, we will introduce Public Interest Technology, innovation, and relevant regulatory frameworks to provide a foundation to explore the thoughtful design of technology that can serve society while remaining safe for all users and stakeholders. The course begins with examining the core values of public interest technology, such as fairness, transparency, accountability, and inclusivity. We will then review foundational concepts around innovation and strategies, along with an overview of technology governance.

This class introduces students to actors, institutions and public interest battles fought nationally, regionally, and globally for the control of the Internet. It considers the interaction between law, technological design, and policy solutions in shaping infrastructure, code, and content of the global web.