Combines topics in data ethics, critical data studies, public policy, governance, and regulation. Address challenges by topic (Health, Education, Culture & Entertainment, Security & Defense, Cities, Environment, Labor). Research how data-centric systems are deployed within socioeconomic ecosystems and shape the world. Interrogate connections between data science, governments, industry, civil society organizations, and communities.

Students in this course will contend with and explore the implications of how politically relevant attitudes & behaviors in the U.S. have always been tied to identity. Students will employ psychological insights on self, identity, and culture to examine the historical trajectories and broad identity-relevance of pressing social issues in the U.S. today.

Specialized or advanced topics not in DS current course offerings. Requires (a) approval of the program director and (b) an SDS faculty member who will serve as instructor.  Propose a syllabus which includes a week-by-week accounting of the topics, materials (papers and textbooks), and assessments.  Reach out to the program director for more details.

A colloquium on computational biology methods and results. Each week, students will attend a seminar, and read and discuss a computational biology paper, focusing on computational approaches and biological conclusions. Papers will be drawn from recent and seminal publications in computational biology.

A colloquium on computational biology methods and results. Each week, students will attend a seminar, and read and discuss a computational biology paper, focusing on computational approaches and biological conclusions. Papers will be drawn from recent and seminal publications in computational biology.

A colloquium on computational biology methods and results. Each week, students will attend a seminar, and read and discuss a computational biology paper, focusing on computational approaches and biological conclusions. Papers will be drawn from recent and seminal publications in computational biology.

The DH Certificate Practicum provides principles for working with humanities materials as data, while maintaining a commitment to humanistic inquiry. Students will learn to integrate digital humanities methods into coursework and research required in their home departments. This course provides students with a broad understanding of basic technologies and approaches used by digital humanists and introduces data standards and data modeling

This course provides an opportunity for graduate students in the humanities and social sciences to reflect upon and plan for post-graduation career opportunities both in the academe and in other areas.

This course examines the art and science of negotiation. The science of negotiation involves learning to recognize the structure of a conflict situation and knowing what techniques tend to be most effective given that structure. Because there is no substitute for negotiating experience, this class will rely heavily on role-playing exercises and analyses designed to help students develop their own styles and learning the art of negotiation.

This course provides an introduction to financial techniques that are essential for leadership dealing with any type of organizational finances. It provides an analytical treatment to valuations based on principles and theories of modern finance. Topics include discounted cash flow; interest rate; capital budgeting; valuation of stocks and bonds; investment decisions under uncertainty; capital asset pricing; option pricing; market efficiency.