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Gain the ability to understand and address global issues from multiple perspectives using data-analytical tools. There are three academic components to this program: Data Analytics, Introduction to R Programming and a Capstone Research Project.
This course provides an introduction to the statistical foundations, tools, and methods employed by public policy researchers. Explore the fundamental problem of causal inference and learn how to use data, research design, and statistical modeling to navigate around this problem.
This is an introductory course in programming and data analysis for students with no prior coding experience. The course has three learning outcomes: introduce students to the tools required to write and share code; translate self-contained questions into R programs; and learn how to retrieve, clean, visualize, and analyze data.
In the capstone research project, you will collaborate with Austin Wright, Assistant Professor and DPSS Faculty Director, and a group of peers on a real-world problem and design a policy recommendation.
You will harness the skills of research design, policy analysis, and team collaboration to conduct a research project using open-source or faculty-provided datasets. There are elements of data collection, analysis, and visualization, and result in a policy memo.
Learning outcomes and the policy memo become a portfolio piece that highlights your academic readiness for graduate program admissions or for applications for internships or jobs. The skills gain in the project are transferable for further research in your area of interest.
The program offers two-four capstone project topics. Faculty prepare a list of project topics, based on student interest, and students vote to select their preferred topics. Students learn the topics during the program.
Before the program begins, we invite admitted students to share their suggested policy topics - a benefit of applying early! This will help shape which projects the faculty choose for the program.
Hear Professor Wright talk about the capstone research project.
Past capstone projects
Conflict and Insurgent Learning (PDF, 4 pages): How do insurgents learn and adapt to their enemies?
Hate Crimes in the United States (PDF, 4 pages): What are the trends and implications of hate crime reporting?
See how alumni used these skills after the program.
Participants will receive two documents, issued electronically, upon completion of the credential program:
Austin Wright is the Faculty Director for the Data and Policy Summer Scholar Program, ensuring the holistic curriculum is designed and taught to meet student needs in the UChicago way. Wright is an Assistant Professor at the Harris School of Public Policy, and faculty affiliate of The Pearson Institute for the Study and Resolution of Global Conflicts at the University of Chicago.
The Data and Policy Summer Scholar Program occurs twice during the summer. The two virtual sessions are identical. Participants can apply to the session that best fits their schedule.
View the application requirements and application process.
The virtual format allows students to engage with asynchronous (pre-recorded) lectures for Data Analytics and R Programming delivered via weekly video modules. Students can watch and re-watch on their own time from anywhere in the world.
Students receive daily support by joining synchronous office hours with faculty and graduate teaching assistants or chatting in the virtual discussion board. Live office hours are offered approximately 15 hours per week at various times to accommodate our global and working students.
The Capstone Research Project, in the last two weeks of the program, includes live lectures with faculty, office hours with teaching assistance, and collaboration with a group of peers.
Community Resources occur though live, synchronous sessions. These are approximately two-three hours of live lectures or workshops per week.
Read our blog post on the Benefits of the Virtual Format
Anticipate a commitment of approximately 10-15 hours per week. This weekly estimate is based on:
The weekly time commitment varies per student based on their own learning pace. This part-time format makes the program a compatible supplement your part-time or full-time academic study or internship/employment.
Live office hours accommodate various time zones and occur multiple times throughout the week. Live office hours are held in the mornings and evenings of Central Daylight Time (Chicago Time, UTC-5).
Career Exploration Workshops
Networking with UChicago students and alumni
Week 6 & 7