Turning Boston's Data into Public Planning Power
Tiffany Gan served as a research intern at the City of Boston Planning Department Research Division.

Describe your internship and what a typical day looks like for you.
My work involved preparing and updating public-facing datasets and reports using tools like Excel and ArcGIS and data from the U.S. Census Bureau. A typical day involves cleaning and analyzing demographic, housing, income, and labor force data; creating visualizations; drafting presentations that are accessible to non-technical audiences; and collaborating with planners and GIS specialists to ensure the outputs are accurate and publicly accessible.
How did your work make a difference for your organization this summer?
I contributed to two major projects that support the City of Boston’s planning, research, and development goals. One is the Boston at a Glance 2025 report—a public-facing data snapshot of the city’s population, housing, income, and labor force. My work directly supported internal planners and others  who rely on this resource to understand trends and make data-informed decisions.
I also worked on a comprehensive analysis of Boston’s life science lab landscape. This work supported a citywide update on lab space availability, development trends, funding patterns, and vacancy rates. Through both projects, I’ve helped translate raw data into actionable, accessible outputs that support transparency and smart planning.
What have you learned from this experience that you'll carry forward in your career?
The internship helped me gain hands-on experience working with public sector data in a policy context. I’ve deepened my understanding of how data inform planning decisions and gained confidence in applying technical tools. It’s also strengthened my ability to communicate data findings to non-technical audiences—an essential skill for future roles in public sector analytics.
How has your Heinz College education prepared you for success in this internship?
Heinz College has been instrumental in preparing me for this internship. In particular, my optimization course taught me to efficiently clean, structure, and analyze large public datasets—skills I’ve used daily to work with Census data, housing reports, and labor force statistics. In addition, my Policy and Politics course gave me the context I needed to frame my analyses. Rather than just running numbers, I’ve been able to think critically about how demographic shifts or income distributions affect housing policy or infrastructure investments in Boston.
Tiffany is part of the data analytics track in the Public Policy and Management master's program.