Teaching

Meta

At Meta, I serve as an “AI Captain” within the Demography & Survey Science (DSS) team, co-designing and leading hands-on training programs that help researchers integrate coding agents (e.g., Claude Code) into their day-to-day workflows. To date, I have co-led four multi-day workshops training around 50 PhD researchers, with every participant building and shipping functional tools by the end of Day 2. I was also selected as one of three individual contributors to design and deliver a full-day hands-on AI training for senior leadership (VP-level).

University of Pennsylvania

At UPenn, I taught PSCI3200 - Global Development: Intermediate Topics in Politics, Policy, and Data. This course provided an introduction to data analysis methods, inferential techniques, and computational tools in the context of contemporary development research. I taught this course in Spring 2024 and Spring 2025. Materials for the course and source code are available on the course website: jrspringman.github.io/psci3200-globaldev/

In Spring 2024 I was also a Fels Institute of Government Lab Capstone Partner, working with an MBA/MPA student on a project using novel data and large language models to study Russian influence on developing countries.

US Agency for International Development

I served as the Academic Lead on the Local Evaluation and Evidence Support (LEES) activity, which supports efforts by the USAID Bureau for Policy, Planning, and Learning (PPL) to promote localization of USAID activities by increasing the capacity of local partners and strengthening networks that connect these organizations.