Project Towards a global conflict heatmap informed by climate change stressors Program DUIRI - Discovery Undergraduate Interdisciplinary Research Internship Term Fall 2026 Status Accepted Research Area Political Science; Geospatial Analysis; Game Theory Description Seeking a detail-oriented undergrad for a one-semester (Fall 2026) data and geospatial analysis role on a project mapping how climate stressors shape global civil conflict risk. Responsibilities include building a reproducible data pipeline that harmonizes climate (SPI/SPEI, ERA5) and conflict (ACLED, UCDP-PRIO) datasets to a common spatial grid, and executing specified geospatial analyses to produce publication-quality maps. Required: working Python proficiency, familiarity with pandas and git; coursework or self-study in GIS or geospatial Python preferred. Theoretical direction and research questions are set by the PI; this role is execution-focused, with code review and weekly check-ins. Supervisor David R Johnson Mentor Matthew Huber Type of work required Data wrangling: collecting, cleaning, and harmonizing public climate and conflict datasets into a single grid-aligned format.
Geospatial coding: implementing spatial statistics, hotspot detection, and map generation in Python.
Reproducible workflow: maintaining a documented Git repo with scripts and outputs that anyone can easily re-run.
Websites N/A Qualifications Confidence with coding and large datasets. Credit Hours 3 Weekly Hours 10 (estimated)