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Data Science

Matching Higher Education Institutions

PL
Client
Philip Lindsay
Education

This project builds a system to standardize university names across multiple higher education datasets by matching them to unique institutional identifiers (UNITIDs). Students will develop and refine a fuzzy matching algorithm that automates this process, using a manually curated training dataset of institutions. This standardized data environment allows Boston University (BU) to be accurately compared with peer institutions across national higher education datasets. Students will investigate what the standardized datasets reveal about where BU is most impactful compared to other universities – particularly in research activity and grant funding. With additional data sources (such as research funding databases and OpenAlex affiliation records), students will explore BU’s strengths across academic areas and departments.

Where it ran
Fall 2025
Spring 2026
Spring 2026Spark! Data Science PracticumData Science
Fall 2025Spark! Data Science PracticumData Science
Tech Stack
PythonR