Music, Data & Platform Equity

Do you care about who gets heard in the streaming era and why? This project investigates how music metadata infrastructures shape cultural visibility on a massive scale, cross-referencing Spotify's 256-million-track catalog with MusicBrainz, the world's largest open music database, to map whose music gets cataloged and whose disappears.

You'll work alongside faculty to turn a large-scale dataset into a peer-reviewed journal article destined for Big Data & Society. Your contributions will include cleaning and validating linked data, building publication-quality figures in Python (matplotlib, seaborn, plotly), and supporting exploratory analysis of genre and geographic coverage gaps.

Research Requirements

No prior research experience required, just curiosity, a willingness to learn Python data tools, and an interest in the intersection of technology, music, and equity. You'll leave with real portfolio pieces, hands-on training in computational social science, and a front-row seat to the academic publishing process.

Duration

5/10/26 - 6/20/26

Contact

Dr. Ian Dunham, idunham@kennesaw.edu