Data science can absolutely play a transformative role in this space by identifying undervalued zones before they become too expensive for independent creators to access. By analyzing public records, zoning maps, and local economic development data, analysts can create predictive models that pinpoint areas with high cultural potential but lower barrier-to-entry costs. Beyond just finding space, you could build a platform that matches artists with vacant commercial properties eligible for tax incentives, which developers often overlook. Connecting these findings with collective ownership models would require a layer of community-focused legal tech, but it is a very viable path for creating sustainable hubs for creative entrepreneurs. If you are serious about this, I would suggest starting by scraping municipal housing datasets to identify clusters of artist-led activity and cross-referencing that with rental growth trends in key cities like Lagos, Accra, or London.