Research, Updates, and Announcements

Exploring how existing data licensing regimes fall short in the age of AI, and how computational rights, machine unlearning, and collective governance can enable communities to retain control over their data and its downstream economic value. Drawing on research presented at CIKSWT 2026 in Bali and Shelley's ongoing agricultural data trust pilot.

True data sovereignty requires shifting from a model of possession to governed execution. The Shelley Data Trust enables verifiable compute-to-data infrastructure that keeps raw data strictly local while allowing communities to securely authorize, meter, and revoke AI access.

Our submission on Singapore's draft Digital Infrastructure Bill, with technical and research support from DataFund, DINA Lab at Hongik University, and Neouly Inc.