This paper seeks to unpack the emergent relationship between open data and generative AI. The authors provide a range of scenarios in which open data and generative AI could intersect, and outline how open data providers and other interested parties can help make open data 'ready' for those specific scenarios.

The rapid growth of cities and advances in data has led to the growing adoption of artificial intelligence and other automated systems in cities across the world. This report aims to serve as a primer for policy-makers and practitioners to learn about current governance and regulatory practices and inspire their own work in the field.

The GovLab, with the support of the Knight Foundation, recently sought to evaluate how non-traditional data was used to respond to the COVID-19 pandemic. The research identifies lessons and recommendations that can be applied to future data-driven crisis management.

This toolkit has been developed as a resource for data stewards and responsible data leaders at public, private, and civil society organisations, who are seeking new ways to create public value through cross-sector data collaboration.

This framework document seeks to inform decision-makers on how best to re-use data to solve public problems, such as tackling COVID-19. This framework seeks to inform if, when and how the re-use of personal data can be aligned with people’s expectations and societal values.