Toward a model of data science & AI for common good
This framework integrates Maslow’s hierarchy of needs, Ostrom’s commons governance, James C. Scott’s critique of centralized power, social innovation, and […]
This framework integrates Maslow’s hierarchy of needs, Ostrom’s commons governance, James C. Scott’s critique of centralized power, social innovation, and […]
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Recently, two of the internationally placed Datavysts fellows crossed paths for the first time. Elisa Ertl of Politecnico di Milano and Kacy Lovelace of Glasgow Caledonian University both took part in and presented their research at the first annual Data CARE festival at Utrecht University.
On Friday, I attended Datalyst 2026 at The Catalyst in Newcastle upon Tyne — a day of keynotes, panels, and parallel streams exploring the latest in Data, AI and Analytics. A highlight was hearing from DataKind UK, whose work I’ll be joining this fall for my first secondment — and yes, I also won the bingo game.
Weronika Szpak’s research asks who fills the gap when governments can’t keep pace with the AI systems making decisions about people’s welfare, housing, and protection — and finds the answer in civil society.
Explore how Datavysts Fellow, Anna Pasko, explores how AI could support social enterprises and voluntary organisations.
If your organisation uses data or AI to advance public benefit, your insight can help fill critical gaps in our understanding of this landscape.
In this edition, Owen Soontjens of Ghent University reflects on his research and approach to advancing active ageing
Explore how Datavysts Fellow, Juliana Machado, is using data and AI for good, serving communities and the planet through ethical innovation.