Paper by Matthew J. Salganik et al: “Hundreds of researchers attempted to predict six life outcomes, such as a child’s grade point average and whether a family would be evicted from their home. These researchers used machine-learning methods optimized for prediction, and they drew on a vast dataset that was painstakingly collected by social scientists over 15 y. However, no one made very accurate predictions. For policymakers considering using predictive models in settings such as criminal justice and child-protective services, these results raise a number of concerns. Additionally, researchers must reconcile the idea that they understand life trajectories with the fact that none of the predictions were very accurate….(More)”.
How to contribute:
Did you come across – or create – a compelling project/report/book/app at the leading edge of innovation in governance?
Share it with us at info@thelivinglib.org so that we can add it to the Collection!
About the Curator
Get the latest news right in you inbox
Subscribe to curated findings and actionable knowledge from The Living Library, delivered to your inbox every Friday
Related articles
DATA
Mapping Local Government Priorities: A Web-Mining Approach for Regional Research
Posted in August 12, 2025 by Stefaan Verhulst
DATA
Practices for Collecting, Managing, and Using Light Detection and Ranging Data
Posted in August 12, 2025 by Stefaan Verhulst
DATA
South Africa launches AI-powered Living Evidence Map to combat GBVF
Posted in August 9, 2025 by Stefaan Verhulst