12 citations · 15 across the 4 of their papers we have counts for
4 papers
Exploring selective image matching methods for zero-shot and few-sample unsupervised domain adaptation of urban canopy prediction
John Francis, Stephen Law
We explore simple methods for adapting a trained multi-task UNet which predicts canopy cover and height to a new geographic setting using remotely sensed data without the need of t…
AI for bureaucratic productivity: Measuring the potential of AI to help automate 143 million UK government transactions
Vincent J. Straub, Youmna Hashem, Jonathan Bright +5
There is currently considerable excitement within government about the potential of artificial intelligence to improve public service productivity through the automation of complex…
Generative AI is already widespread in the public sector
Jonathan Bright, Florence E. Enock, Saba Esnaashari +3
Generative AI has the potential to transform how public services are delivered by enhancing productivity and reducing time spent on bureaucracy. Furthermore, unlike other types of…
Approaches to the Algorithmic Allocation of Public Resources: A Cross-disciplinary Review
Saba Esnaashari, Jonathan Bright, John Francis +3
Allocation of scarce resources is a recurring challenge for the public sector: something that emerges in areas as diverse as healthcare, disaster recovery, and social welfare. The…