Mobilising UK Data and AI for All with a National Grid of Civic Learning Systems



Buchan, Iain, Ainsworth, John, Angione, Claudio, Ardern, Kate, Atkinson, Katie, Ball, Samuel, Barr, Benjamin, Bridgewater, Ben, Caiado, Camila, Cole, Helen
et al (show 54 more authors) (2025) Mobilising UK Data and AI for All with a National Grid of Civic Learning Systems. [Report]

Access the full-text of this item by clicking on the Open Access link.

Executive Summary

This is a response from the Northern Health Science Alliance (NHSA) and partners to the Science, Innovation and Technology Committee inquiry into how research and innovation can boost regional economic growth and help to deliver the Government’s Missions.1,2 We are an alliance of universities and NHS organisations plus wider civic partners from the North of England with experience in mobilising data, analytics and artificial intelligence (AI) to protect and improve health, optimise public services, and grow economies with industry. Our response to the inquiry considers the interdependence of health and wealth and shows how a network of devolved regions, each with a critical mass of efficient data uses, with public trust, could form a national grid of innovation that advances the UK’s global economic interests while reducing regional inequalities.

Item Type: Report
Uncontrolled Keywords: AI, Data, Infrastructure, Public service, Public trust
Divisions: Faculty of Health and Life Sciences
Faculty of Health and Life Sciences > Institute of Population Health
Depositing User: Symplectic Admin
Date Deposited: 03 Apr 2025 07:12
Last Modified: 03 Apr 2025 07:12
Open Access URL: https://www.thenhsa.co.uk/app/uploads/2025/03/Nati...
Related Websites:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3191170