How Regional Artificial Intelligence ecosystems can best be measured and mapped to help inform local leadership

Whittle, Richard

Abstract

Written evidence submitted by Dr Richard Whittle (IGR0079) to the Science, Innovation and Technology Committee.

This submission is based on the author’s expertise at the intersection of economics, Artificial Intelligence and Policy Engagement.

This submission is supported as part of a university fellowship award based at Salford Business School. The following is based on a current in progress project being conducted by Salford Business School and Manchester City Council. This project seeks to measure and map the Manchester AI ecosystem with a particular focus on the interaction between policy levers for sustainable and inclusive growth, and the ecosystem

• Other Type: Reference Work Contribution
• Online Publication Date: Feb 12, 2025
• Publication Date: Feb 12, 2025
• Deposit Date: Mar 6, 2025
• Publicly Available Date: Mar 7, 2025
• Publisher URL: https://committees.parliament.uk/writtenevidence/135472/pdf/