machine learning

Can Artificial Intelligence fill the data gaps in disaster contexts?

23 March 2026

By Rozana Himaz, Dimitra Salmanidou, Saman Ghaffarian

7 min read time

Can Artificial Intelligence fill the data gaps in disaster contexts?

Machine learning for estimating catastrophic health spending in disaster-affected, data-scarce settings (ESCoE DP 2026-05)

By: Rozana Himaz, Dimitra Salmanidou, Saman Ghaffarian

23 March 2026

Machine learning for estimating catastrophic health spending in disaster-affected, data-scarce settings (ESCoE DP 2026-05)

Extracting Dimensions of Job Quality from Online Employee Reviews (ESCoE DP 2024-01)

By: Cath Sleeman

24 January 2024

Extracting Dimensions of Job Quality from Online Employee Reviews (ESCoE DP 2024-01)

A Bottom Up Industrial Taxonomy for the UK. Refinements and an Application (ESCoE DP 2022-29)

By: Juan Mateos-Garcia, George Richardson

24 November 2022

A Bottom Up Industrial Taxonomy for the UK. Refinements and an Application (ESCoE DP 2022-29)

Workshop

Modelling an Evolving Economy: A workshop on using new methods to measure structural economic change & inform policy

7 Oct 2022, 09:15 — 18:30

Digital Catapult, 101 Euston Road, London, NW1 2RA

Modelling an Evolving Economy: A workshop on using new methods to measure structural economic change & inform policy

Firms

An industrial taxonomy using web-data

An industrial taxonomy using web-data