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Poverty mapping is a powerful tool to study the geography of poverty.
Uses measurement of learning inequality to explore whether learning interventions aimed at improving means also reduce inequality
This essay presents the Framework as a useful approach for characterising the actors and interactions in the education system
The CMA has outlined 3 key risks to effective competition on AI Foundation Models and has set out plans for further action in the market.
Guidance for public sector organisations on how to use data appropriately and responsibly when planning, implementing, and evaluating a new policy or service.
Case study from Careful AI.
Oliver Wyman's AI validation framework demonstrates how a rigorous validation framework can be executed efficiently in practice.
First published during the 2022 to 2024 Sunak Conservative government
Summary of analysis using the National Energy Efficiency Data-Framework using consumption data from 2005 to 2017.
Case study from Holistic AI.
Case study from Advai.
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