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DSIT analysis on the economic and social benefits to the UK generated by public R&D investment.
Key finding Based on a comprehensive analysis of the evidence, DSIT’s…
An interim report on the science of advanced Artificial Intelligence (AI) safety.
Disclaimer The report does not represent the views of the Chair, any…
Statistics on the active disease surveillance of transmissible spongiform encephalopathies (TSEs) and the Compulsory Scrapie Flock Scheme.
Statistics on the active and passive surveillance of transmissible spongiform encephalopathies (TSE) in goats in Great Britain.
Statistics on the active and passive surveillance of transmissible spongiform encephalopathies (TSEs) in sheep in Great Britain.
Statistics on the surveillance of transmissible spongiform encephalopathies (TSEs) in cattle in the United Kingdom.
Animals in Science Committee response to a ministerial commission for advice.
Statistics on the bioscience and health technology sector 2023 to 2024. These statistics are designated as 'official statistics in development'.
A methodology report and descriptive analysis of the original Innovation Clusters Map published in February 2024.
A methodology and summary report of the Innovation Clusters Map.
Principles to support policymakers to consider the social aspects of grid transformation.
Estimates based on HMRC data to measure the size and economic performance of 3 tech sectors in the UK.
Final report on evaluation of the UK Space Agency's Centre for Earth Observation Instrumentation.
A report of the results and findings from the UK innovation diffusion and adoption survey.
Findings from the value for money (VfM) assessment of the Global Challenges Research Fund (GCRF).
Global Challenges Research Fund (GCRF) Stage 1b Synthesis report (2021 to 2022) assesses the evidence on programme processes and progress towards impact in GCRF’s six ‘signature investments.
Global Challenges Research Fund (GCRF) synthesis of evidence on GCRF’s Research Into Use (RIU) outcomes in Low and Middle Income Countries (LMICs).
UK public sector findings from a cross-government trial of AI coding assistants to understand how these tools could help software engineering.
An analysis of the UK’s AI sector, developing robust estimates of the scale and scope of firms developing AI products and services in the UK.
Insights from the UK-wide survey of the Research and Innovation workforce 2024.
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