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Register to vote Register by 18 June to vote in the General Election on 4 July.
This roadmap sets out how government and industry can work together to harness the power of a strong, industrialised UK CCUS supply chain.
Guidance for organisations wanting to take part in Phase-1 of the CCUS cluster sequencing process.
This net zero investment roadmap summarises the government’s CCUS policies and available investment opportunities.
This guide provides advice on extracting location data from archive materials such as paper maps, reports and other old data files/formats converted to electronic images or PDFs.
Case studies on how the benefits of new housing were captured as part of the appraisal of 3 transport schemes.
This document sets out government’s vision for the UK CCUS sector in the 2030s.
Summary details for the 6 projects that have been funded following the AHRC/DCMS Culture and Heritage Capital Research Call.
How to use a cost utility analysis to evaluate your digital health product.
An action plan setting out how government and industry can work in partnership to achieve the government’s ambition for CCUS.
How TAG can be used to make the case for transport investment that supports local economic growth objectives.
Government response to the Housing, Communities and Local Government Select Committee report on land value capture.
The Marine Management Organisation’s (MMO) sought an assessment of methods for confirming where fish sold ashore were originally caught. Four technique classes were identified as promising by the MMO including stable isotopes, lipids, trace elements and genetics.
How to enter interview results and issue these to candidates in vX. Guidance for recruiters.
Check the availability and any issues affecting the Electronic Data Capture Service (EDCS) online service.
Grant funding for projects developing novel technology and processes that reduce the cost of deploying CCUS (carbon capture, usage and storage).
This research is part of the Gender and Adolescence: Global Evidence (GAGE) programme
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