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What can DLUHC learn from other organisations who are using a data science approach? What drives organisations to develop cutting edge data science? And how can this support delivery in our policy areas?

Background

We are keen to hear about cutting-edge approaches the research community is using which could have applications to our work. Particularly in ground-breaking evaluations, with robust focus on impact and value for money, what works and using more innovative techniques and data sharing

Next steps

The lead contacts are: Lesley Smith, Senior Principal Research Officer, Analysis, Research and Co-ordination Unit, Analysis and Data Directorate: [email protected] and David Hughes, Head of the Chief Scientific Adviser’s office: [email protected].

Source

This question was published as part of the set of ARIs in this document:

DLUHC Areas of research interest GOVUK

Related UKRI funded projects


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    Funded by: ESRC

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    The project focuses on knowledge exchange, research design, and engaging stakeholders in data science and AI, which aligns with the question's interest in learning from other organizations and driving cutting-edge data science.

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    Why might this be relevant?

    The project addresses the importance of data skills, training, and community development in data science, which partially aligns with the question's interest in learning from other organizations and driving cutting-edge data science.

  • The University of Salford and Irwin Mitchell LLP KTP 21_22 R5

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    Funded by: Innovate UK

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    The project focuses on creating a data science and machine learning capability, which partially addresses the question about learning from other organizations and developing cutting-edge data science.

  • ESRC ADR UK No.10 Data Science Fellowship 2021

    Collaborating with 10 Downing Street's data science team (10DS) and the Office for National Statistics (ONS), the fellow will utilise linked administrative data created by government and public bodies across the UK to en...

    Funded by: ESRC

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    Why might this be relevant?

    The project can fully answer the question by collaborating with 10 Downing Street's data science team and the Office for National Statistics to utilize linked administrative data for research and policy decisions.

  • ESRC ADR UK No.10 Data Science Fellowship 2021

    Collaborating with 10 Downing Street's data science team (10DS) and the Office for National Statistics (ONS), the fellow will utilise linked administrative data created by government and public bodies across the UK to en...

    Funded by: ESRC

    Lead research organisation: University of Leeds

  • ReComp: sustained value extraction from analytics by recurring selective re-computation

    As the cost of allocating computing resources to data-intensive tasks continues to decrease, large-scale data analytics becomes ever more affordable, continuously providing new insights from vast amounts of data. Increas...

    Funded by: EPSRC

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  • Future Data Services: Strategic Fellowship 2022

    The UK has a rich and generally well-supported data services landscape. However, in the coming years, there are likely to be a number of challenges in the provision of data services: recent years have seen significant ch...

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  • Future Data Services Senior Strategic Fellowship

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  • Data Storytelling for Digital Research Infrastructure

    Note: invitation to apply was sent to Igor Tkalec, the project lead, on Tue 6/18/2024 4:56 PM. The project proposes to imbue researchers with skills in data storytelling, which is a data communication approach whereby th...

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    Lead research organisation: University College London