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
The lead contacts are: Lesley Smith, Senior Principal Research Officer, Analysis, Research and Co-ordination Unit, Analysis and Data Directorate: Lesley.Smith@levellingup.gov.uk and David Hughes, Head of the Chief Scientific Adviser’s office: psChiefScientificAdviser@levellingup.gov.uk.
This question was published as part of the set of ARIs in this document:
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 EXETER
The project involves utilizing linked administrative data created by government and public bodies to support better informed policy decisions and more effective public services.
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
The project involves utilizing linked administrative data created by government and public bodies to support better informed policy decisions and more effective public services.
There is great potential for understanding more about our society through better use of data that already exists and by linking different datasets together. Using existing data is not only efficient and cheaper than coll...
Funded by: ESRC
Lead research organisation: Queen's University Belfast
The project focuses on maintaining confidence in the use of administrative data for research and fostering commitment from government to increased access and use of administrative data.