ESRC ADR UK No.10 Data Science Fellowship 2021
Lead Research Organisation:
University of Exeter
Department Name: Computer Science
Abstract
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 enable vital research to support better informed policy decisions and more effective public services.
Analytical projects will be co-designed during a three-month inception phase, followed by a 12-month placement with 10DS and ONS where fellows will produce analysis to inform policy in priority policy areas, using a range of administrative, survey and newly created linked datasets in the access-restricted ONS Secure Research Service funded by ADR UK.
Alongside undertaking specified research projects throughout the year, fellows will engage with stakeholders to champion data science across central government and support wider knowledge exchange with researchers on effective policy collaboration and data analysis and will spend a further period of up to three months to enable approved knowledge exchange impact and publication activity.
Analytical projects will be co-designed during a three-month inception phase, followed by a 12-month placement with 10DS and ONS where fellows will produce analysis to inform policy in priority policy areas, using a range of administrative, survey and newly created linked datasets in the access-restricted ONS Secure Research Service funded by ADR UK.
Alongside undertaking specified research projects throughout the year, fellows will engage with stakeholders to champion data science across central government and support wider knowledge exchange with researchers on effective policy collaboration and data analysis and will spend a further period of up to three months to enable approved knowledge exchange impact and publication activity.
| Description | The findings of my research have been presented to a wide range of government stakeholders to inform the direction of the work in this area, and to motivate further work needed to be done. They have shed light on the need of studying and understanding the cost of public transport and related issues, which is a topic that had not been received considerable attention until now. |
| Sector | Communities and Social Services/Policy,Transport |
| Impact Types | Policy & public services |
| Description | Grant agreement |
| Amount | £14,324 (GBP) |
| Organisation | Department of Transport |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2023 |
| End | 04/2023 |
| Title | Data set on cost of journeys |
| Description | I created a data set which contains the cost of rail journeys to access a range of services and destination. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | No |
| Impact | Once finalised and published, the data set will be of use to: - policy makers, for investigating and tackling inequalities in the rail transport system - academics interested in working with geospatial data on the cost of transport |
| Description | DfT research grant |
| Organisation | Department of Transport |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | I am supervising a Graduate Research Assistant on a project funded by the Department for Transport; my contribution is mainly my expertise and supervision of the GRA. |
| Collaborator Contribution | The department for transport is providing the research question, the data and the guidance of this project. |
| Impact | This has only recently started so there are no outputs yet. |
| Start Year | 2023 |
| Title | JTS Python package |
| Description | This is a python package to allow reproducible and easy access to a data set released by the Department for Transport. |
| Type Of Technology | Software |
| Year Produced | 2022 |
| Impact | This could be of great use to policy makers and academics interested in working with data on journey time statistics. |