Posted on: 7 March, 2019
Application deadline: March 29, 2019
ESRC funded PhD studentship: Using administrative data to improve neighbourhood environmental services and outcomes, Faculty of Social Sciences, University of Stirling, Scotland
Neighbourhood environmental problems, such as dog fouling and road repairs, are key issues for citizens and a core part of the business of local authorities. This doctoral research project provides an exciting opportunity for the successful candidate to work with local councils in Scotland, and the Scottish national Improvement Service for local government to understand more about these basic service issues.
As cuts to public services have been rolled-out since 2010, local councils have been forced to move from relying on regular neighbourhood and road inspections to target services such as cleaning or repairs, to relying much more on citizens reporting directly via email, web portals, telephone contact centres and also apps such as FixMyStreet. This means councils delivering the these environmental, waste and repair services hold a lot of administrative data: records of reports of issues by citizens; systems allocating jobs to work teams; audits of environmental quality in neighbourhoods. Some of this data is publicly available already, but is rarely presented at a neighbourhood-level using maps to allow comparisons between neighbourhoods.
The proposed PhD project would be co-produced with local councils, via the Improvement Service and with local authorities. It aims to understand the potential of such data in transforming how councils and citizens understand service delivery in neighbourhoods. It would explore what the barriers are to local councils make such data readily available to allow citizens to understand patterns of service delivery. It would also work with citizens to understand how they would interpret the data and the possible benefits and risks of this. Finally, it would work with partner local authorities and the Improvement Service to understand the benefits of using the data for informing service improvements and performance benchmarking by local councils.
The project would suit a candidate with an interest in local public services and neighbourhood conditions, who has excellent skills in statistical analysis and the ability to work well with partners outside academia, including communities and non-specialist audiences.
About the institution
Applicants must meet the following eligibility criteria:
- A good first degree (2i or above) in a social science subject, preferably social policy, public policy or public administration, or a good Masters-level qualification (Merit or above, or equivalent);
- Skills and confidence in analysing statistical data
- Excellent communication skills, both written and oral
- Excellent project management skills
An interest in the research topics of this research: local public services; public service management and citizen engagement in service delivery. Applicants may also have:
- Experience of involving research-users and citizens in the co-production of research.
- Skills in the spatial analysis of statistical data, including mapping and Geographic Information Systems (GIS)
The scholarship is available as a +3 or a 1+3 programme depending on prior research training. This will be assessed as part of the recruitment process. The programme will commence in September 2019. It includes
- an annual maintenance grant at the RCUK rate (2019/20 rate £15,009 full-time)
- fees at the standard Home rate
- students can also draw on a pooled Research Training Support Grant, usually up to a maximum of £750 per year
- Applicants register on GradHub and fill out EO data (this is a requirement of the application process)
- Applicants complete and upload the prescribed list of required documentation to include:
- Application form
- Academic transcripts
- Any other additional questions as specified by the supervising team – this should be uploaded in a standalone document with a naming convention as follows
- Applicants submit application through GradHub https://gradhub.sgsss.ac.uk
Name: Dr Peter Matthews