The University of Strathclyde is offering a PhD scholarship in the following area:
Using Data Science to inform Policy Models
Scholarship Details
3 year scholarship covering Home/EU fees plus a stipend of approximately £14,777 per annum
Project Details
The aim of this project will be to design and evaluate a framework for coherently combining data science methods with system dynamics modelling. This will provide an understanding of the system level structure that explains dynamic behaviour through empirical findings identified within rich data. The project will then evaluate the framework in the context of adult social care.
The use of data science methods to inform system dynamics modelling provides a number of opportunities. Firstly, rich data can be used to provide rigorous evidence for input parameters to the system level model. Secondly, the data can be used to support insight to plausible theories or key system structures. This project will provide an important opportunity to impact strategic decision-making, enabling directed enquiry of data.
In conjunction with the Northern Ireland Department of Health, home care workforce planning has been identified as an area which could benefit from this work. Demand for adult social care is rising across the UK. Although increased home care workers are needed to meet this demand, continued reduction in public spending is impacting the future of home care providers and leading to calls for the need for fundamental reforms. Policy level models are required to consider the impact of such reforms and system dynamics modelling has proven impact in a social care and healthcare environment. The successful student will have access to experts in the Department of Health in Northern Ireland and will have the opportunity to test their framework in supporting strategic decision-making in the area of home care workforce planning.
Application deadline
31st March 2019
Further details and how to apply
https://www.strath.ac.uk/studywithus/postgraduateresearchopportunities/businesspgropportunities/managementsciencepgropportunities/usingdatasciencetoinformpolicymodels/
Contact Us
Informal enquiries to Professor Susan Howick [log in to unmask]
Or Professor John Quigley [log in to unmask]
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
|