Details of Grant 

EPSRC Reference:	EP/R033382/1
Title:	People Powered Algorithms for Desirable Social Outcomes
Principal Investigator:	Hodges, Dr DD
Other Investigators:	Jones, Dr WB Coles-Kemp, Professor L Ashenden, Professor D Buckley, Dr O J
Researcher Co-Investigators:
Project Partners:	GCHQ Sunderland City Council
Department:	Cranfield Defence and Security
Organisation:	Cranfield University
Scheme:	Standard Research
Starts:	01 August 2018	Ends:	01 March 2022	Value (£):	906,693
EPSRC Research Topic Classifications:	Artificial Intelligence Information & Knowledge Mgmt
EPSRC Industrial Sector Classifications:	Information Technologies
Related Grants:
Panel History:	Panel Date Panel Name Outcome 06 Mar 2018 DE TIPS 2 Announced
Summary on Grant Application Form
Algorithms increasingly govern interactions between state and citizen and as the 'digital by default' model of government-citizen interaction spreads this will increase. This increase, combined with the value of data science and how AI and machine learning is embraced as a way to achieve efficiency and carry out public policy we need to consider how algorithms mediate real-world relationships between the state and individuals. Without confidence in the legitimacy and credibility of the algorithms the trust between government and citizens will dramatically degrade. Our research will therefore focus on algorithmic interactions between the citizen and the state and examine how we form productive and trusted relationships between those designing, deploying and using the algorithmic interactions and the communities affected by the decisions. We will examine three key public policy areas where algorithmic decision-making is used for aspects of policy deployment: refugee resettlement, welfare and healthcare provision. These three areas have been selected as they are at the forefront of services that developed as part of digital by default, where issues of cost are addressed, in part, by algorithmic decision making to evaluate legitimate service access and use. Additionally, these are areas of significant public spending where the intended users of these services are more likely feel excluded and disenfranchised from mainstream society. Our research will examine how the re-designing of the system interactions and the communication of the political and economic logic will enhance the security and well-being of individuals, protects the security of the state and increases the confidence in digital service design.
Key Findings
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Potential use in non-academic contexts
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Further Information:
Organisation Website:	http://www.cranfield.ac.uk