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East Mids Policing Academic Collab.

East Mids Policing Academic Collab.

1 Projects, page 1 of 1
  • Funder: UK Research and Innovation Project Code: ES/P001556/1
    Funder Contribution: 152,512 GBP

    In a climate of diminishing budgets, falling police officer numbers and a growing number of calls related to "public safety and welfare" (College of Policing, 2015) senior police officers have highlighted the need to manage crime and anti-social behaviour (ASB) differently (Thornton, 2015; Habgood, 2015). Research conducted by HouseMark suggests that the cost of tackling ASB to UK social landlords alone was approximately £295 million in 2012/13 (Wickenden, 2014). With this in mind, the primary research focus is to establish: Who experiences or witnesses ASB and in what context? A number of police forces have received criticism for their lack of understanding in relation to the intensity of harm to communities and vulnerable individuals caused by ASB (HMIC, 2010). The proposed study will address this gap in knowledge by providing a more comprehensive understanding of ASB victims, harm and vulnerability. It will draw on data from four sources: Understanding Society (2009/10-2014/15), the Crime Survey for England and Wales (2009/10-2014/15), the 2011 UK Census and the English Indices of Deprivation. Collectively, this will build a comprehensive picture of the individuals, households and areas most likely to experience: high prevalence of ASB; a strong link between ASB and crime victimisation; severe impact of ASB victimisation on quality of life and daily routine; and high levels of dissatisfaction with police response to ASB. The proposed research will constitute the most comprehensive study of the relationship between victim and neighbourhood characteristics to date, including deprivation, community cohesion and trust. The research has real potential to inform policy and practice, including resource allocation (e.g. patrolling strategies), planning policy, victim assistance, the design of the built environment and wider interventions to address ASB. The research will involve working collaboratively with a stakeholders including: the Office for National Statistics, Nottingham Crime and Drugs Partnership and two major regional partnerships: the East Midlands Policing Academic Collaboration and East Midlands Collaborative HR Services. The five East Midlands police forces employ over 14,000 police officers and staff, covering a population of over 4.5 million. These relationships will ensure the findings are directly implemented into regional learning and practice. Findings will be publicised via: four peer-reviewed journal articles; a policy paper co-authored with a practitioner; online content (blog, Twitter); press releases; three Advisory Committee meetings; a policy roundtable; an end of project conference; and three conference presentations. Collectively, this activity will ensure the research is accessible and disseminated widely. Criminology is currently undersupplied with trained secondary data analysts despite the availability of a wealth of existing large and complex datasets which, if examined, would offer invaluable theoretical insights and assist policymakers. An important outcome from the research will be to increase that capacity within criminology via training the Research Staff to undertake advanced secondary data analyses as well as enhancing the experience of the Early Career Researcher (PI) in managing large research projects. The ability to provide a more effective response to ASB is particularly important at a time when budgets are being drastically reduced. The research team comprising of senior, middle and early career researchers, are collectively experts in data linking, have published extensively using secondary data and have a track record of delivering impactful research. The proposed research will enable the team to conduct internationally-leading research, develop the capacity of an early career researcher (PI), work collaboratively with non-academic stakeholders to extract maximum value from existing data resources and produce research with high societal and economic impact.

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