Problem Solving and Demand Reduction Programme

Date published: 19 March 2020 13:19

About the programme

In 2017, South Yorkshire Police was awarded £6.35 million of funding from the Home Office to deliver a national problem solving and demand reduction partnership working initiative over three years.

The programme of work will help to transform ways of working across the police at a local, regional and national level, by embedding problem solving as a core discipline.

To do this, we are currently running numerous work streams, including:

  • A peer support network, which offers police forces across the UK guidance and support in implementing the problem solving discipline
  • The programme is supporting NPCC leads to deliver national problem solving workshops in specialist theme areas, facilitated by subject matter experts. Previous workshops include Autocrime, Synthetic Cannabinoids, Acute Behavioural Disorders, Troubled Families, Serious Acquisitive Crime and Anti-Social Behaviour
  • A learning and development work stream, to develop guidance and minimum standards of training to embed problem solving within the policing and partnership arena
  • An evaluation work stream, to develop the evidence base on the impact of problem solving and demand reduction activities in police forces by evaluating local pilots and updating the effects of the approach on crime and disorder
  • A demand reduction work stream, that aims to give a better understanding of demand nationally and collaborate on projects to reduce, transfer and minimise demand on services. This work stream has already supported the publication of a research report into demand management practices within police forces
  • The creation of a national repository - the National Problem Solving and Demand Reduction Knowledge Hub page - to share notable practice amongst police forces and partner agencies
  • The pilot of an IT system for use by South Yorkshire Police, Humberside Police and local authority partners, to enable the sharing of information regarding victim, offenders and locations for the first time
  • The programme is directly supporting the implementation of the newly created Neighbourhood Policing Guidelines in forces across the UK
  • The re-introduction of The Tilley Awards, which celebrate problem oriented projects that have achieved measurable success in resolving issues faced by the police, partners and/or the community. The finalists from the Tilley Awards present their entry at the National Problem Solving Conference, organised by the programme.

For more information on the programme, get in touch using the details below.

The programme's Privacy Notice can be found here.

Get in touch

You can contact the Problem Solving and Demand Reduction Programme team by:

Our vision

“Creating opportunities to reduce demand for police and partners by embedding a structured problem solving ethos and capability”

National Problem Solving Conference

The programme facilitates the National Problem Solving Conference annually.

Post-event information from last year's conference can be found here. Podcasts of the workshops and the PowerPoint slides used by keynote speakers can be found on our Knowledge Hub.

Bookings are now being taken for the 2020 National Problem Solving Conference at

The Tilley Awards

Applications for this year's Tilley Awards are now closed.

Finalists were announced on 24th January 2020 and the five 2019/20 category winners are:

Business support and volunteers- Lancashire Constabulary, A volunteer led response to preventing and reducing online child victimisation and offending

- Neighbourhoods- Durham Constabulary, Operation Endurance

- Police Now and Student Officers- South Yorkshire Police, Minimising Demand on Police from Missing Mental Health Patients at Kendray Hospital

- Investigations- Cheshire Police, Operation Waterside

- Partners- West Mercia Police, We Don’t Buy Crime

Copies of submissions to last year's awards can be found on the programme's Knowledge Hub page.


You can view a copy of our external announcements, here: