Use of artificial intelligence and predictive analytics in Local Government

Predictive analytics and related data science approaches are increasingly being used by councils. They are being used in many ways, from identifying which heating boilers in council houses are most likely to fail (so they can be replaced first), to helping judge levels of risk for children’s safeguarding. The use of these technologies is at an early stage and councils where this is happening are still evaluating both impact and operational questions – e.g. what staffing and governance arrangements are required.

With this in mind, the LGA has recently begun a new project to gather learning about the application of predictive analytics in local public services – from complex areas such as improving support to households with multiple or complex needs, to areas such as repairs and maintenance.

As part of this, the LGA are looking for 25-30 officers from different councils who would find it useful to join a short peer learning programme aimed at councils where predictive analytics are starting to be used, or have been used, for some time. We welcome officers from a variety of roles, including service delivery and data analysis. You do not need to be a data scientist to take part – discussion will cover strategic areas such as the ethics of predictive analytics, governance structures and the commissioning of services.

This peer learning programme will consist of three face to face meetings all held in London at the LGA on:

  • Monday 3rd February 2020
  • Monday 2nd March 2020
  • Monday 20th April 2020.

These sessions will be a chance to share learning with other councils, explore problems and challenges, and enable the sector more widely to develop a clearer narrative about how these technologies can be applied, what they are suited to, and how to embed them effectively. Alongside the peer learning, work will be going on to develop a written guide for the wider local government sector, containing best practice and useful case studies (which we hope can come from the peer learning participants).

We have commissioned Shared Intelligence to lead this work along with an experienced data scientist who brings experience from the commercial sector and will join the peer learning discussions and contribute to the written guide.

If you would like to take part in the peer learning, please respond to by 14 January 2020 with the following information:

  • Your name and role
  • Confirmation you can make the peer learning session dates
  • Your own level of experience in data science
  • How your authority is currently using predictive analytics (250 words maximum)
  • Whether your authority is developing its approach with external support/outsourced provision, or through an in-house team
  • How you think the peer learning will be beneficial to you and your authority (150 words maximum)
  • Confirmation that a senior officer at director level or higher has given their personal support to you taking part
  • Whether you would be interested in also taking part in a smaller advisory group to review the written guide.
posted by LGA Data & Productivity Team on 18th December 2019

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