Award

GB-London: Policeometer - Understanding the trends in Policing and Crime KPIs (MOPAC 1084)

MAYORS OFFICE FOR POLICING AND CRIME

This public procurement record has 1 release in its history.

Award

20 Feb 2025 at 14:15

Award Notice
Summary of the contracting process

The Mayor's Office for Policing and Crime in London has completed the award stage for the "GB-London: Policeometer - Understanding the Trends in Policing and Crime KPIs (MOPAC 1084)" tender. This public procurement process, classified under CPV code 73110000 (Research services), seeks a partner to provide data collection, analytical model development, and scenario planning tools to better understand crime trends and public perception metrics across London. The awarded contract, valued at £58,525.25, will run from April 1, 2025, to March 31, 2026. The procurement method details were not specified.

This tender presents significant opportunities for businesses specialising in research and data analytics, particularly those capable of handling large datasets and developing econometric models. Companies that provide high-quality data integration and statistical modelling services would be well-suited to compete. Larger research firms and data analytics companies with the expertise to develop interactive scenario planning dashboards will find this contract highly beneficial for showcasing their capabilities and expanding their footprint in public sector projects. The successful bidder, Manning Gottlieb OMD, exemplifies the calibre of organisations that can leverage this tender for substantial business growth.

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Notice Information

Notice Title

GB-London: Policeometer - Understanding the trends in Policing and Crime KPIs (MOPAC 1084)

Notice Description

To develop the Policeometer project, we require a research and data analytics partner to provide the following key services: Data Collection and Integration Obtain and consolidate high-quality data on relevant societal factors (e.g., unemployment rates, cost of living, population density, police workforce hours, stop and search). This data should be granular (e.g. weekly records if available) and span an appropriate period to ensure robust analysis. Ensure data is accurate, reliable, and suitably formatted for statistical modelling, with preprocessing steps as needed to address any gaps, inconsistencies, or potential biases. Analytical Model Development Build econometric models (or equivalent analytical model) to estimate the relationships between societal factors and rates of crime across London. This includes developing a theoretical framework that identifies and structures the factors likely impacting crime rates. Build econometric models (or equivalent analytical model) to estimate the relationships between societal factors and trust and confidence in the MPS. This includes developing a theoretical framework that identifies and structures the factors likely impacting these factors. The analysis should test for statistical significance of each factor, with rigorous diagnostics to validate model results. Scenario Planning and Forecasting Tool Integrate the validated models into an interactive scenario planning dashboard, allowing users to adjust key variables and observe the predicted impact on rates crime and impacts on trust and confidence in the MPS. The tool should provide clear, visual outputs that support policy simulations, helping stakeholders evaluate the potential effects of different societal conditions on crime trends across London. Documentation and Training There are a total of 33 Boroughs in London and a 12 crime types as well as 2 public perception metrics we'd like modelling. We are not expecting a fully developed tool with nearly 400 models, rather we'd like a sample of 2-3 crime models and 1 perception model to act as the template and the knowledge to build the remainder ourselves. Provide detailed code and documentation of all analytical processes, assumptions, and limitations to ensure transparency and reproducibility. Offer training and guidance on developing further models and deploying the into scenario planning tool. SMART objective/ policy objective The successful provider will be bound by the commitments made in their tender.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-6950263a-9e36-49f1-8afc-9c623e2c9ae9
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/89beb45a-9168-4d49-8021-0e9b4e194ab8
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Not Specified
Procurement Method Details
Not specified
Tender Suitability
VCSE
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

73 - Research and development services and related consultancy services

CPV Codes

73000000 - Research and development services and related consultancy services

73110000 - Research services

Notice Value(s)

Tender Value
£58,525 Under £100K
Lots Value
Not specified
Awards Value
£58,525 Under £100K
Contracts Value
Not specified

Notice Dates

Publication Date
20 Feb 20251 years ago
Submission Deadline
17 Feb 2025Expired
Future Notice Date
Not specified
Award Date
17 Feb 20251 years ago
Contract Period
31 Mar 2025 - 31 Mar 2026 6-12 months
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Not Specified
Awards Status
Active
Contracts Status
Not Specified

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
MAYORS OFFICE FOR POLICING AND CRIME
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
LONDON
Postcode
SE1 0LL
Post Town
South East London
Country
England
Major Region (ITL 1)
TLI London
Basic Region (ITL 2)
TLI4 Inner London - East
Small Region (ITL 3)
TLI44 Lewisham and Southwark
Delivery Location
TLI London
Local Authority
Southwark
Electoral Ward
Borough & Bankside
Westminster Constituency
Bermondsey and Old Southwark

Supplier Information

Number of Suppliers
1
Supplier Name

MANNING GOTTLIEB OMD

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

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The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts. 

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