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Feasibility of applying machine learning to the evaluation of irregular migration interventions

Home Office

This public procurement record has 1 release in its history.

Award

10 May 2024 at 14:42

Award Notice
Summary of the contracting process

The Home Office, a UK government ministry responsible for public order and safety, has awarded a contract for the feasibility of applying machine learning to the evaluation of irregular migration interventions. This services procurement was conducted through a limited procurement method using an award procedure without prior publication. The contract, valued at £119,590.53 GBP, was signed on 26th March 2024. The buying organisation is located at 2 Marsham Street, London, SW1P 4DF, United Kingdom.

This contract presents an opportunity for businesses specialising in AI techniques and research services to engage with the UK government. The procurement stage has already concluded with the award made to the University of Southampton and the University of Catania. Businesses interested in supplying innovative solutions in the public order and safety sector should monitor similar tenders for potential future collaborations.

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Notice Information

Notice Title

Feasibility of applying machine learning to the evaluation of irregular migration interventions

Notice Description

This contract is for the feasibility of AI techniques in research.

Lot Information

Lot 1

This contract is for the feasibility of AI techniques in research

Procurement Information

Capable suppliers were researched and approached, a competition between interested suppliers was ran. The most economically advantageous supplier was then awarded the contract.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-h6vhtk-0458ca
Publication Source
Find A Tender Service
Latest Notice
https://www.find-tender.service.gov.uk/Notice/015023-2024
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Limited
Procurement Method Details
Award procedure without prior publication of a call for competition
Tender Suitability
Not specified
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

71 - Architectural, construction, engineering and inspection services

CPV Codes

71241000 - Feasibility study, advisory service, analysis

Notice Value(s)

Tender Value
Not specified
Lots Value
Not specified
Awards Value
Not specified
Contracts Value
£119,590 £100K-£500K

Notice Dates

Publication Date
10 May 20242 years ago
Submission Deadline
Not specified
Future Notice Date
Not specified
Award Date
26 Mar 20242 years ago
Contract Period
Not specified - Not specified
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Cancelled
Awards Status
Active
Contracts Status
Active

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
Home Office
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
SW1P 4DF
Postcode Area
South West London
Country
England
Major Region (ITL 1)
TLI London
Basic Region (ITL 2)
TLI3 Inner London - West
Small Region (ITL 3)
TLI35 Westminster and City of London
Delivery Location
Not specified
Local Authority
Westminster
Electoral Ward
St James's
Westminster Constituency
Cities of London and Westminster

Supplier Information

Number of Suppliers
2
Supplier Names

University of Catania

University of Southampton

Further Information

Open Contracting Data Standard (OCDS)

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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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