Award

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

07 Aug 2024 at 09:55

Award Notice
Summary of the contracting process

The Home Office has recently awarded a contract to the University of Southampton to conduct a feasibility study on applying Machine Learning to evaluate irregular migration interventions. This study, classified under the industry category of "Feasibility study, advisory service, analysis" (CPV code 71241000), is valued at £119,590.53 and will take place in the South East region of the United Kingdom. The procurement process was carried out as a mini competition and has been marked as complete. The contract period starts on 26 March 2024 and will conclude on 31 March 2025.

This tender presents significant opportunities for businesses specialising in machine learning, data analysis, and advisory services. Given its focus on evaluating irregular migration interventions using advanced technology, businesses with experience in government projects or academic sectors are well-suited to compete in similar tenders. SMEs are particularly welcomed to participate in these types of mini competitions, which can bolster their market presence and contribute to substantial business growth.

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Notice Information

Notice Title

Feasibility of applying Machine Learning to the evaluation of irregular migration interventions

Notice Description

Feasibility study of applying Machine Learning to the evaluation of irregular migration interventions

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-87980140-87f6-4806-b70c-257ca2545db5
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/93a38d48-3490-4375-81ea-baf4c47760a1
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
Other - Mini competition
Tender Suitability
SME
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
£119,590 £100K-£500K
Lots Value
Not specified
Awards Value
£119,590 £100K-£500K
Contracts Value
Not specified

Notice Dates

Publication Date
7 Aug 20241 years ago
Submission Deadline
18 Mar 2024Expired
Future Notice Date
Not specified
Award Date
26 Mar 20241 years ago
Contract Period
26 Mar 2024 - 31 Mar 2025 1-2 years
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
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
Post Town
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
TLJ South East (England)
Local Authority
Westminster
Electoral Ward
St James's
Westminster Constituency
Cities of London and Westminster

Supplier Information

Number of Suppliers
1
Supplier Name

UNIVERSITY OF SOUTHAMPTON

Further Information

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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