Award

DSTL0000008511_Transfer Learning and Bayesian Inference within Smart Cities

DEFENCE SCIENCE AND TECHNOLOGY LABORATORY

This public procurement record has 1 release in its history.

Award

12 Dec 2022 at 14:17

Summary of the contracting process

The Defence Science and Technology Laboratory has awarded a contract titled 'Transfer Learning and Bayesian Inference within Smart Cities' to The University of Newcastle Upon Tyne. The contract falls under the research services category with a total value of £120,534. The procurement method used was a direct single tender action, and the contract period is from November 7, 2022, to September 30, 2027. The tender was initiated on June 30, 2022, with the award date being November 7, 2022. The contracting process took place in England, with the buying organisation located in Salisbury.

This awarded contract presents an opportunity for businesses interested in research services within smart cities. Companies specialising in similar research fields and those capable of delivering innovative solutions in the smart cities industry would be suitable competitors. The Defence Science and Technology Laboratory's procurement stage was completed through a direct single tender action process, making it crucial for interested businesses to monitor such opportunities through direct engagement with the buying organisation. The contract provides a valuable reference point for companies seeking to grow their presence in the research services sector for smart city applications.

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Notice Title

DSTL0000008511_Transfer Learning and Bayesian Inference within Smart Cities

Notice Description

Contract already awarded - published for transparency purposes only.

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-c6baef34-5f1a-4454-a404-06a532564a55
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/3dd906c3-d018-4344-9999-07c4f97eded5
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Standard
Procurement Category
Goods
Procurement Method
Direct
Procurement Method Details
Single tender action (below threshold)
Tender Suitability
Not specified
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

73 - Research and development services and related consultancy services


CPV Codes

73110000 - Research services

Notice Value(s)

Tender Value
£120,534 £100K-£500K
Lots Value
Not specified
Awards Value
£120,534 £100K-£500K
Contracts Value
Not specified

Notice Dates

Publication Date
12 Dec 20223 years ago
Submission Deadline
30 Jun 2022Expired
Future Notice Date
Not specified
Award Date
7 Nov 20223 years ago
Contract Period
7 Nov 2022 - 30 Sep 2027 4-5 years
Recurrence
Not specified

Notice Status

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

Contracting Authority (Buyer)

Main Buyer
DEFENCE SCIENCE AND TECHNOLOGY LABORATORY
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
SALISBURY
Postcode
SP4 0JQ
Post Town
Salisbury
Country
England

Major Region (ITL 1)
TLK South West (England)
Basic Region (ITL 2)
TLK7 Gloucestershire and Wiltshire
Small Region (ITL 3)
TLK72 Wiltshire
Delivery Location
Not specified

Local Authority
Wiltshire
Electoral Ward
Winterslow & Upper Bourne Valley
Westminster Constituency
Salisbury

Supplier Information

Number of Suppliers
1
Supplier Name

THE UNIVERSITY OF NEWCASTLE UPON TYNE

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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