Award

Mixed-initiative human-machine teaming and explainable AI

DEFENCE SCIENCE AND TECHNOLOGY LABORATORY

This public procurement record has 1 release in its history.

Award

17 Aug 2022 at 06:59

Award Notice
Summary of the contracting process

The Defence Science and Technology Laboratory has awarded a contract for the project titled "Mixed-initiative human-machine teaming and explainable AI" under the category of Research services. The procurement method used was selective, with a total contract value of £199,819.96 GBP. The tender process concluded on July 22, 2022, with the contract period running from August 8, 2022, to March 31, 2023. The project is based in the South East region of the United Kingdom.

This tender, awarded to Frazer Nash Consultancy Ltd, offers opportunities for businesses involved in research services to collaborate with the Defence Science and Technology Laboratory. Small and medium enterprises (SMEs) would be particularly well-suited to compete for this contract. Businesses with expertise in Human Computer Interaction (HCI), Linked Data, Argumentation, Causality, and Uncertainty can leverage their skills to contribute to the FDS project's goals of generalizing Data Science and AI.

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Notice Information

Notice Title

Mixed-initiative human-machine teaming and explainable AI

Notice Description

The Future Data Science (FDS) project seeks to generalize Data Science by creating and demonstrating the underpinning science through which the machine will be able to re-use its models with a confidence of validity, and generalize (broaden) Data Science and AI to answer counterfactuals. The FDS project runs for 3 years , with work in each year themed under the broad titles of discovery, delivery and evaluation. The primary goal in this first year is therefore to develop a deep understanding of the following topics, (1) Human Computer Interaction (HCI), (2) Linked Data, (3) Argumentation, (4) Causality and (5) Uncertainty.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-375b7fe2-1adb-4d86-9d08-0bfa91264dcb
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/47b84677-519f-407e-a971-a72b0845611f
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Framework
Procurement Category
Services
Procurement Method
Selective
Procurement Method Details
Call-off from a framework agreement
Tender Suitability
SME
Awardee Scale
SME

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
£199,819 £100K-£500K
Lots Value
Not specified
Awards Value
£199,819 £100K-£500K
Contracts Value
Not specified

Notice Dates

Publication Date
17 Aug 20223 years ago
Submission Deadline
22 Jul 2022Expired
Future Notice Date
Not specified
Award Date
24 Jul 20223 years ago
Contract Period
7 Aug 2022 - 31 Mar 2023 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
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
FAREHAM
Postcode
PO17 6AD
Post Town
Portsmouth
Country
England
Major Region (ITL 1)
TLJ South East (England)
Basic Region (ITL 2)
TLJ3 Hampshire and Isle of Wight
Small Region (ITL 3)
TLJ36 Central Hampshire
Delivery Location
TLJ South East (England)
Local Authority
Winchester
Electoral Ward
Southwick and Wickham
Westminster Constituency
Fareham and Waterlooville

Supplier Information

Number of Suppliers
1
Supplier Name

FRAZER NASH CONSULTANCY

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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