Award

Innovative Technological Soluations For Sea Fisheries Control And Enforcement - Machine Learning

DEFRA NETWORK ETENDERING PORTAL

This public procurement record has 1 release in its history.

Award

02 Apr 2020 at 13:29

Award Notice
Summary of the contracting process

The procurement process titled "Innovative Technological Solutions For Sea Fisheries Control And Enforcement - Machine Learning" is initiated by Defra Network eTendering Portal and is focused on the provision of systems and technical consultancy services. This tender, classified under the CPV code 72220000, involves a desktop exercise to investigate the application of machine learning and artificial intelligence in fisheries control and enforcement. The procurement method employed is an open procedure below threshold, with the tender period having ended on 24th February 2020 and the contract period set from 6th March 2020 to 17th April 2020. The procurement location includes the United Kingdom and extends to various British Overseas Territories and regions in Europe.

This tender presents significant growth opportunities for technology firms specialising in data analysis, machine learning, and artificial intelligence. Companies with expertise in developing innovative solutions for enforcement and compliance, particularly those that can demonstrate experience with big data and analytical tools, may find this project particularly suited to their capabilities. With the increasing need for robust solutions to enhance fisheries management and compliance, businesses positioned in the consultancy and technological spheres are encouraged to explore potential collaborations or future tenders in this sector.

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Notice Information

Notice Title

Innovative Technological Soluations For Sea Fisheries Control And Enforcement - Machine Learning

Notice Description

1.1 The Authority is looking for Tenderer(s) for a desk top exercise seeking innovative technological solutions for sea and fisheries control and enforcement. 1.2 Defra and the Marine Management Organisation (MMO) would like to better understand the practicalities of using machine learning (and related areas such as artificial intelligence) for the purposes of fisheries control and enforcement. A desk-based exercise is required to build on previous Artificial Intelligence (AI) proof of concept work undertaken in 2018 looking at improving the efficiency and effectiveness of vessel inspections that take place at sea. 1.3 Machine learning used in analysis platforms has the potential to enable fishing activity to be identified and corroborated automatically, identifying apparent anomalies that characterise possible IUU fishing activity to be focussed on and analysed further. This has the potential to encourage greater levels of compliance, provide comprehensive intelligence and enable more efficient and effective enforcement methods. Data analysis platforms specialise in collecting large quantities of data ('big data') and analyse it through specific algorithms to reveal patterns, trends and associations. These platforms can present data to enforcement authorities through an intuitive interface to visualise complex data associations and create clear actionable outputs in the form of intelligence reports and real-time alerts for example. Data platforms support the current risk-based intelligence led approach to operational planning and enforcement. 1.4 We are keen to understand which existing projects or areas of work where machine learning and artificial intelligence is being trialled or currently used that has applicability to fisheries control and enforcement.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-36b467f8-a097-4a2c-955c-eb048d3325f1
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/4c1c07fa-fdf5-444f-804a-f4c4d6c60d29
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Open
Procurement Method Details
Open procedure (below threshold)
Tender Suitability
SME
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

72 - IT services: consulting, software development, Internet and support

CPV Codes

72220000 - Systems and technical consultancy services

Notice Value(s)

Tender Value
£50,000 Under £100K
Lots Value
Not specified
Awards Value
£50,000 Under £100K
Contracts Value
Not specified

Notice Dates

Publication Date
2 Apr 20205 years ago
Submission Deadline
24 Feb 2020Expired
Future Notice Date
Not specified
Award Date
4 Mar 20205 years ago
Contract Period
6 Mar 2020 - 17 Apr 2020 1-6 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
DEFRA NETWORK ETENDERING PORTAL
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
YORK
Postcode
YO1 7PX
Post Town
York
Country
England
Major Region (ITL 1)
TLE Yorkshire and The Humber
Basic Region (ITL 2)
TLE2 North Yorkshire
Small Region (ITL 3)
TLE21 York
Delivery Location
Not specified
Local Authority
York
Electoral Ward
Guildhall
Westminster Constituency
York Central

Supplier Information

Number of Suppliers
1
Supplier Name

FACULTY

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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