Tender

GB-Salisbury: Could you or somebody you know win the Data Science Challenge

DEFENCE SCIENCE AND TECHNOLOGY LABORATORY (DSTL)

This public procurement record has 1 release in its history.

Tender

04 Apr 2017 at 08:54

Tender Notice
Summary of the contracting process

The Defence Science and Technology Laboratory (Dstl) has initiated a tender titled "GB-Salisbury: Could you or somebody you know win the Data Science Challenge." This opportunity is focused on research and development services, specifically within the data science sector. The tender is currently at the active stage and was published on 4th April 2017, with a tender period concluding on 5th April 2017, and the contract period running from 6th April to 17th May 2017. Responses to this open procurement process can be expected from participants who can demonstrate their capabilities in processing and analysing large datasets, which will be conducted at the Dstl's location in Salisbury, UK.

This tender presents a significant opportunity for businesses, particularly data science firms and consultancy services, to participate in solving real-world challenges while vying for a share of the £40,000 prize fund. The challenges include vehicle detection in aerial imagery and crisis report classification, inviting innovative solutions from both small and medium-sized enterprises (SMEs) and voluntary community sector enterprises (VCSEs). Businesses engaged in research and development, data analytics, and consultancy services are well-suited to compete in this challenge, leveraging their expertise to potentially enhance their visibility and reputation within the public sector.

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Notice Information

Notice Title

GB-Salisbury: Could you or somebody you know win the Data Science Challenge

Notice Description

As an influential person in the data science community I thought that you, or one of your followers, would be interested in getting involved with the UK Government's sponsored Data Science challenges. The Data Science Challenges will launch on 3rd April 2017 and are sponsored by the Defence Science and Technology Laboratory (Dstl) as well as a number of other UK government departments. The challenges are designed to encourage the brightest minds in data science to help solve real-world problems. Entrants will also be able to track their progress using live leader boards. The top three entrants in each challenge will share a PS40,000 prize fund. The Data Science Challenge begins with two separate competitions that will test the participants' ability to mine large unstructured datasets to extract useful information: * SAFE PASSAGE: DETECTING AND CLASSIFYING VEHICLES IN AERIAL IMAGERY Being able to automatically detect and categorise vehicles in aerial imagery will dramatically improve how quickly we can assess and identify them. This challenge asks participants to detect and classify vehicles such as buses, cars and motorbikes, from a set of aerial images. * GROWING INSTABILITY: CLASSIFYING CRISIS REPORTS Analysing data in documents such as media reports can provide a better understanding of a potential crisis situation, growing instability in a particular region or, specific theme such as terrorism. Using news material, this challenge asks participants to predict topic tags for classifying unseen reports so that they can be used to improve awareness and understanding. The challenges are open to all data scientists (unless working for a challenge sponsor or supporting organisation). We would be very grateful if could please promote details of the Data Science Challenge within your network and community. Please let your network know about this great opportunity. To register or share, the link is https://www.datasciencechallenge.org/. Solutions can be submitted between the 3rd April and 17th May. Additional information: To view this notice, register as a supplier here: http://www.contracts.mod.uk/delta/signup.html?userType=supplier and search for the notice with reference 'GB-Salisbury: Could you or somebody you know win the Data Science Challenge'.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-644feb3f-6db6-40b9-a2dd-0222980bb7c1
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/a9dc6133-de29-45a6-88ac-975998540d6d
Current Stage
Tender
All Stages
Tender

Procurement Classification

Notice Type
Tender Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Open
Procurement Method Details
Open procedure
Tender Suitability
SME, VCSE
Awardee Scale
Not specified

Common Procurement Vocabulary (CPV)

CPV Divisions

73 - Research and development services and related consultancy services

CPV Codes

73000000 - Research and development services and related consultancy services

Notice Value(s)

Tender Value
£113,000 £100K-£500K
Lots Value
Not specified
Awards Value
Not specified
Contracts Value
Not specified

Notice Dates

Publication Date
4 Apr 20179 years ago
Submission Deadline
5 Apr 2017Expired
Future Notice Date
Not specified
Award Date
Not specified
Contract Period
5 Apr 2017 - 17 May 2017 1-6 months
Recurrence
Not specified

Notice Status

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

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
DEFENCE SCIENCE AND TECHNOLOGY LABORATORY (DSTL)
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
TLI London
Local Authority
Wiltshire
Electoral Ward
Winterslow & Upper Bourne Valley
Westminster Constituency
Salisbury

Further Information

Notice Documents

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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