--- title: "GB-Salisbury: Could you or somebody you know win the Data Science Challenge" ocid: "ocds-b5fd17-644feb3f-6db6-40b9-a2dd-0222980bb7c1" canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-644feb3f-6db6-40b9-a2dd-0222980bb7c1" markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-644feb3f-6db6-40b9-a2dd-0222980bb7c1.md" json_url: "https://d3tenders.com/contract/ocds-b5fd17-644feb3f-6db6-40b9-a2dd-0222980bb7c1.json" source: "Contracts Finder" current_stage: "Tender" buyer: "DEFENCE SCIENCE AND TECHNOLOGY LABORATORY (DSTL)" published: "2017-04-04" --- # GB-Salisbury: Could you or somebody you know win the Data Science Challenge Buyer: DEFENCE SCIENCE AND TECHNOLOGY LABORATORY (DSTL) Current stage: Tender OCID: ocds-b5fd17-644feb3f-6db6-40b9-a2dd-0222980bb7c1 [View canonical contract page](https://d3tenders.com/contract/?ocid=ocds-b5fd17-644feb3f-6db6-40b9-a2dd-0222980bb7c1) [Download OCDS JSON](https://d3tenders.com/contract/ocds-b5fd17-644feb3f-6db6-40b9-a2dd-0222980bb7c1.json) ## Summary 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. ## Notice 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'. ## Key Details | Field | Value | | --- | --- | | Publication source | Contracts Finder | | Latest notice | https://www.contractsfinder.service.gov.uk/Notice/a9dc6133-de29-45a6-88ac-975998540d6d | | 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 | | All stages | Tender | ## Dates | Field | Value | | --- | --- | | Publication date | 4 Apr 2017 | | Submission deadline | 5 Apr 2017 | | Future notice date | Not specified | | Award date | Not specified | | Contract period | 5 Apr 2017 - 17 May 2017 | | Recurrence | Not specified | ## Values | Field | Value | | --- | --- | | Tender value | £113,000 | | Lots value | Not specified | | Awards value | Not specified | | Contracts value | Not specified | ## Status | Field | Value | | --- | --- | | Tender status | Active | | Lots status | Not specified | | Awards status | Not specified | | Contracts status | Not specified | ## Buyer | Field | Value | | --- | --- | | Main buyer | DEFENCE SCIENCE AND TECHNOLOGY LABORATORY (DSTL) | | Locality | SALISBURY | | Post town | Salisbury | | Postcode | SP4 0JQ | | Country | England | | ITL 1 | TLK South West (England) | | ITL 2 | TLK7 Gloucestershire and Wiltshire | | ITL 3 | TLK72 Wiltshire | | Local authority | Wiltshire | | Electoral ward | Winterslow & Upper Bourne Valley | | Westminster constituency | Salisbury | | Delivery location | TLI London | ## CPV Codes ### Divisions - 73 - Research and development services and related consultancy services ### Codes - 73000000 - Research and development services and related consultancy services ## Release History - 4 Apr 2017 at 08:54 - Tender - Tender Notice - https://www.contractsfinder.service.gov.uk/Notice/a9dc6133-de29-45a6-88ac-975998540d6d ## Documents - https://www.contractsfinder.service.gov.uk/Notice/a9dc6133-de29-45a6-88ac-975998540d6d 4th April 2017 - Opportunity notice on Contracts Finder ## Notice URLs - http://www.contracts.mod.uk/delta/signup.html?userType=supplier - https://www.datasciencechallenge.org/ ## Provenance This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-b5fd17-644feb3f-6db6-40b9-a2dd-0222980bb7c1. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-b5fd17-644feb3f-6db6-40b9-a2dd-0222980bb7c1.json.