Source: https://tendernation.io/opportunities/01a13c0f-c03b-706f-9934-7377499103f5/gb-salisbury-could-you-or-somebody-you-know-win-the-data-science-challenge closed GB open procedure Suitable for SMEs # GB-Salisbury: Could you or somebody you know win the Data Science Challenge [Defence Science and Technology Laboratory (Dstl)](https://tendernation.io/buyers/defence-science-and-technology-laboratory-dstl) Open field Estimated value £10,000 to £113,000 Published 4 Apr 2017 Deadline Closed 5 Apr 2017 ## Who can bid - Buyer says suitable for SMEs The buyer ticked “suitable for SMEs” on the notice. Anyone can still bid. - Buyer says suitable for VCSEs The buyer ticked “suitable for voluntary, community and social enterprises” on the notice. - Open procedure Anyone can submit a full tender; there is no shortlisting stage. [More contracts for small businesses and VCSEs](https://tendernation.io/opportunities/for-small-businesses) ## About this tender 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 £40,000 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 [datasciencechallenge.org](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: [contracts.mod.uk/delta/signup.html](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'. Read full description ## CPV classification Research and development services and related consultancy services Source Contracts Finder (UK) [View official notice](https://www.contractsfinder.service.gov.uk/notice/644feb3f-6db6-40b9-a2dd-0222980bb7c1) Never miss a tender like this again Get AI summaries, deadline alerts and a bid pipeline for tenders matched to your business. Free to start. 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