A Data Science Central Community
The challenge is an open-ended contest to find new insights using our exclusively prepared datasets, and propose how these new insights can be used to create social or economic value in the form of new products, services, or businesses.
Submissions will be judged on technical ability, creativity, practicality, and their potential for generating social or economic impact. Anybody can download our datasets and enter the contest and submissions will be judged by a panel made up of experts from academia and industry. The best submissions will be showcased on Imperial College's Data Science Institute website.
There are also prizes for the top-ranking UK student submissions thanks to sponsorship from Research Councils UK: 1st place - £4000; 2nd place - £3000; 3rd place - £2000. All prizewinners will be offered a mentoring session with Clive Humby, inventor of theTesco Clubcard, and director of social analytics startup Starcount, and start-up support from Imperial Create Lab, Imperial College’s own innovation pre-accelerator. Prizes will be awarded at the UK Digital Economy conference at Imperial College in December 2014.
You will need to (a) accept the terms & conditions, (b) select the dataset(s) to download, and then (c) provide a valid email address in order to access our exclusively prepared datasets. Find out more about the Summer Data Challenge datasets below.
The contest is open to all, where the best submissions will be showcased on our website. There are prizes for UK university student entires.
To access our exclusively prepared datasets and submit an entry you must agree to our T&Cs and provide a valid email address.
Entries must be submitted by 31st October 2014. Details on how to submit an entry will be sent to everybody who has downloaded any of the datasets.
A static or dynamic/interactive visual insight or storytelling generated using all or part the dataset.
A Web application developed in any programming language, providing it uses all or part of the dataset.
Algorithms or applied statistics on all or part of the dataset used to discover or highlight correlations and trends.
Entries must include (a) a description of the visualization/Web application/data analysis and (b) a statement of how the entry could potentially generate social or economic value. For parts (a) and (b) text of up to 2 pages each should be included as a Word or PDF document. For part (b) we encourage you to alternatively use the Business Model Canvas template. Supporting technical material should also be submitted where appropriate: e.g. Source-code (Java/C#/Ruby/Python etc.), analysis scripts (R, MATLab etc.), analysis protocols, derived data etc.