On Thursday 8th June the UK is holding a General Election.
On Sunday 4th June election fever will be in the air: candidates crying clockwork catchphrases, pundits pontificating on polls, every citizen considering the choices before them. In other words, the perfect time for an election hackathon!
We have £450 set aside for breakfast, pizza, drinks and prizes. The odds of winning something are pretty high so consider bringing a whole team along! - Machine learning competition. There will be a Kaggle-inspired machine learning competition for predicting the outcome of UK general elections. SixFifty has been working hard to source and produce model-ready datasets for solving this problem. All that remains is for someone to solve it! - Voter engagement. For the hack most likely to get more people to turnout. - Use of open data. - Fanciest AI hack. - Most entertaining demo. - Audience favourite. - Best in show.
You don't have to use these, but they're a good start. - GE2017 Tech Initiatives Handbook: http://bit.ly/GE2017TechHandbook – Collection of resources, datasets, volunteers, existing projects, proposed projects. Initiated by Newspeak House. - UK Politics Datasets: http://bit.ly/UKPoliticsDatasets – Crowdsourced document of links to useful datasets & munging tools. Candidates, polling stations, constituencies, parliament voting records, parliament speeches, Hansard, previous election/referendum results, registered financial interests, boundary maps, shapefiles, campaign expenses, registration rates, candidates CVs, constituency stats, GE2017 manifestos… - Democracy Club: https://democracyclub.org.uk/data/ – Election identifiers, candidates' info since 2010 (name, email, photos, social media), polling stations, all CC-BY-SA. - mySociety: mySociety have created a range of tools including Parliamentary Monitoring, structured data on every national politician in the world, candidate data, contacting elected representatives, constituency/postcode matching tool MapIt, and published transcripts from all levels of government. - mySociety Geographic data: When it comes to building predictive models, geocoded data is quite handy. Official "open" data portals can be broken, or the data only available via mail-order CD, so mySociety's cache of OS, ONS, and OSNI open geographic data going back to 2010 is a gold mine. - SixFifty Datasets: https://github.com/six50/pipeline – Model-ready datasets for 2010/2015 elections, EU referendum, opinion polls at national/regional levels, all available in CSV, JSON and Feather.
Newspeak House, 133 Bethnal Green Rd, London E2 7DG. Newspeak House is a community space for political technologists. During the run-up to the June 8th election, Newspeak has opened a free co-working space to for anyone involved with a CivTech project to work together and share resources, expertise, coffee, strategy and camaraderie. For more information see http://bit.ly/GE2017WarRoomAtNewspeakHouse
SixFifty will be sponsoring prizes for election modelling: - The best predictive model for both the 2010 and the 2015 General Elections¹. - The best turnout model for both the 2010 and the 2015 General Elections¹.
Thank you to Prodo.AI and SixFifty.org.uk for sponsoring this event. - Prodo.AI makes machines write code for humans. Find out more at https://prodo.ai. - SixFifty.org.uk is a collaboration of data scientists, software engineers and political experts. Our goal is to use open data to analyse and model the general election.
We expect our code of conduct to be honoured, and anyone who violates this code of conduct may be asked to leave. We expect participants will: - Be friendly and patient - Be welcoming - Be considerate - Be respectful - Be careful in the words that we choose - Try to understand why we disagree - We encourage everyone to participate and are committed to building a community for all. If you experience or witness unacceptable behaviour—or have any other concerns—please report it by contacting us via email@example.com. We encourage you to read the full Code of Conduct here.
All submissions to the #GE2017 Hackathon remain the intellectual property of the individuals or organisations that developed them. We encourage participants to open source their projects to both share their hacks with the greater community and promote innovation in this space.
¹ ML competition conditions: Models must use prior data only (the results are a matter of historical record!). Code must be made openly available for review via GitHub. With the winner's permission, SixFifty will work with competition winners to publish the winning models with commentary on SixFifty.org.uk.
133 Bethnal Green Rd, London E2 7DG, UK
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