Hackdays Data Mining
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Let's jam with open data science to hack the planet!

Meet at the ETH (TBC) + EPFL (TBC) + parallel locations (TBC with coders and designers, statisticans and data scientists, hacks and hackers, citizens of all backgrounds to work with open data and open hardware on the subject of statistics and emotions, evidence based decision making and fake news.

We are inspired by «Truth WithIn StatisTics» (#TWIST2018) and MakeZürich, by Hack4SocialGood and NLP Hackathons in Bern, by DataJamDays and Climathons, and many other awesome events, like the 10-years-running open data Hackdays community in Switzerland.

This will be a loosely organized, non-commercial open event oriented towards people who want to spend quality time together, to make a positive difference, however small, in the responding to climate change with data and A.I. We promise that participants will not be inundated with spammy marketing and hiring requests, but we will also ensure that the event provides good advice and a meaningful experience (+ a certificate to pad your CV) for people looking for opportunities in this sector.

One of the sub-goals of this event will be to make hackathons more portable and viral for opening data science to a wider audience. Everyone will go home with a small "goodie bag" with instructions on running your own event, and access to exciting and useful tools. We will have a small workshop on location focusing on awesome hackathon platforms. If you would like to contribute tools and ideas towards this, please let us know.

Participation is free of charge, however we will ask you to make a small payment on registration which can be reimbursed on check-in to the event. Any proceeds of unclaimed registration fees will go to charity.

The hackdays will start on Friday at 9 o’clock, with new arrivals welcome throughout the day. The event will finish with final presentations on the following day at 16 o’clock and a closing apéro.

We are still trying to define the dates and times. Please contact open@datalets.ch if you are interested in hosting, sponsoring, or supporting the event in any way.

Post a challenge after logging in here using your GitHub account. Make sure to link to any datasets you want to explore. We recommend publication on open portals such as Renkulab.io and Datahub.io.

Resources
All attendees, sponsors, partners, volunteers and staff at our hackathon are required to agree with the Hack Code of Conduct. Organisers will enforce this code throughout the event. We expect cooperation from all participants to ensure a safe environment for everybody. For more details on how the event is run, see the Guidelines on our website.

Creative Commons LicenceThe contents of this website, unless otherwise stated, are licensed under a Creative Commons Attribution 4.0 International License.

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