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2016 US Elections: PollyVote Predicts the Winner

The current US election is getting huge attention – as the potential candidates are more polarizing than ever before. The campaigns are public feuds, fought via all available social media channels.

But: what if we could predict, quite accurately, what the outcome of the election on November 8 will be? If all the guessing could be substituted by an objective view based on a sophisticated statistical model? This is what PollyVote does: the “evidence based election forecasting model” uses multiple predictions, aggregates the data and ultimately compute a prediction on who will win the election.

PollyVote Webpage

Date

Monday, April 4th, 2016

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[Hackathon] High Tech Storytelling: How to predict elections, using robot journalism?

Join us for a one day, virtual hackathon on December 17, 2015

Hackathon

Deutsche Welle Innovation aims to find out, based on a collaboration with Ludwig-Maximilians-University (Munich) and AX Semantics. The one day event will provide an opportunity for journalists, scientists and students to learn and play with the next wave of technologies usable in newsrooms. The day’s focus will be on prediction models and robot journalism, supported by design thinking as a method to develop impactful new offerings on digital platforms.

Date

Wednesday, December 2nd, 2015

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