Inno Team’s Eva Lopez testing output created with the alpha version of VR editor Fader
As the newest team member, my first task was pretty straighforward: talk to the colleagues, ask their opinion on what was in important in 2016, and familiarize myself with the formidable projects currently pursued by @dw_innovation. The material I collected turned out to be a very good basis for a year in review post. So here is exactly that. (more…)
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.
