The New Yorker recently published an insightful article called „We Know How You Feel - Computers are learning to read emotion, and the business world can’t wait.“, which discusses the potential of machine learning and big data. The author tells the story of how advanced facial recognition has developed. It is now possible to analyze single facial expressions and emotions we are not even aware of ourselves. That has triggered a lot of interest by advertisement companies. The goal is to increase the attention advertisements receive. One such company developing such software is Affectiva and it seems to be doing well.

Voice experts have trained computers to identify deep patterns in vocal pitch, rhythm, and intensity; their software can scan a conversation between a woman and a child and determine whether the woman is a mother, whether she is looking the child in the eye, whether she is angry or frustrated or joyful. Other machines can measure sentiment by assessing the arrangement of our words or by reading our gestures. Still others can do so from facial expressions.

You wonder what this has to do with open government? In another example the author discusses the recently introduced

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The role of data in social innovation

Jan / 27 / 2015

To get from A to B in a city the choices are stark: Public transport, taxi, your own car or bike. If you think that is a lot then skip till the end of this post. But if you are like me, always trying to find the best way to get to places and normally none of the options above satisfy you, then continue reading. A mayor problem to improve mobility is the little knowledge available on people's moving patterns...

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Introduction to Open and social Innovation and how to get started

Dec / 18 / 2014

This article was originally published in the GIZ publication "10 trends in open innovation - How to leverage social media for new forms of cooperation". Taking Down Barriers To Social Innovation How To Tackle Challenges Through Mass Collaboration Tumble dryers are part of many households – a modern convenience but also an appliance that has one of the highest energy consumption rates. Is there a way to reduce energy consumption associated with this device? At the Dynamic Demand Challenge, an...

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