New data analysis competitions
- New data analysis competition on Kaggle: ultrasound nerve segmentation.
Big data and the elections 2016, an example on how to use Google Big Query.
Are you looking for a public API? Start here.
In a study they plan to present at the Privacy Enhancing Technology Symposium in Germany this July, a group of researchers from the University of Washington and the University of California at San Diego found that they could "fingerprint" drivers based only on data they collected from internal computer network of the vehicle their test subjects were driving, what's known as a car's CAN bus. In fact, they found that the data collected from a car's brake pedal alone could let them correctly distinguish the correct driver out of 15 individuals about nine times out of ten, after just 15 minutes of driving. With 90 minutes driving data or monitoring more car components, they could pick out the correct driver fully 100 percent of the time.
- Machine Bias. There's software used across the country to predict future criminals. And it's biased against blacks..
We obtained the risk scores assigned to more than 7,000 people arrested in Broward County, Florida, in 2013 and 2014 and checked to see how many were charged with new crimes over the next two years, the same benchmark used by the creators of the algorithm.
The score proved remarkably unreliable in forecasting violent crime: Only 20 percent of the people predicted to commit violent crimes actually went on to do so.
This is an investigation that spans several articles. Here you have the analysis carried out by the ProPublica people. One more reminder that technology is never going to be neutral.
Related to the previous one: the people at Partially Derivative have interviewed Jeff Larson, the data scientist behind ProPublica's investigation. The interview can be found here.