New data analysis competitions


  • EU launches public consultation into fears about future of internet.

    A succession of surveys over the coming weeks will ask people for their views on everything from privacy and security to artificial intelligence, net neutrality, big data and the impact of the digital world on jobs, health, government and democracy.

  • Another article on the blackbox problem. Our Machines Now Have Knowledge We'll Never Understand.

    We are increasingly relying on machines that derive conclusions from models that they themselves have created, models that are often beyond human comprehension, models that "think" about the world differently than we do.

    But this comes with a price. This infusion of alien intelligence is bringing into question the assumptions embedded in our long Western tradition. We thought knowledge was about finding the order hidden in the chaos. We thought it was about simplifying the world. It looks like we were wrong. Knowing the world may require giving up on understanding it.

  • Algorithm Aims to Predict Bickering Among Couples.

    Most of conflict-monitoring experiments with real-life couples have previously taken place in the controlled settings of psychology labs. Researchers with the Couple Mobile Sensing Project at the University of Southern California, in Los Angeles, took a different approach by studying couples in their normal living conditions using wearable devices and smartphones to collect data. Their early field trial with 34 couples has shown that the combination of wearable devices and artificial intelligence based on machine learning AI could lead to the future of smartphone apps acting as relationship counselors.

  • Cambridge Analytica Explained: Data and Elections.

    Recently, the data mining firm Cambridge Analytica has been the centre of tons of debate around the use of profiling and micro-targeting in political elections. We've written this analysis to explain what it all means, and the consequences of becoming predictable to companies and political campaigns.

    [...] The idea that a single company influenced an entire election is also difficult to maintain because every single candidate used some form of profiling and micro-targeting to persuade voters — including Hillary Clinton and Trump's competitors in the primaries. Not every campaign used personality profiles but that doesn't make it any less invasive or creepy!

Data Links is a periodic blog post published on Sundays (specific time may vary) which contains interesting links about data science, machine learning and related topics. You can subscribe to it using the general blog RSS feed or this one, which only contains these articles, if you are not interested in other things I might publish.

Have you read an article you liked and would you like to suggest it for the next issue? Just contact me!