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Content Type: Examples
As GPS began being increasingly incorporated into smartphones, satnav manufacturers like the Dutch company TomTom were forced to search for new revenue streams. In 2011, TomTom was forced to apologise when the Dutch newspaper AD reported that the company had sold driving data collected from customers to police, which used it to site speed cameras in locations where speeding was common. TomTom said that any information it shares had been anonymised; however, in response to the newspaper story…
Content Type: Examples
Uber has closely studied how dynamic pricing functions and when it's acceptable to users. One discovery is that round numbers signal haste and sloppiness where riders appear to believe that more precise numbers (for example, 2.1 instead of 2) have been carefully worked out by an algorithm. The company's head of head of economic research Keith Chen says that riders will pay up to 9.9 times the normal price if their phone's battery is almost dead, information the Uber app openly collects in order…
Content Type: Examples
In 2016, researchers at MIT's Computer Science and Artificial Intelligence Laboratory developed a new device that uses wireless signals that measure heartbeats by bouncing off a person's body. The researchers claim that this system is 87% accurate in recognising joy, pleasure, sadness, or anger based on the heart rate after first measuring how the individual's body reacts in various emotional states. Unlike a medical electrocardiogram, it does not require a sensor to be attached to the person's…
Content Type: Examples
In 2016, the Big Data lab at the Chinese search engine company Baidu published a study of an algorithm it had developed that it claimed could predict crowd formation and suggested it could be used to warn authorities and individuals of public safety threats stemming from unusually large crowds. The study, which was inspired by a New Year's Eve 2014 stampede in Shanghai that killed more than 30 people, correlated aggregated data from Baidu Map route searches with the crowd density at the places…
Content Type: Impact Case Study
What is the problem
Business models of lots of companies is based on data exploitation. Big Tech companies such Google, Amazon, Facebook; data brokers; online services; apps and many others collect, use and share huge amounts of data about us, frequently without our explicit consent of knowledge. Using implicit attributes of low-cost devices, their ‘free’ services or apps and other sources, they create unmatched tracking and targeting capabilities which are being used against us.
Why it is…
Content Type: Impact Case Study
What happened
Strong and effective data protection law is a necessary safeguard against industry and governments' quest to exploit our data. A once-in-a-generation moment arose to reform the global standard on data protection law when the European Union decided to create a new legal regime. PI had to fight to ensure it wasn't a moment where governments and industry would collude to reduce protections.
In January 2012, the European Commission published a proposal to comprehensively reform…
Content Type: Examples
For some months in 2017, in one of a series of high-risk missteps, Uber violated Apple's privacy guidelines by tagging and identifying iPhones even after their users had deleted Uber's app. When Apple discovered the deception, CEO Tim Cook told Uber CEO Travis Kalanick to cease the practice or face having the Uber app barred from the App Store.
External Link to Story
https://www.nytimes.com/2017/04/23/technology/travis-kalabnick-pushes-uber-and-himself-to-the-precipice.html
Content Type: News & Analysis
Ask people around you if they live in a smart city, and more likely than not they will answer that they don’t. I can tell you that because I have tried.
When giving talks about this very topic in cities like Berlin, The Hague and Stockholm, I always ask this question at the start. The rough ratio I tend to get is that: 15 per cent hesitantly raise their hand to say they do, 60 per cent don’t, 20 per cent just look confused and 5 per cent are not listening.
And yet most people who live in cities…