Educational

Examples, Explainer, Educational Case Study, Course, Guide

In 2015, IBM began testing its i2 Enterprise Insight Analysis software to see if it could pick out terrorists, distinguish genuine refugees from imposters carrying fake passports, and perhaps predict bomb attacks. Using a scoring system based on several data sources and a hypothetical scenario, IBM
03 Mar 2017
In 2017, the New York Times discovered that Uber had a secret internal programme known as "Greyball", which used data collected from the Uber app and other techniques to identify and bar regulators and officials from using its service. As the company expanded into new areas, its standard practice
In 2015 Hong Kong's Face of Litter campaign used DNA samples taken from street litter and collected from volunteers to create facial images that were then posted on billboards across the city. The campaign, conceived by PR firm Ogilvy & Mather and organised by online magazine Ecozine and the Nature
23 Apr 2017
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
Case Study

As society heads toward an ever more connected world, the ability for individuals to protect and manage the invisible data that companies and third parties hold about them, becomes increasingly difficult. This is further complicated by events like data breaches, hacks, and covert information

Explainer
What is SOCMINT? Social media intelligence (SOCMINT) refers to the techniques and technologies that allow companies or governments to monitor social media networking sites (SNSs), such as Facebook or Twitter. SOCMINT includes monitoring of content, such as messages or images posted, and other data
Explainer
What is integrated policing? Integrated policing is the collection and centralisation of data used for policing purposes. In the era of ‘big data’, companies – often the same companies offering infrastructures for smart cities – are offering interfaces that allow police easier access to datasets
Case Study

Cities around the world are deploying collecting increasing amounts of data and the public is not part of deciding if and how such systems are deployed.

Smart cities represent a market expected to reach almost $760 billion dollars by 2020. All over the world, deals are signed between local

Case Study

For those concerned by reporting of Facebook’s exploitation of user data to generate sensitive insights into its users, it is worth taking note of WeChat, a Chinese super-app whose success has made it the envy of Western technology giants, including Facebook. WeChat has more than 900 million users

Case Study

Our connected devices carry and communicate vast amounts of personal information, both visible and invisible.

What three things would you grab if your house was on fire? It’s a sure bet your mobile is going to rank pretty high. It’s our identity, saying more about us than we perhaps realise. It

Case Study

As society heads toward an ever more connected world, the ability for individuals to protect and manage the invisible data that companies and third parties hold about them, becomes increasingly difficult. This is further complicated by events like data breaches, hacks, and covert information

Case Study

Political campaigns around the world have turned into sophisticated data operations. In the US, Evangelical Christians candidates reach out to unregistered Christians and use a scoring system to predict how seriously millions these of voters take their faith. As early as 2008, the Obama campaign

Case Study

Financial services are collecting and exploiting increasing amounts of data about our behaviour, interests, networks, and personalities to make financial judgements about us, like our creditworthiness.

Increasingly, financial services such as insurers, lenders, banks, and financial mobile app

Case Study

Gig economy jobs that depend on mobile applications allow workers’ movements to be monitored, evaluated, and exploited by their employers.

The so-called “gig economy” has brought to light employers’ increasing ability and willingness to monitor employee performance, efficiency, and overall on-the