Roughly one-third of the league won't be trying to win this season. What's fueling this trend?
Amazon, Facebook and Google have lofty goals for their effects on global society. But people around the world are still waiting for the positive results. Here's what the tech giants could do.
Data science can map where street harassment is most prevalent, ensure public bins don't overflow and identify neighbourhoods with poor fire safety standards in the home.
Artificial intelligence and data analytics are transforming the practice of law.
Cities are expanding upwards and downwards, as well as outwards. With urban density also increasing, moving people efficiently around the city, often using ageing infrastructure, is quite a challenge.
The data you create when using the internet can actually be used to discriminate against you.
Noise around extreme practices drowns out how data analytics is being used in everyday ways. To really consider control of our data we must look beyond Cambridge Analytica.
The privacy backlash over Cambridge Analytica and Facebook may lead to explosive consequences for academics.
Business managers often rely on predictive algorithms to make recruiting decisions that affect a company's bottom line. But these kinds of algorithms aren't really "predictive" at all.
July 30 marks the United Nations’ World Day Against Trafficking in Persons. How can computer scientists help combat this problem?
Any field that collects and analyzes data relies on statistical techniques to make sense of it all. Modern, more accurate methods should supplant the old ways... but in many cases, they haven't yet.
Policy changes such as the 'lockout laws' have had profound impacts on inner Sydney nightlife. Transport data help us see whether these have caused problems to spill over into neighbouring areas.
Despite its promises, people analytics has serious ethical implications and can adversely affect organisations and how people are treated at work.
Candidates and campaigns are analyzing voters endlessly this election season. But the internet allows us to turn the tables and obtain a wide variety of data about them, too.
People in all manner of professions from economists and real estate agents to stockbrokers and doctors are beginning to recognise the huge potential and power of unconventional data.
The Australian census is just one way to gather data on people. We also freely give out information in other ways that can be used to study many things, and maybe even predict an election result.
On Twitter's 10th birthday, we look at how researchers have used the platform for a range of studies, from predicting the next flu outbreak to identifying the happiest city in America.
The contrast between Trump's no-data approach and Clinton's analytics-heavy campaign offers an opportunity to evaluate the role, and usefulness, of data in political campaigns.
Most industries tap into big data these days – meaning more and more jobs are opening up in this field. Here's some background on the skills and qualities you'd use as a modern big data professional.
We need the skills to put big data to use before others leave us behind.