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.
Cambridge Analytica CEO Alexander Nix.
The privacy backlash over Cambridge Analytica and Facebook may lead to explosive consequences for academics.
The global market for predictive analytics is growing.
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.
Ngwe Thein says he was forced to work on a fishing trawler with inadequate food and little or no pay.
APTN, Esther Htusan/AP Photo
July 30 marks the United Nations’ World Day Against Trafficking in Persons. How can computer scientists help combat this problem?
Collecting the data comes first, but then you have to analyze the data.
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.
In one regard, lockout laws have succeeded in decreasing crime. But take a step back to see a city-wide perspective, and there are many other issues to consider.
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.
There are reasons to believe the promise of people analytics may not live up to the hype.
Despite its promises, people analytics has serious ethical implications and can adversely affect organisations and how people are treated at work.
When they’re talking, what are they really telling us?
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.
An increasingly diverse array of geospatial, network and time-series data is being used to generate new perspectives and insights. Here we see air traffic in England and Wales visualised over satellite images.
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.
Who’ll be the next president of the United States – Donald Trump or Hillary Clinton?
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.
Each tweet that relays an emotion, opinion or idea joins millions of others.
"Globe" via www.shutterstock.com
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.
Will campaigns’ data use help determine the election?
Pie chart via shutterstock.com
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.
Perhaps your career path is paved with big data.
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.
Big data, what can it do for us - and when?
We need the skills to put big data to use before others leave us behind.
It’s a lot for a person to puzzle out… call in the computers!
Modern biological research relies on big data analytics. Vast reservoirs of memory and powerful computing ability mean machines find patterns and make meta-analyses and even predictions for scientists.
The Large Hadron Collider is playing a key role in enabling the collection of big data.
Big data is about processing large amounts of data. It is often associated with multiplicities of data. But the ability to generate data outpaces the ability to store it.
What you get out is what you put in.
Keys image via www.shutterstock.com
Analyzing big data sets holds the promise of big insights. But the axiom "garbage in, garbage out" is particularly apt, since conclusions can be only as good as the raw data itself.
decisions by Suphaksorn Thongwongboot/shutterstock.com
We think that more information means better decisions, but really it means we struggle to make decisions at all.
Governments produce enormous amounts of data. The open data movement wants to make that available to all citizens.
The open data movement is gaining momentum but we need to reflect on our priorities and values in order to make further progress.
Clinical trials rely on statistics to show whether drugs are more effective than placebo pills. But how can we be certain?
Statistics are valuable tools for researchers - but may not be as reliable as we think. New research suggests the widely-used P value is inappropriate.