Don’t just look where the streetlight shines.
Big data studies often use easily available user-generated data from the Internet. Researchers assume that this data offers a window into reality. It doesn't necessarily.
Genomes don’t translate easily into an understanding of disease.
Big data is all well and good, but if we want medical breakthroughs, we'll need big theory too.
Not all data are the same.
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The Productivity Commission's inquiry into access and use of public and private data risks failing to achieve anything meaningful.
Social media is notoriously unsuitable for population studies, but these researchers have found a way to make the bias work in their favour.
Big data is not sufficient in Australia.
Improving data quality and accessibility will provide an important platform for business, policy innovation and academic research.
The ‘Lose Yourself in Melbourne’ ad was onto something: instead of being directed to the fastest or shortest route, some people might want to take a diverting detour.
'It's Easy to Lose Yourself in Melbourne', Tourism Victoria
If smart cities run on big data and algorithms that channel only 'relevant' information and opinions to us, how do we maintain the diversity of ideas and possibilities that drives truly smart cities?
The ABS has announced that it will retain the names and addresses collected in the 2016 Census.
By linking censuses through time or by combining other information with the census, many more important policy questions can be answered than if we used one dataset alone.
Christopher Edwin Nuzzaco/Shutterstock
Some of the key questions faced by news organisations before publishing their scoop.
Who has your personal data, and how secure is it? Do you even know?
Card and lock image from shutterstock.com
How should we address growing concerns about information security without denying society the benefits big data can bring?
Big data can reinforce human prejudices but it could also help us break away from discrimination.
Algorithms have the potential to change every business.
The disruption happening thanks to algorithms is happening all around us.
All that computer power will still need a helping hand from our uniquely human expertise.
Computers image via www.shutterstock.com
Computers are getting better and better at the jobs that previously made sense for researchers to outsource to citizen scientists. But don't worry: there's still a role for people in these projects.
Scientists today are inundated with data.
Big Data produces mountains of information, but it's useless for science unless we're asking the right questions.
Campaign for Nuclear Disarmament’s London to Aldermaston march, 1958: an early example of mass political mobilisation to achieve a specific goal.
Political campaigns today are presented as products of bottom-up participation, not top-down direction. But even if a campaign appears grassroots-driven, it's likely to be run from the centre.
Traffic jams in cities, such as this one in Atlanta, have economic costs, including lower productivity.
The route to economic growth starts by making our cities more productive – the bigger, the denser, the better.
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.
Hype before evidence.
They're flying off the shelves but here's what you need to know about whether fitness tracking devices work.
We know what we look like, but how do algorithms see us?
We increasingly depend on algorithms applied to big data, but even algorithms make mistakes that could label us in worrying ways
“You’re crushing my hand, Hillary.” “I know.”
An unedifying row over "stolen" data has the Democrats' political staffers at loggerheads.
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.