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.
Why are some pages of a book of numbers tables more dog-eared than others?
Book image via www.shutterstock.com.
The first digits of numbers in a data set aren't distributed equally. And now you know more than a lot of fraudsters do – and should – when they're making up their phony numbers.
Whose hand is on the card?
The end-of-year shopping whirlwind is underway. How does your credit card issuer watch out for fraudulent purchases on your account amid all those transactions?
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.
Off to nab a would-be criminal?
Preventing crime before it happens, while saving resources, sounds like a great use of big data. But these calculated probabilities raise big questions about civil liberties.
There have never been more ways to monitor our personal health and well-being.
The availability of data is just the starting point – we then need to make sense of the data.
The Investigatory Powers Bill would require ISPs to store 12 months of our web browsing history – a year-long snapshot of our thoughts, fears, interests and behaviour.
By simulating cities from the "bottom-up", scientists can help us plan for the future.
The wisdom of crowds? An anti-corruption rally in India.
Could the key to countering a culture of bribery and greed be in the hands of the people?
Methane monster – landfill in Danbury, Connecticut.
Evan Schneider/UN Photo
Using more accurate data, researchers find that waste disposal at methane-emitting landfills is two times greater than previous EPA estimates.
Satellites weren’t enough to get a global number.
Sophisticated models and supercomputers allow researchers to create a high-fidelity map of the Earth's trees – and show that we’re losing billions of trees a year.
It’s all just data – how can it be prejudiced?
Math isn’t prejudiced, goes the argument. But these arithmetic programs can learn bias from the data fed into them by human beings, leading to unfair treatment and discrimination.
Eye testing in remote areas of Australia with the images stored and set via satellite to city-based specialists.
The health sector is good at using technology to help treat patients, but it's not so good with technology in the business of health care.