If consumers are unsure of how that data was collected and used they are likely to reject the personalised content.
Brands need to build trust by being transparent about how they collect data.
The use of big data in policing has clear benefits for struggling police forces. But society needs to maintain a critical perspective on moral and ethical grounds.
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.
Big data provides a rich picture of the physical city, but it won't tell us much about the social city – that's where agent-based modelling comes in.
Images created by NASA with satellite data helped the U.S. Department of Agriculture analyze outbreak patterns for southern pine beetles in Alabama, in spring 2016.
Big data open-access publishing and other advances offer ecologists the ability to forecast events like pest outbreaks over days and seasons rather than decades. But scholars need to seize this opportunity.
Hindu women, who crossed over from Myanmar into Bangladesh, wait for their turn to collect aid at refugee camp in September 2017.
AP Photo/Dar Yasin
Today, there are more refugees and displaced people than ever before. Sophisticated analytics could be a game-changer for officials on the front lines of the crisis.
Artist’s view of Aqua, a NASA satellite in orbit around the Earth since 2002 that studies the water cycle.
Several satellites have been launched in recent years with the objective of measuring data related to climate change. They must be complementary to measurements made on earth.
China has introduced the Social Credit System in 12 demonstration cities.
Millions of Chinese citizens have been blacklisted by Chinese authorities from booking flights or high speed train tickets due to low social credit scores.
Is it just surfing or is it signal processing?
All earthly and celestial things emit signals. The science of signal processing, born in the 19th Century and now greatly advanced thanks to computers, allows us to better understand them.
Technologies for accessing information need to be somehow future-proofed.
The use of big data at work could promote well-being – but only in very specific conditions.
In the Global Biodiversity Information Facility there are 682,447 records of human encounters with dandelions.
Does big data threaten how humans explore the natural world? We need to protect our impulses to observe, compare, play, discover and love, no matter what technological capabilities are available.
Big data makes it a bit easier to guess your next move.
Predicting human behavior is big business. But science may never be able to do so with perfect certainty.
Telstra and the City of Joondalup have joined forces in a trial of ‘smart park’ applications at Tom Simpson Park.
Public spaces have become more, not less, important to our experience of cities in the digital era. These technologies can be used to confound and enlarge our experiences of and connections to place.
Many cities collect valuable data on themselves.
Many cities lack the resources to analyze their own vast troves of administrative data.
The risks of big data are not getting enough attention.
The latest episode of The Conversation's In Depth, Out Loud podcast, in which we read out a selection of long form stories.
How do we know that what people tweet is what they really think?
Twitter can be a useful tool in trying to predict what people think on an issue. So why did a study of almost half a million tweets on the same-sex marriage survey get it wrong?
Canadian Prime Minister Justin Trudeau and Sidewalk Labs CEO Dan Doctoroff launch Sidewalk Toronto, a high-tech urban development project.
Toronto has entered a joint venture with a Google sister company to create a high-tech urban development area. The goal is to 're-imagine cities from the internet up' – Google's internet, of course.
Teachers need to use their professional understanding and practical reasoning to assess the value of the proposed strategies and when, how and why they should be incorporated into their teaching.
It's not enough to base teaching and learning policy on big data analysis, evidence needs to be rich, persuasive and justifiable and provide practical support to develop teaching approaches.