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.
Some water researchers are ignoring the evidence offered by sampling if it doesn’t fit their preconceived notions. But science should always be honest and open.
It is arrogant and hypocritical for ranking institutions to declare that they’re building Africa’s legacy or its global partnerships on the continent’s behalf.
Without data, people don’t know what to believe or whom to trust. Empirical, thorough data collected by academics can help to fill important governance gaps.
Analyzing electronic data from many doctors’ experiences with many patients, we can move ever closer to answering the age-old question: what is truly best for each patient?
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.
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.
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.
Honorary Enterprise Professor, School of Population and Global Health, and Department of General Practice and Primary Care, The University of Melbourne
Former postdoctoral researcher on machine learning applied to chemical engineering and currently science communicator for the National Museum of Emerging Science and Innovation (Miraikan), University of Tokyo