The squeeze on wealth in the middle class by those at the top is a long established trend in international inequality data. But the ABS doesn’t provide this information.
Not everyone who could vote did vote in the voluntary postal vote on same-sex marriage. So what can we draw from the result if only four out of five eligible Australians took part?
We are observing two new phenomena. On one hand doubt is shed on the quality of entire scientific fields or sub-fields. On the other this doubt is played out in the open, in the media and blogosphere.
Saturated media coverage of hurricanes like Harvey and Irma can make it seem like disasters happen all the time. Is the frequency of billion-dollar disasters really rising?
Today algorithms are ubiquitous, yet often misunderstood. Rather than mysterious entities, they’re closer to recipes, and the quality of the output depends on the input – in their case, data.
Lenka Zdeborova, Commissariat à l’énergie atomique et aux énergies alternatives (CEA)
Methods stemming from decades of research on disordered materials are used to describe algorithmic phase transitions, and to design new algorithms in machine-learning problems.
The unpredictability of women’s tennis in 2017 should make us strongly question the performance of the official rankings – and not simply the players’ performance.
Researchers need to be able to draw conclusions based on previously published studies in their field. A new aggregation method synthesizes prior findings and may help reveal more of the big picture.
Rand Wilcox, USC Dornsife College of Letters, Arts and Sciences
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.
Professor, Future Fellow and Head of Statistics at UNSW, and a Deputy Director of the Australian Centre of Excellence in Mathematical and Statistical Frontiers (ACEMS), UNSW Sydney