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In August 2016, the Australian government released an "anonymised" data set comprising the medical billing records, including every prescription and surgery, of 2.9 million people. Names and other identifying features were removed from the records in an effort to protect individuals' privacy, but a research team from the University of Melbourne soon discovered that it was simple to re-identify people, and learn about their entire medical history without their consent, by comparing the dataset to other publicly available information, such as reports of celebrities having babies or athletes having surgeries.

Interesting article discussing how ai is being used in medical diagnoses

journalists often write about public opinion polls, which are designed to measure the public's attitudes about an issue or idea. Some of the most high-profile polls center on elections and politics. Newsrooms tend to follow these polls closely to see which candidates are ahead, who's most likely to win and what issues voters feel most strongly about. Other polls also offer insights into how people think. For example, a government agency might commission a poll to get a sense of whether local voters would support a sales tax increase to help fund school construction. Researchers frequently conduct national polls to better understand how Americans feel about public policy topics such as gun control, immigration reform and decriminalizing drug use. When covering polls, it's important for journalists to try to gauge the quality of a poll and make sure claims made about the results actually match the data collected. Sometimes, pollsters overgeneralize or exaggerate their findings. Sometimes, flaws in the way they choose participants or collect data make it tough to tell what the results really mean. Below are 11 questions we suggest journalists ask before reporting on poll results. While most of this information probably won't make it into a story or broadcast, the answers will help journalists decide how to frame a poll's findings - or whether to cover them at all.

some examples of how the 3 types of machine learning - supervised, unsupervised, and reinforcement - have already been used for journalistic purposes, and using those to explain what those are along the way. Examples include: supervised learning to investigate doctors and sex abuse; unsurprivsed learning to identify motifs in Wes Anderson films; reinforcement learning to create a rock-paper-scissors that can beat you...

When we launched Beyond the blade earlier this year, we wanted to know how many young people and children were being killed by knives in the UK. Who are these young people being killed?, Where are they dying? Is the scale of the issue changing, and if so how? We spoke to experts about the number of children and teenagers affected in Britain and Northern Ireland. We checked with the Office for National Statistics, the Home Office, politicians, academics and thinktanks. But the answer to how many young people are dying every year, it seemed, was that nobody knows. So we started trying to find out. Until now, there has been no publicly available information about the demographic profiles of those who have died from knife attacks in the UK

The eBook contains 16 short stories about brilliant Australian research data projects that have led to real-life impacts for Australia and beyond. It is intentionally very punchy and image-led. The stories were collected during ANDS' #dataimpact campaign which ran through 2016.

Everyone loves a good conspiracy theory. After all, who doesn't sometimes feel like the world we know is secretly being run by a race of human-reptile hybrids? Most of us don't take this kind of thing seriously.Most of us think we'd never fall for a conspiracy theory, but as it turns out, there just might be a little guy wearing a tinfoil hat inside all of us.

Going beyond a surface level analysis of the statistics to delve deeper into the story A similar contrast can be seen in the census data on the religiosity of Australians. The census asks participants to state their religion. The answers reveal that while on the one hand Australians are becoming less religious, on the other they are becoming more religiously diverse. In the 2011 census, 68.3% of people identified themselves as having a religion. This was down from 69.5% in 2006. However, the census does not tell the whole story. It cannot tell us how often a person attends a church, mosque, synagogue or temple. It cannot tell us how often a person prays or performs some other religious ritual.

hen the AP United States history students at Aragon High School in San Mateo California, scanned the professionally designed pages of www.minimumwage.com, most concluded that it was a solid, unbiased source of facts and analysis. They noted the menu of research reports, graphics and videos, and the "About" page describing the site as a project of a "nonprofit research organization" called the Employment Policies Institute. But then their teacher, Will Colglazier, demonstrated how a couple more exploratory clicks-critically, beyond the site itself-revealed that the Employment Policies Institute is considered by the Center for Media and Democracy to be a front group created by lobbyists for the restaurant and hotel industries. "I have some bright students, and a lot of them felt chagrined that they weren't able to deduce this," said Colglazier, who videotaped the episode last January. "They got duped."

The quest for balance in a health news story can fail before the first sentence if the headline isn't appropriately calibrated. With that in mind, I looked at news stories and releases that we reviewed over the past month and compared the headline message with that of the study on which the news is based. About a third of news story headlines and a quarter of news release headlines either misstated the results or went beyond what the research could support.

How we track our economy influences everything from government spending and taxes to home lending and business investment. The Conversation series The Way We Measure takes a close look at economic indicators to better understand what's going on. Ever since 1944, Gross Domestic Product (GDP) has been a primary measure of economic growth. It's in the news regularly and, even though few can define what it means, there is general acceptance that when GDP is growing, things are good. There are problems with this simplistic formulation.

Interesting links to different sources discussing data on teacher pay, and what it shows in relation to different things that stakeholders might care about. educator pay varies significantly across states, from an average of $44,921 in Oklahoma to $77,957 in New York. Why should school administrators and government leaders care about teacher pay - beyond wanting their employees to be able to afford their living expenses? Below, we present research that examines this issue. What scholars have found is that teacher salaries are linked to employee retention and that better pay seems to draw smarter people to the field and into the classroom. It's not clear, however, whether higher salaries result in higher student achievement.

Social media algorithms, artificial intelligence, and our own genetics are among the factors influencing us beyond our awareness. This raises an ancient question: do we have control over our own lives? This article is part of The Conversation's series on the science of free will.