The Washington Post, Monkey Cage blog; Paul A. Djupe , Amy Erica Smith and Anand E. Sokhey
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In spring 2017, we surveyed nearly 1,700 political scientists and sociologists from more than 300 colleges and universities, mostly in the United States. We asked about their publications and how many articles they attempted to publish. The survey also included questions about social networks, psychological orientations, peer support and teaching.
Is there a gender gap in publication?
Our study confirms a sizable gender gap, particularly in publishing peer-reviewed journal articles. For every article women publish, we estimate men publish 1.23 articles.
The Institute in Critical Quantitative, Computational, and Mixed Methodologies (ICQCM) has been established at Washington University in St. Louis, thanks to a $500,559 National Science Foundation (NSF) grant to Odis Johnson, professor of sociology and of education, both in Arts & Sciences.
More than $1.1 million has been secured by Johnson and his partners from the NSF and the Spencer Foundation to support ICQCM.
Improving the use of biostatistics, predictive modeling and data science in cancer research is the focus of a new partnership between Purdue University and the Frederick National Laboratory for Cancer Research.
Timothy L. Ratliff, distinguished professor of comparative pathobiology and Purdue’s Robert Wallace Miller Director of the Center for Cancer Research, said the partnership will include the appointment and exchange of scientific staff, sabbatical opportunities, student training and postdoctoral fellowships.
Reddit’s dark corners can seem like a dangerous and seedy mess. With over 330 million users, the message board platform is vast and filled with posters obsessed with sports, hobbies, and hyper-specific public transit memes. But its far-right communities have peddled false-flag conspiracy theories, spread Islamaphobic and anti-semitic content, and encouraged violence. While the company has banned some of its worst message boards, it has often ignored or been slow to take action on other hateful communities.
Over the past several years, Reddit has moved to ban toxic, racist boards like r/EuropeanNationalism and r/MillionDollarExtreme, while allowing other communities, like r/CringeAnarchy and the r/The_Donald, to stay online even as their users posted racist comments in the wake of mass shootings and defended such violence. And according to the authors of a June academic paper on the company’s moderation practices, unless Reddit makes significant changes to how it enforces its policies, the company will always be at least one step behind in its battle against hateful content.
China is executing a winning strategy in the world of today. It is burning hard toward domination of the future space markets that will define the next century. They are planning infrastructure in space that will control 21st-century telecommunications, energy, transportation, and manufacturing. In doing so, they will acquire trillion-dollar revenues as well as the deep capabilities that come from continuous operational experience in space. This will deliver space dominance and global hegemony to China’s authoritarian rulers.
First, assume that you are at risk when sharing de-identified data and act accordingly. Protect de-identified data almost as diligently as you protect PHI. I do believe that soon companies will be sued because they’ve licensed or shared de-identified data, that data leaked, and a bad actor re-identified and abused it. Citing safe harbor won’t defend against a public outcry.
Second, educate your data scientists. I’ve seen data science teams decide to not join their data with a new external dataset that was available to them – and would have improved their models’ accuracy – because it would essentially amount to re-identification. If teams aren’t aware, they might inadvertently break the law. Make sure your data scientists know the legal and ethical limits.
David Starobinski and Johannes Becker, researchers from Boston University, uncovered that popular Bluetooth devices including iPhones, iPads, Apple Watches, and FitBits—and workplace essentials including MacBooks and Microsoft tablets and laptops—have a flaw that exposes device users to the risk of being tracked by unwanted adversaries.
In this Q&A, the researchers share how Bluetooth devices can be tracked, the implications of this discovery, and best-practices for protection.
Once we thought drivers, doctors, accountants, and lawyers were irreplaceable. And yet we are beginning to see computers encroaching on those fields. Now, even the most human of professions—those centered on creativity, something we thought of as uniquely human—seem to be programmable. Recently, Chase Bank found that machines generated ad copy that resonated better with audiences than human writers. So what isn’t within the realm of machine learning?
It’s a question that scholar Elaine Rich tackled in Computers and the Humanities. Rich writes, “Artificial intelligence tries to solve problems that occur in the world as it exists. Many of these center on people and the cultures they have created.” If programmers can “teach” an AI bot enough about human culture, Rich notes, the AI can do some pretty creative problem-solving.
Ahead of the official announcement of an FTC settlement, which could force YouTube to direct under-13-year-old users to a separate experience for YouTube’s kid-friendly content, the company has quietly announced plans to launch its YouTube Kids service on the web. Previously, parents would have to download the YouTube Kids app to a mobile device in order to access the filtered version of YouTube.
By bringing YouTube Kids to the web, the company is prepared for the likely outcome of an FTC settlement that would require the company to implement an age-gate on its site, then redirect under-13-year-olds to a separate kid-friendly experience.
… The advantage to “one app to rule them all” is obvious on its face. Patients would have fewer apps to download and engage with, advantages that seem more pronounced in more complex and comorbid patients. Organizations would also be able to guide patients to their preferred providers, treatments and services via a single app.
But there’s a significant problem with this approach.
When one platform tries to excel in a vast number of areas, it usually ends up doing them all badly. If you’ve used a leading marketing software platform that I won’t name, you know this to be true. And healthcare is even more difficult, because it’s at once more complex and more personal. It turns out it is pretty easy to build a complex and complicated product, but it is very hard to build a simple one, especially with a multitude of inputs and use cases.
Raytheon (NYSE: RTN) will build the Geostationary Littoral Imaging and Monitoring Radiometer, or GLIMR, sensor, under a contract from the University of New Hampshire. GLIMR, NASA’s selected Earth Venture Instrument-5 investigation, will be NASA’s first hyperspectral imager in geostationary, or GEO, orbit. Hyperspectral imaging collects and processes information from across the electromagnetic spectrum including visible light, infrared and ultraviolet frequencies to create a highly detailed view of physical and biological conditions in coastal waters.
Seattle, WA December 5 at University of Washington. “We are excited to hold a conference on the state of the art of deep learning compilation optimization.” [save the date]
“he TREAT Entrepreneur Fellowship Program is an immersive cooperative educational and professional opportunity for individuals seeking experience in technology translation and commercialization. TREAT, and its member organizations, developed a program to encourage the rapid adoption of the core principals of commercialization to empower rehabilitation entrepreneurs with the resources and skill sets needed to bring their idea or device to market.” Deadline for applications is October 7.
DataOps is an emerging set of agile practices, processes, and technologies for building and enhancing data and analytics pipelines to better meet business needs.
In this Python data science tutorial, we’ll use Pandas to analyze video game reviews from IGN, a popular video game review site, using data scraped by Eric Grinstein. Which console is winning the “console wars” (in the sense of having better-reviewed games)? This data set will help us find out.