The week at Retraction Watch featured the corrections of papers claiming that conservative beliefs were linked to psychotic traits, and a new member of our leaderboard, from philosophy. Here’s what was happening elsewhere:
- Here’s how to handle an idiotic review, from Stephen Heard.
- “Fraud, bureaucracy and an obsession with quantity over quality still hold Chinese science back,” writes The Economist.
- Emilie Marcus, the editor of Cell, has a lot of questions about preprints. Lenny Teytelman responds.
- It’s time for science to evolve its way out of bad patterns, argue our co-founders in STAT.
- “Yesterday I made the decision to formally withdraw a chapter from an edited volume about themes for teaching Introductory Psychology,” writes Rajiv Jhangiani. Find out why.
- Researchers have made a breakthrough in public relations, promoting a study before it appears, says Andrew Gelman.
- “Notable cases of misconduct in oncology,” from Ajai Raj, Clinical Oncology News.
- How well do scientific collaborations work? It depends, according to a new paper in Scientometrics. (sub req’d)
- Columbia University broke the embargo on research by some of its scientists, prompting PNAS to lift the embargo early.
- An analysis shows that “there are precious few women heading scholarly publishing organizations or their Boards,” writes Alice Meadows. (Scholarly Kitchen)
- “Is Science Built on the Shoulders of Women?” A new study in Academic Medicine examines gender differences in contributorship.
- What university title and salary would you like? You can have virtually any, thanks to this site.
- An Army buddy’s call for help sent a biophysicist on a quest to understand brain injury, Jon Hamilton of NPR reports.
- “A university investigation into an academic, demoted after publishing research into racism on Brisbane buses, was so “infected by error” as to be useless, a workplace tribunal found.” (Jorge Branco, Brisbane Times)
- “How should we treat science’s growing pains?” asks Jerome Ravitz. (The Guardian)
- A graduate student at the University of Colorado, Boulder wants the university “to adopt a campus-wide transparent research policy requiring academics to publish data and information about their experiments.” (Sarah Kuta, The Daily Camera)
- Ranjit Chandra, found guilty of committing misconduct, failed to appeal the loss of a libel suit he brought against the CBC in time. (Glenn Payette, CBC)
- NIH decides to determine if there is a racial bias in its grantsmaking process. (Jeffrey Mervis, Science)
- A piece in Cancer Cytopathology highlights the growing trend of predatory journals. (Bryn Nelson)
- “How one California university faked students’ scores, skated by immigration authorities — and made a fortune in the process.” Molly Hensley-Clancy has the story for BuzzFeed.
- “This is not a simple story of author financial conflicts of interest, but rather a complex tale of ghost management of the entire process of bringing a drug to market.” A recent paper in Accountability in Research: Policies and Quality Assurance.
- “Who wrote that op-ed?” asks Paul Farhi of The Washington Post. “The New York Times isn’t sure.”
- What role do patents play in the reproducibility crisis? Jacob Sherkow takes a look in an SSRN preprint.
- A University of Missouri employee embezzled more than $740,000 over 15 years from a research center, Rudi Keller of the Columbia Tribune reports.
- “In all disciplines, first and last authors typically contribute to more tasks than middle authors,” reports a new preprint.
- Elsevier has acquired Hivebench, a lab notebook tool. (Harald Boersma, Elsevier Connect)
- Why are so many researchers moving to Qatar? Sarah Huggett and Lucy Goodchild van Hilten try to find out. (Elsevier Connect)
- “How did something as truly awful as panel discussions become the default format?” asks Duncan Green. (The LSE Impact Blog)
- Jill O’Neill wonders why we’re not talking about what the scholarly record is becoming. (Scholarly Kitchen)
- Want to be an entrepreneur on the side? Adriene Koh has some suggestions. (The Professor Is In)
- “How long does it take to do a PhD?” asks The Thesis Whisperer.
- “Gene editing can drive science to openness,” says Kevin Esvelt. (Nature)
- On television, “researchers use personal accounts as a way of reframing news stories introduced by the program hosts,” says Rony Armon. (Public Understanding of Science
, sub req’d, now free to access) - Google has launched Science Journal, which is not a science journal. (Napier Lopez, The Next Web)
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Some may find this useful (published this week):
Teixeira da Silva, J.A., Al-Khatib, A. (2016) Questioning the ethics of John Bohannon’s hoaxes and stings in the context of science publishing. KOME 4(1): 84-88.
http://komejournal.com/files/KOME_TdaSAceil.pdf
DOI: 10.17646/KOME.2016.16
The article “Why are so many researchers moving to Qatar?” can be recommended as a good example of contemporary Orwellian newspeak. Interesting that two female authors would compile an article that fades out obvious critical questions. Also in the news today: “Dutch woman jailed for reporting her rape in Qatar”.
If you can read between the lines, you will note that a great things about Qatar is that “Qatar airlines fly everywhere. When we have the opportunity, we just go somewhere; my family loves it…” or “Qatar is a fantastic place to live because it is so central … we can take our kids to Europe, Asia, and Africa to see the world”. So the best thing about the place seems to be that you can easily get away… (unless you’ve already been arrested like the Dutch woman).
I wonder if you might include in the next weekend reads the upcoming workshop, HORSE 2016 (http://c4dm.eecs.qmul.ac.uk/horse2016). A “horse” is a machine learning system promoted as solving a specific problem but that is actually solving an unrelated problem. Poor experimental methodology and unacknowledged assumptions and limitations are to blame. My research has uncovered several published “horses”, but retractions are not typical in my field (machine listening). HORSE 2016 is devoted to discussing “horses”, and promoting superior research methods in applied machine learning. So far, I have contributions from computational creativity, surveillence, finance, and reproducible research efforts. Thank you!
A good laugh:
http://www.valuewalk.com/2016/04/donald-trump-academic-article/?all=1
http://imgur.com/BYn8rVv