Welcome to Things we read this week, a weekly post featuring articles from around the internet recommended by BMJ’s Digital Group members.
- Nature News and Elaine Devine in the LSE Impact Blog comment on Publons Global State of Peer Review report.
- Aileen Fyfe from the University of St Andrews looks at the history of peer review at the Royal Society and the problem of unconscious bias.
- Jessica K. Polka and colleagues call on journals to sign a pledge to make reviewers’ anonymous comments part of the official scientific record and Wiley and Clarivate Analytics Partner to Launch Innovative Open Peer Review.
- For a couple of years The BMJ has been routinely inviting patient and public reviewers to review research papers alongside academic peer reviewers. This week BMJ Open published the results of our survey about their experience of being involved in the peer review process
Artificial intelligence and machine learning
- Nature have a new toolbox article on how artificially intelligent tools for literature and data exploration might be used to automate how hypotheses are generated and validated
- Quartz have a new series, Prescription: AI which explores the promise of artificial intelligence to personalize, democratize, and advance medicine—and interrogates the potential dangers of handing over decision-making to data and machines.
- McKinsey on how artificial intelligence can deliver real value to companies
- We’ve been playing with Scholarcy an AI-powered Google Chrome extension that claims to “simplify the process of reading research by breaking research down into manageable chunks and giving you the essential information.
- Tom Simonite in Wired about Using Artificial Intelligence to Fix Wikipedia’s Gender Problem
- Philippe Terheggen from Elsevier is interviewed about the tricky issue of the difference between “Predatory” vs trustworthy journals.
- George Monbiot argues that Scientific publishing is a rip-off.
- Aaron Tay has a nice article about the new Google Dataset search and here’s Figshare’s take on What Google Dataset Search means for academia. On the other hand Heather Piwowar argues that it’s Time To Insist On #Openinfrastructure For #Openscience
- The Economist asks if the tech giants should be liable for the content on their platforms?
- Jim Bilton unveiled the key findings from this year’s Media Futures research
- Lynn Kamerlin and her coauthors worry that Plan S will deprive them of quality journal venues and of international collaborative opportunities, while disadvantaging scientists whose research budgets preclude paying and playing in this OA league.
- Samira Rhoods with more about BMJ’s Scenario Planning initiative