Welcome to Things we read this week, a weekly post featuring articles from around the internet recommended by BMJ’s Digital Group members.
Publishing and Open Science
Slate discuss the impact of Facebook’s retreat from the news business.
There’s a great quote in this article:
“The internet is a completely different place every 18 months, and that’s been true since we launched in 1996,”
Which brings us onto Is the Research Article Immune to Innovation? From Sarah Andrus in Scholarly Kitchen and the glacial pace of change in the presentation of scholarly articles online.
The Loss-of-Confidence Project is encouraging psychologists to own up to shortcomings in their published work via a website in the form of official loss-of-confidence statements. Write up of the project by Dalmeet Singh Chawla here. (H/T: @TheoBloom)
Nature have created a new new metric to gauge collaboration across multiple institutions in high-quality scientific research output. “The multilateral collaboration score (MCS) provides an indicator for an increasingly common characteristic of research collaboration: the involvement of not just one or two, but three or more principal institutions.”
Tendayi Viki has a nice/short piece in Forbes about how Every Company Needs An Innovation Thesis (A broad statement about where we are as a business, where we think the world is going, what sorts of ideas we think will succeed in that world and how we are going to use innovation to respond).
The 7 deadly sins of innovation from @marketoon made us laugh.
A compilation of 156 slides that seeks to trigger informed conversation about the state of AI and its implication for the future.
DuckDuckGo write about how to run a profitable search engine without using AI to mine your personal search history.(H/T: @unique_rex ). The Economist asks “what if people really controlled their data—and the tech giants were required to pay for access? What would such a data economy look like?” David Gerard has some strong views on Blockchain, GDPR ad the use of personal data.
Finally, “AI, Ain’t I A Woman” A powerful spoken word piece that highlights the ways in which artificial intelligence can misinterpret the images of iconic black women.