Today’s guest post asserts that AI infrastructure will let publishers truly leverage machines, while brand and community are what will keep them meaningful to humans.
The Chefs offer their reflections on last week’s SSP Annual Meeting.
Today’s post shares the results of an initiative designed to answer the question: what would it actually take to build a publishing model fit for the research ecosystem we have now, rather than the one we inherited?
To honor the UK’s Mental Health Week, we take a look back at the Mental Health Monday posts in The Scholarly Kitchen with calls to action, practical tips, and tools for “taking ACTION.”
Today’s guest post sounds an alarm about the use of AI in research and warns that no amount of computational efficiency can compensate for the loss of our capacity for human thought.
Today’s guest post advocates for investing in the development of early-career professionals to foster a healthy pipeline of emerging talent in scholarly publishing.
The new STM Trends 2030 was released, symbolizing a world full of opportunities but also with dangers lying just below the surface for scholarly publishing.
AI in science should not be viewed merely as a productivity tool layered onto existing workflows. It represents a structural shift in how knowledge moves through society, and therefore in how scientific authority is established and maintained.
Faced with technological shifts not seen since the advent of the internet, Todd Toler and Angela Cochran posit that the biggest challenges for organizations building an AI strategy are human, not technology.
Part 2 of a look at the American Society of Civil Engineers’ inaugural Pathways to Inclusive Publishing Summit, which brought together industry leaders, content creators, and allies to explore strategies for fostering inclusivity and accessibility within the publishing ecosystem.
Let’s say the quiet part out loud: gossip plays an important role in scholarly publishing. But is that a bad thing?
Today’s post asserts that peer review, which is still of vital importance to science, is clearly failing in the current age — could AI save the day?
Today’s post explores issues facing scholarly publishers around AI — using it, layering it, competing against it, and licensing to it.
Today’s guest blogger identifies signals of how fractured the scholarly research ecosystem has become, and how the value publishers provide is increasingly questioned, dismissed, or overlooked by key stakeholders.
Today’s guest post demonstrates how publishers can reduce their carbon footprint and be leaders in environmental sustainability.