How Can Scholarly Publishing Overcome Its ‘SDG Inertia’?
Is there an inertia slowing efforts by scholarly publishers toward achieving the UN’s Sustainable Development Goals (SDGs)?
Is there an inertia slowing efforts by scholarly publishers toward achieving the UN’s Sustainable Development Goals (SDGs)?
In this post, Robert attempts to embrace a gloomy optimism as he muses on the state of publishing at scholarly societies.
A new STM Association paper seeks to foster a discussion about how GenAI systems can reliably incorporate scholarly research.
In 2018 at SSP New Directions, Neil Blair Christensen and Angela Cochran participated in an Oxford debate on the use of AI in Peer Review. Today, they revisit their main points and reflect on where they think we are today and will likely be in another 8 years.
Today’s guest blogger asks: How much do we read today? How do reading habits vary across generations? What should libraries and publishers do to encourage reading?
Today’s guest bloggers call for society publishers to recognize their unique role in shaping the systems researchers use to discover and evaluate knowledge.
Today’s guest post offers a review of a panel of publishers and editors discussing the pros and cons of using Generative AI, along with ethical and policy implications.
As AI-driven search reduces friction in information-seeking, what happens to serendipity, frustration, and “night science”?
A review of eight technology industry trend reports that offer a similar conclusion: AI is no longer a feature. It’s becoming infrastructure — and the unit of value is moving from “a better tool” to “a better system.”
Today’s guest blogger calls for “rehumanizing” our view on AI innovations and their impacts on our mental health and our communities.
Today’s guest bloggers spotlight a gap in traditional usage reporting, third-party AI usage, and recommend steps needed to recover missing usage data.
In this interview with Alice Meadows, Sami Benchekroun (Morressier/Molecular Connections) and Rod Cookson (The Royal Society) share their thoughts about how and why scholarly publishing needs to move away from being article-based.
Current AI disclosure guidelines are failing and driving AI use underground rather than making it transparent. In this follow-up post, I turn to the more challenging question: what publishers should do about it.
Today’s post paves a clear path forward in making AI work for publishers in the brave new agentic world.
Today’s guest author raises the question of whether a researcher submitting an article that was significantly drafted by an LLM without clear disclosure is effectively engaging in a contemporary form of ghost authorship.