SEO Still Matters: Building Blocks for the Future of Content Discoverability
As the search and user behavior landscapes undergo dramatic evolutions, marketers and others are left to wonder what SEO means for publishers now.
Guest Post — What Do College Students Lose When Libraries Are Ignored?
Today’s guest post argues that academic libraries are an investment in the very foundation of quality scholarship and responsible publishing.
Guest Post — From Cloud to Carbon: Exploring the Digital Carbon Footprint of Knowledge
Today’s guest post summarizes the discussion in the recent EASE / STM / webinar, exploring the digital carbon footprint of scholarly publishing.
Science as Story, Memory as Infrastructure: A Conversation with Trevor Owens, Part 2
In today’s guest post, Wendy Queen (JHUP) continues her conversation with Trevor Owens (AIP) about how the tools and sensibilities of the humanities are helping to preserve the record of the physical sciences.
Guest Post — Five Years of GetFTR: A discussion with Librarians on Access, Integrity, and Collaboration
After five years of GetFTR, four librarians discuss how it is working in practice, its value to libraries and researchers, and what opportunities lie ahead.
Reimagining Scholarly Publishing Workflow: A High-Level Map of What Changes Next
Rather than just bolting on AI to existing publication workflows,there is a real opportunity to rethink and redesign them for human–AI collaboration. Some thoughts on what that looks like in practice.
Guest Post — Science as Story, Memory as Infrastructure: A Conversation with Trevor Owens, Part 1
In today’s guest post, Wendy Queen (JHUP) speaks with Trevor Owens (AIP) about how the tools and sensibilities of the humanities are helping to preserve the record of the physical sciences.
Ask the Chefs: What’s Your Favorite AI Hack?
We talk a lot about AI in scholarly communications and publishing, but today, we ask the Chefs: What’s your favorite AI hack?
Guest Post — AI as Reader, Author, and Reviewer: What Stays Human?
Today’s guest blogger shares highlights from a recent panel at the New Directions Seminar that concluded AI is simultaneously the largest challenge and the largest opportunity.
Guest Post — The Great Pullback: Why Academic Social Media’s Fragmentation Matters
Today’s guest bloggers share insights into the fragmented, tiring, and uncertain digital landscape for academics, and evidence that a shift is underway — with implications for scholarly communication that may be far-reaching.
The Next Disruption is Listening — In Every Language
Each new change in scholarly communication promises to make research fairer, faster, more transparent. Yet, in many cases, researchers, especially from under resourced countries or from countries where English is not the first language, face added pressure to catch up, rather than to move forward.
Guest Post — From Language Barrier to AI Bias: The Non-Native Speaker’s Dilemma in Scientific Publishing
For decades, EAL researchers have faced systemic disadvantages in publishing. AI writing tools promise relief, yet, they also bring new risks into science.
Five Tips for Hosting a Sustainable Event
Event planners are faced with the delicate balance between constructing spaces for deeper connection with the impact we’re having on our planet. Here’s what I’ve learned about planning events that prioritize sustainability.
Three Years After the Launch of ChatGPT, Do We Know Where This Is Heading?
Nearly three years after ChatGPT’s debut, generative AI continues to reshape scholarly publishing. The sector has moved from experimentation toward integration, with advances in ethical writing tools, AI-driven discovery, summarization, and automated peer review. While workflows are becoming more efficient, the long-term impact on research creation and evaluation remains uncertain.
Guest Post — The Economics of AI in Academic Research
In the fast-moving world of AI research tools, there are many community-focused concerns that vendors should have strong opinions on and plans for, from privacy and security to sustainability and copyright. But the most misunderstood issue, in my view, is the one at the heart of it all — how AI will reshape the economics of academic research.