Key Takeaways from the 2025 SSP Compensation and Benefits Study
A look at the data from the second year of the SSP Compensation and Benefits Benchmarking Study.
A look at the data from the second year of the SSP Compensation and Benefits Benchmarking Study.
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?
The Scholarly Kitchen’s 2025 Readership Survey reflects feedback from our community that will shape the future direction of our blog.
Today’s guest bloggers advocate for marketing strategy using localization, which brings cultural fluency, awareness, and authenticity to our communication with partners around the world.
Today’s guest bloggers share results of an exploratory survey of funding research services, offering a snapshot of a library community in transition.
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.
Building on SSP’s spring results of the individual compensation and benefits study, Melanie Dolechek shares insights from the organizational survey — a slide of the survey data that provides useful benchmarks on policies and practices across publishing organizations.
In today’s post, Teodoro (Teo) Pulvirenti and Marianne Calilhanna join Randy Townsend to unpack the disturbing topic of suicide among the LGBTQ+ community.
AI has opened a new chapter in the saga of science and peer review. Today, guest author Prof. Nihar B. Shah explains how, if guided with integrity, AI can open galaxies of possibilities.
The future of peer review isn’t about choosing between humans and AI, or between speed and quality, but about combining the strengths of both to enable speed with quality, to ensure quality, ethics, and trust in the scholarly record.
NISO’s Open Discovery Initiative (ODI) survey reflects the positive and negative expectations of generative AI in web-scale discovery tools.
The MIT Press surveyed book authors on attitudes towards LLM training practices. In Part 1 of this 2 part post, we discuss the results: authors are not opposed to generative AI per se, but they are strongly opposed to unregulated, extractive practices and worry about the long-term impacts of unbridled generative AI development on the scholarly and scientific enterprise.
A recent survey of 66 learned societies (primarily in the UK) revealed a revenue crisis which threatens the very existence of community-driven publishing, and by extension learned societies themselves.
An AAAS survey reveals authors’ concerns and confusion regarding open licensing of their work.
NISO issues a report on workshops looking to improve the efficiency of working with AI systems in scholarly publishing