via The Scholarly Kitchen
tagged with via The Scholarly Kitchen
Ask the Chefs: How Are You Responding to the OMB Proposed Rule Changes for US Research Funding?
The OMB proposed rule change to the Uniform Guidance for federal grants could restrict how grant funds are spent on publication costs, threatening the financial model of many scholarly societies and publishers.
'Ask the Chefs: How Are You Responding to the OMB Proposed Rule Changes for US Research Funding?'
Scholarly Kitchen Chefs respond to proposed OMB rule changes to US federal research grant spending—changes
'Before the Guardrails: Why AI Governance in Research Must Start with Purpose'
Scholarly Kitchen argues AI governance in research must be purpose-led and collectively managed across publishing
'Making AI Use of Scholarly Content Traceable, Measurable, and Trustworthy: A Meeting Report from Cambridge Scholarly
Cambridge workshop brought together publishers, NISO, COUNTER, and researchers to develop standards for provenance,
'A Platform Comes Apart: Part 1'
Scholarly Kitchen explores what happens to the scholarly content platform when AI agents—not human readers—become
Attribution, Provenance, Reference, Citation, and AI for Research Applications – Understanding the Differences
Todd Carpenter (NISO executive director) makes a conceptual argument for distinguishing between attribution, provenance, reference, and citation in AI research tools — arguing these are distinct concepts with different implications for trust and credit.
'Guest Post — Love, Death & Robots: Scholarly Edition'
Proposes a method for identifying, measuring, and managing AI bot
'Zero-Click Readership: Are AI Overviews Changing the Way We Discover Research'
Examines how AI-generated summaries are mediating research discovery,
'Guest Post — When Thinking Is Outsourced: A Warning from a Scientist Trained
'A pre-AI-era scientist sounds the alarm: no computational efficiency
'The Opportunities and Perils of Discovery: STM Releases its Trends 2030'
The STM Trends 2030 report maps a world where AI agents and AI-native
When Thinking Is Outsourced: A Warning from a Scientist Trained Before AI
A first-person perspective from a senior scientist on the cognitive costs of AI dependency in research.
The Opportunities and Perils of Discovery: STM Releases its Trends 2030
STM's Trends 2030 report places AI-driven discovery at the center of scholarly publishing's near-term future.
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