Discover five key lessons for publishers navigating AI-driven discovery, licensing and monetization, and learn how to prepare for the future of scholarly publishing.
Why AI detection alone isn't enough for research integrity. Discover how publishers can build a multi-signal trust architecture that scales.
KGL submitted formal comments on OMB's proposed Federal Financial Assistance rule, urging policymakers to consider effects on research publishing.
AI can speed up reading, checking, and summarising—and automate parts of publishing. But peer review runs on trust. That needs people, policy, and accountability.
QScience has chosen KGL PubFactory to host its portfolio of scholarly journals, books, and conference proceedings — bringing HBKU Press's academic content to a powerful new digital platform.
AI isn't replacing scholarly publishing professionals; it's transforming the skills, roles, and workflows that define the industry.
Hong Zhou posits that the future of knowledge publishing will not be determined by AI alone. It will be shaped by the choices we make now.
In this conversation, Adrian Stanley speaks with Victoria Pittman and José Fossi about their recent AI summary pilot.
A weak EIC search leads to shallow candidate pools and missed opportunities. Use a deliberate 3x3 plan to attract and secure the right leader.
