Illustration: Keenious

By Joshua Kragh Amudzidis-Bruhn

Meet Keenious, the newest addition to our family of databases

Keenious is an AI-based discovery tool that allows for full-text prompts. Simply input an abstract from an article that you are already familiar with or some of your own work, a memo or an early draft of a manuscript, and you are ready to go.

This makes Keenious particularly useful for students who are just embarking on a paper about a topic of which they have no deep-seated prior knowledge, or perhaps no knowledge at all. Or for you, when you find yourself struggling to introduce a particular perspective in your quest for relevant content and the keywords just keep getting it wrong or escape you altogether.

Keenious provides an intuitive interface to kickstart any research process. Simply input your prompt and Keenious will find relevant content from among the 100 million articles indexed by OpenAlex, a huge, open catalogue of scholarly papers, authors, and organizations.

Exactly because it works very differently from traditional discovery systems and is based on coherent prose and not keywords, which sometimes can prove quite rigid and unyielding, Keenious provides an alternative route to uncover valuable information that might otherwise be missed in traditional searches.

Keenious is an AI-based tool, but it does not contravene any of the restrictions imposed by CBS on the use of GenAI, so you can throw all caution to the wind and push it to your students without fear of violating the guidelines.

However, because it is AI-based, which can sometimes make it difficult to know exactly what goes on behind the scenes, we do not recommend Keenious as a standalone strategy to uncover scholarly content, but as an add-on to more traditional approaches.

Find out more
For now, we do not provide separate courses on Keenious. Instead, it is part and parcel of our regular courses on scholarly content for students and faculty. If you want to find out more and get started with Keenious, check out these resources or talk to your liaison librarian.

Help us
If you decide to start working with the solution, we are very eager to get any feedback you may have, good or bad, as well as relevant use cases, so please reach out if you want to help us understand the opportunities as well as the barriers that Keenious represents.