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AI and Machine Learning

The OCUL AI and Machine Learning Initiative grows collective technology expertise through hands-on, collaborative experience.

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OCUL provides Ontario university libraries with shared services and technology infrastructure to support academic teaching, research and learning.

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Omni – the academic search tool

Through Omni, students, faculty and researchers can access over 25 million print resources and pick up requested items from any of the 19 partner universities in Ontario.

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Latest News

Supporting web development and digital research infrastructure are critical dimensions of work across academic libraries – and AI tools for coding are becoming vital to this work. But with so many different options and platforms to explore, it can be overwhelming to know where to start. 

The Ontario Council of University Libraries (OCUL) is seeking nominations for two member roles on the Collection Assessment and Evaluation Subcommittee. 

Reporting to the OCUL Information Resources Committee, the subcommittee provides operational support and guidance in the evaluation of e-resource renewals and potential vendor deals. 

Subcommittee membership terms are typically staggered, with one- or two-year appointments to help ensure continuity.

The Ontario Council of University Libraries (OCUL) has released its 2024-2025 annual report. The report celebrates select milestones from the past year, highlighting a transformative period marked by strategic planning, technological experimentation, and deepened collaboration across Ontario’s academic library landscape.

In 2024-2025, OCUL:

Centered around a series of pilot projects, the Ontario Council of University Libraries (OCUL) continues its exploration of AI and machine learning’s responsible, ethical use in the academic library environment while building related knowledge and skills across the OCUL membership and beyond.