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AI and Machine Learning

The OCUL AI and Machine Learning Program 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

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.

The Ontario Council of University Libraries (OCUL) welcomes applications for the 2026 Visiting Researcher Program. This is an opportunity for library professionals from the OCUL membership to dedicate part of their research leave to a project that aligns with the consortium’s strategic priorities and/or academic library services or librarianship.