As generative AI tools continue to evolve, we’re working with colleges and universities to navigate the impacts of AI on teaching, learning, and research. Our cohort projects create space for collaboration and peer-to-peer learning, empower institutions with the research-backed insights to inform decision-making, and help participants create actionable plans to suit their campus needs.
We’ve worked with academic libraries, teaching and learning centers, and college administrators across more than 60 institutions, and led cohorts focused on integrating AI literacy into the curricula, teaching and learning with AI, and making AI generative for higher education.
“For Clemson, participating in the data services cohort helped strengthen collaboration with key campus partners, particularly Central IT and the Division of Research. These relationships have already led to additional shared initiatives aligned with the university’s research priorities.”
— Elias Tzoc, associate dean of teaching, learning, and research, Clemson University Libraries
Explore open opportunities to work with us below. If you have questions about which cohort might be the best fit for you, or are interested in other opportunities that are currently not open, please contact us at Dylan.Ruediger@ithaka.org.
Defining AI Literacy Cohort: Advancing AI Literacy on Campus
How can colleges and universities foster AI literacy on campus? This cohort project will convene approximately 15 institutions to define AI literacy using established information literacy frameworks. Cohort members will conduct qualitative research to learn directly from students and faculty on their campuses, then convene to ideate tangible solutions to the challenges and opportunities surfaced in their research.
Participants will walk away from the six-month program with a deep understanding of the information needs of their unique campuses, as well as a roadmap for incorporating AI literacy into their practices, through the library or other university units.
AI in Action Cohort: A Collaborative Initiative to Advance Library Operations
How can AI support library operations, from metadata creation to collections management and workflow optimization? This cohort brings together 15-20 libraries to collaboratively explore the potential for using AI to streamline library operations and advance efficiency while upholding core library values.
Over the course of 12 months, participating institutions will launch an AI pilot to test solutions, clarify goals and expectations for sustainable AI adoption, and strengthen internal capacity to lead AI innovation with confidence.
“As a regional community-engaged institution, it was great to work with much larger and research-focused institutions, both nationally and internationally. With a student population made up of non-traditional students, working adults, and first-generation college students, UBalt brought a unique perspective on AI in practice. This cohort gave us the opportunity to forge ahead and create an evidence-based pathway to approach AI, and that process continues to drive our AI journey today.”
— Jessica Stansbury, director of teaching & learning excellence, University of Baltimore