Innovating Library Science Curricula
Training Collaborative Analysis Liaison Librarians
We collaborated with the University of Tennessee, Knoxville, on Collaborative Analysis Liaison Librarians (CALL), a project designed to create a new curriculum for liaison librarian instruction. We believe collaboration with institutions like UT is essential as we work to train the next generation of liaison librarians.
About Our Research
We leverage cross-institutional collaboration to address some of today’s most pressing challenges, producing interdisciplinary solutions that influence policymakers to effectively serve the public good. From Stanford to UChicago to NYU, we’ve refined our collaborative process through years of mutually beneficial relationships with institutions nationwide to understand and address challenges like climate change, HIV and youth homelessness.
DU’s current research efforts have been featured in news outlets like The New York Times. They include…
- exploring the effects of felony disenfranchisement.
- employing lasers as the medium for quantum science.
- using theatre to heal and rehabilitate inmates.
About the Project
The goal of this project was to create a new three-year master's instructional program to educate a cohort of 14 to become leaders in library liaison roles. That initial cohort will be used as a model to further refine experiential learning and curriculum for the future.
Working from an interdisciplinary, interagency perspective, our team recruited, educated and mentored this cohort as they built science liaison skills through collaboration with researchers. These experiences will be used to develop curriculum and skills that can be shared widely.
Each member of the cohort will graduate with an ALA-accredited master's degree with a specialization in liaison librarianship.
Dr. Peter Organisciak is an assistant professor of research methods and data science at the University of Denver's Morgridge College of Education. His research focuses on information retrieval, massive-scale text analysis and data issues in crowdsourcing. He also leads the Massive Text Lab, which applies computational methods to the study of large text collections.