Director, Center for Data and Visualization Services
Data Science Librarian, Scholarship Tools and Methods
University of California, San Diego
Director, Social Science Data Archive
University of California, Los Angeles
University of Rhode Island
As academic libraries build support for data analytics, data visualization, machine learning, and data management, these services receive enthusiastic support in the form of high levels of student and researcher engagement. Yet the academic curriculum for data science remains highly fragmented as well as constantly evolving, making this a challenging space to meet student and researcher demands. How can libraries build constructive partnerships and contribute to the growing desire of many research institutions to integrate data science as a fundamental element in the academic curriculum? This panel brings together four librarians actively partnering with initiatives designed to plan, create, and deliver data science curricula, research support, and training. This panel will consider the keys to successful partnerships and initiatives in a space that challenges traditional pedagogical strategies and blurs curricular boundaries.