The goal of the Collaboratory Fellows Fund is to support innovative curriculum development that meets the data and computational literacy needs of a given discipline, set of disciplines and/or cohort of students at Columbia University. The program will award grants for pairs of instructors, one with disciplinary/ area expertise and one with data-science and/or computational expertise, to collaborate on the development and teaching of material that provides appropriate data skills (or knowledge) to a targeted set of students using pedagogy, instruction and delivery methods that are fitting for the specific student cohort. Example curricula offerings might include classes, workshops, studios, out-of-semester offerings and “boot-camps.”
Instructors may be full-time officers of instruction, professors of practice, lecturers within discipline and/or adjunct professors. Student cohorts can be undergraduate students, PhD students or graduate students undergoing professional training. Proposals are welcome from all Schools at Columbia University. Because the goal of the Fellows Fund is to support data literacy as an important element of a Columbia University education, it is intended that all developed material be integrated into Columbia’s instructional offerings.