Applications must be submitted by a pair of instructors. Must be a full-time officer of instruction, professor of practice, lecturer within discipline and/or adjunct professor of Columbia University. At least one member of the instructional team must be appointed full-time.
Each funded project will receive an award of up to $150,000.
The Collaboratory Fellows Fund will award grants to pairs of instructors, one with disciplinary/area expertise and one with data-science/computational expertise, to collaborate on the development and teaching of new material that embeds data or computational science into a more traditional domain or the reverse, embeds business, policy, cultural and ethical topics into the context of a data or computer science curriculum. The new content should use 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.” Student cohorts can be undergraduate students, PhD students or graduate students undergoing professional training. The goal is to create diverse course offerings that are accessible to student at all levels, including those who have no previous data science exposure.