Full-time officers of instruction, professors of practice, lecturers within discipline and/or adjunct professors of Columbia University. At least one member of the instructional team must be appointed full-time. All full-time members on the team must hold primary appointments at Columbia University.
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 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.
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. In addition to the subject areas suggested above, this year we are encouraging proposals that: create curricula aimed at undergraduates; integrates Genomics and data science; and tailors entrepreneurship and/or business literacy curricula for STEM students.