Preparing Tomorrow’s Leaders for a Data-Rich World
The increasing availability of data in society is impacting our world in profound ways. As our ability to generate, store and analyze data grows by the day, so do the opportunities for using those data to improve our economy, our security, the environment and human health. Scores of professional and research areas are increasingly becoming data driven enterprises, and with this transformation comes a growing need for education that provides universal data literacy. In order to be effective, the leaders of tomorrow, whether they pursue careers in academia, government, business, industry or other avenues, will need to understand how data and data-science are influencing their fields and organizations, now and into the future. Nevertheless, the knowledge needed to enable tomorrow’s graduates to meaningfully engage in today’s data-rich world will vary by academic background and discipline. Students in Columbia’s Professional Schools will have different needs than undergraduates following the core-curriculum, for example, and needs will also vary between the Professional Schools themselves.
Jointly founded by Columbia University’s Data Science Institute and Columbia Entrepreneurship, TheCollaboratory@Columbia is a university-wide program dedicated to supporting collaborative curricula innovations designed to ensure that all Columbia University students receive the education and training that they need to succeed in today’s data rich world. Information about the Collaboratory@Columbia can be found at: http://collaboratory.columbia.edu.
Call for Proposals for the Collaboratory Fellows Program:
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 theFellows 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.
Applications must be submitted by a pair of instructors (or more if justification is provided), each of whom must have the authority to assume scholarly, administrative, and financial responsibility for their individual award. Those eligible to apply are: 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. Information about prior successful selectees for the Fellows Fund can be found [here].
All awards will be made on a competitive basis to a pair of instructors. Each pair of instructors will receive an award of up to $150,000 to support the co-development and teaching of the new material. Example uses of award funding might be to buy-out of teaching in order to free up time for the co-development activities, summer salary support, support for student assistants and/or on-line curricula components, the cost of materials, supplies and other items, etc. Applicants must provide a budget and budget justification as part of their application to the program. Proposals from more than two-instructors are welcome if a justification is provided, although the maximum funding per offering will remain at $150,000.
To post to others that you are seeking a collaborator, please use the following [LINK]. To review the roster of individuals seeking collaborators, you will use the same link. Note that there may be a lag time between the time you post and the time that your information is shared with the community.
Application and additional instructions can be downloaded here. Submit the materials requested in the application instructions via email as a pdf to email@example.com by the deadline. Proposals will be judged by a multi-disciplinary panel drawn from across the university.
March 24th, 2017, 4:00 PM (Neither incomplete nor late applications will be accepted)
Anticipated Award notifications:
May 12th, 2017