Planning for Collaborative Courses in Data Science
This grant funds collaborative development of interdisciplinary data science course materials for undergraduates, emphasizing real-world data, ethics, and modern analysis techniques at liberal arts colleges.
This grant is no longer accepting proposals
Associated Colleges of the Midwest (ACM) has archived this opportunity.
Funder: Associated Colleges of the Midwest (ACM)
Due Dates: Closed (2015–2016 cycle)
Funding Amounts: $9,300 per award; one-year project cycle typical
Summary: Supports collaborative development of interdisciplinary, adaptable undergraduate data science course materials aligned with ASA 2014 Guidelines.
Key Information: Only ACM member institution faculty/teams eligible.
Description
This opportunity supports the development of collaborative, interdisciplinary course materials in data science, specifically targeting undergraduate statistics education at liberal arts colleges. The goal is to bridge the gap between current statistics curricula and the demands of a data-driven society by creating case studies and activities rooted in real-world data and research questions from multiple disciplines. These materials emphasize modern data analysis techniques, ethical considerations, and advanced data visualization, and are designed to be accessible online and easily integrated into existing courses. The project promotes hands-on experience with complex, messy datasets and fosters the communication of statistical concepts to diverse audiences, supporting the adoption of new pedagogical models across ACM institutions.
