The Computational and Data Science Exchange (CDSExchange): A Model for Building Faculty Capacity in Computational and Data Science Education

Volume 17, Issue 2 (November 2026), pp. 2–5

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@article{jocse-17-2-1,
  author={Katharine Cahill and Karen Rios-Soto and Tandabany Dinadayalane and Rachel Vincent-Finley and Linda Akli and Ahlam Tannouri and Zhuoying Wang and Lisa Garbrecht},
  title={The Computational and Data Science Exchange (CDSExchange): A Model for Building Faculty Capacity in Computational and Data Science Education},
  journal={The Journal of Computational Science Education},
  year=2026,
  month=nov,
  volume=17,
  issue=2,
  pages={2--5},
  doi={https://doi.org/10.22369/issn.2153-4136/17/2/1}
}

Small and lesser-resourced institutions often face challenges launching or expanding undergraduate Computational and Data Science (CDS) course offerings. The CDS-Exchange addresses this challenge by building a faculty community of practice across institutions. Core components of the project include: webinar series, regional workshops, a fellows program, and annual symposia. These diverse activities result in broad outcomes, such as multi-institution participation, strong repeat engagement, and positive self-reported gains in understanding and teaching relevance.