Computational Health Science Collaborative: Interdisciplinary Mentoring for Public Health and Computer Science Students

Authors

Michael D. Barnes, Brigham Young University

Keywords

computational health science, public health, computer science

College

Life Sciences

Department

Health Science

Abstract

Computational health science, as we define it, represents the application of innovative computer science tools, including social media and data mining, to addressing health-­‐ related questions and problems. With multidisciplinary student mentoring as our aim, we have established the BYU Computational Health Science Research Collaborative (CHeSRC), which integrates the analytical strengths and skills of health scientists and computer scientists, supported by complementary expertise from other researchers, practitioners, and disciplines as applicable (http://dml.cs.byu.edu/chs/). As stated on the CHeSRC website, our mission is to better understand how technology can affect human interactions and enhance supporting environments by conducting innovative research that will inform future practice directed at changing health behavior through improved communication, networking and social capital.

Recommended Citation

Barnes, Michael D. (2014) "Computational Health Science Collaborative: Interdisciplinary Mentoring for Public Health and Computer Science Students," Journal of Undergraduate Research: Vol. 2014: Iss. 1, Article 1371.
Available at: https://scholarsarchive.byu.edu/jur/vol2014/iss1/1371