Carrie Diaz Eaton
Associate Professor of Digital and Computational Studies
Digital and Computational Studies
Pettengill Hall, Room G19
I use modeling, computation, and a complex adaptive systems approach to explore theoretical questions in biology. While I started this work in computational neuroscience and then moved to evolutionary theory and plant-pollinator networks, I have more recently advised student internships and research projects in disease modeling, online community building/communications, and undergraduate STEM education. I often have funded student positions available in STEM education and social media communications.
I currently hold multiple grants related to research in mathematical and computational biology education, specifically undergraduate interdisciplinary curriculum development and faculty support for interdisciplinary teaching practice. In 2014, I co-founded QUBES and through which I engage in a number of projects and networks at the national level, often with professional societies, to promote and support an open and inclusive quantitative biology education. An important part of this work includes supporting a diverse set of faculty and students in higher education.
- Topaz CM, Cart J, Diaz Eaton C, Shrout AH, Higdon JA, İnce K, Katz B, Lewis D, Libertini J, and Smith CM. 2020. Comparing demographics of signatories to public letters on diversity in the mathematical sciences. PLoS ONE. April 28, 2020. DOI: https://doi.org/10.1371/journal.pone.0230811
- Diaz Eaton, C, Dahlquist, K, Highlander, H, LaMar, MD, Ledder, G., and Schugart, R. 2019. A “Rule of Five” Framework for Models and Modeling to Unify Mathematicians and Biologists and Improve Student Learning. Special Issue on Interdisciplinary Conversations for Problems, Resources, and Issues in Mathematical Undergraduate Studies [PRIMUS]. DOI: 10.1080/10511970.2018.1489318
- Diaz Eaton, C and Bailey, LM. 2018. Finding Luz: Illuminating our identities through duoethnography. Special Issue on Mathematics and Motherhood, Journal of Humanistic Mathematics. 8(2):60-89. DOI: 10.5642/jhummath.201802.08.
- Diaz Eaton, C and Highlander, H. 2017. The Case for BioCalculus: Design, Retention, and Student Performance. CBE-Life Science Education. 16(2):ar25. Link
- Diaz Eaton, C, Anderson, LJ, Allen, D, Bowser, G, Pauley, MA, Williams, KS, and Uno, GE. 2016. Summit of the Research Coordination Networks for Undergraduate Biology Education. CBE-Life Science Education. 15(4):mr1. Link
- Donovan, S, Diaz Eaton, C, Gower, ST, Jenkins, K., LaMar, MD., Poli, DB., Sheehy, R., and Wojdak, JM. 2015. QUBES: A community focused on supporting teaching and learning in quantitative biology. Letters in Biomathematics. 2(1):46-55. Link