Miriam Jacobson, PhD

Senior Evaluation Researcher
TACC Evaluation Services

Email: mjacobson@tacc.utexas.edu

Miriam Jacobson leads evaluation and research projects in TACC Evaluation Services, which she joined in 2020. In her current role, she evaluates WeTeach_CS computer science education initiatives and the education and workforce programs at AI Research Institutes. She previously worked at ICF as a Lead Research Scientist and studied workforce development initiatives at the federal and local level. Her research focuses on computer science teacher professional development, data visualization, and mixed methods evaluation.

Selected Publications

Jacobson, M. R., Wang, Z., Yiwen Yang, Y., & Kaur, K. (2025). Facilitators and barriers for integrating technology education into K-5 classrooms. In Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2 (SIGCSE TS 2025), February 26-March 1, 2025, Pittsburgh, PA, USA. ACM, New York, NY, USA, 1491 - 1492. https://doi.org/10.1145/3641555.3705185

Jacobson, M. R., Baker, S. N., Yang, Y., Childs, J., Wang, Z., & Garbrecht, L.S. (2025). Data sharing and evaluation: Evaluation’s role in improving the quality of open science data sharing platforms. New Directions for Evaluation. https://doi.org/10.1002/ev.20621

Warner, J. R., Stephanie N. Baker, S. N., Madeline Haynes, Miriam Jacobson, Natashia Bibriescas, and Yiwen Yang. (2022). Gender, race, and economic status along the computing education pipeline: Examining disparities in course enrollment and wage earnings. In Proceedings of the 2022 ACM Conference on International Computing Education Research V.1 (ICER 2022 V1), August 7–11, 2022, Lugano and Virtual Event, Switzerland. ACM, New York, NY, USA, 61-72. https://doi.org/10.1145/3501385.3543968

Jacobson, M. R., Whyte, C. E., & Azzam, T. (2018). Using crowdsourcing to code open-ended responses: A mixed methods approach. American Journal of Evaluation, 39(3), 413–429.

Jacobson, M. R., & Azzam, T. (2016). Methodological credibility: An empirical investigation of the public's perception of evaluation findings and methods. Evaluation Review, 40(1), 29–60.

Current Projects

  • Texas Computer Science Pipeline
  • National Science Foundation (NSF) Leadership-Class Computing Facility (LCCF) Computing Pathways Research
  • NSF-Simons Institute for Cosmic Origins (CosmicAI)
  • NSF The Institute for Learning-Enabled Optimization at Scale (TILOS)
  • NSF Institute for Foundations of Machine Learning (IFML)

Areas of Research

  • Computer science education
  • User experience
  • Evaluation methods

Memberships

  •  American Evaluation Association
  • Association for Computing Machinery (ACM) Special Interest Group Computer Science Education (SIGCSE)