Statistical Science


Dr Mine Dogucu

PositionLecturer (Teaching)
Phone (external) 
Phone (internal) 
Personal webpagehttps://www.minedogucu.com/

* @ucl.ac.uk

Biographical Details 
Photo of Mine Dogucu

Dr Dogucu joined UCL in July 2022 as a Lecturer (Teaching). Prior to joining UCL, she was an Assistant Professor of Teaching in the Department of Statistics at University of California Irvine. She received her PhD from the Ohio State University, MS from Bogazici University, and BA from Smith College. Her goal is to create modern educational resources for statistics and data science that are accessible physically and cognitively. She currently serves as PI on multiple training-focused grants, full details can be found on her personal webpage minedogucu.com.

Research Interests

Data Science Education, Bayesian Education, Accessibility and InclusionData Science Education, Bayesian Education, Accessibility and Inclusion

Selected publications

For an up-to-date list of publications and pre-prints, see my Google Scholar webpage

* indicates a co-author who was an undergraduate student mentored by Dogucu at the preparation stage of the publication.

**indicates a co-author who was a graduate student mentored by Dogucu at the preparation stage of the publication.


- Dogucu, M. & Hu, J. (In Press) The Current State of Undergraduate Bayesian Education and Recommendations for the Future. The American Statistician.https://doi.org/10.1080/00031305.2022.2089232

- Rosenberg, J., Kubsch, M, Wegenmakers, E.J. & Dogucu, M. (In Press) Making Sense of Uncertainty in the Science Classroom: A Bayesian Approach. Science & Education. https://doi.org/10.1007/s11191-022-00341-3

- Çetinkaya-Rundel, M., Dogucu, M. & Rummerfield, W.** (2022) The 5Ws and 1H of Final Projects in the Introductory Data Science Classroom. Statistics Education Research Journal, 21(2), 4-4. https://doi.org/10.52041/serj.v21i2.37

- Shindler, M., Pinpin N., Markovic M., Reiber F., Kim, J.H., Nunez Carlos, G.P.*, Dogucu, M., Hong, M., Luu, M., Anderson, B., Cote, A., Ferland M., Jain P., LaBonte, T., Mathur, L., Moreno R. & Sakuma, R. (2022) Student Misconceptions of Dymanic Programming: A Replication Study. Computer Science Education, 32(3), 288-312. https://doi.org/10.1080/08993408.2022.2079865

- Hu, J. & Dogucu, M. (2022) Content and Computing Outline of Two Undergraduate Bayesian Courses: Tools, Examples, and Recommendations. Stat. 11(1) https://doi.org/10.1002/sta4.452

- Johnson, A. A., Otts, M. & Dogucu, M. (2022), Bayes Rules! An Introduction to Applied Bayesian Modeling. CRC Press. 1st edition. https://doi.org/10.1201/9780429288340

- Rummerfield, W.**, Ricci, F. Z.** & Dogucu, M. (2021) Training Graduate Students to Teach Statistics and Data Science from a Distance. In R. Helenius (Ed) Proceedings of the International Association for Statistical Education Satellite Conference. Online. https://doi.org/10.52041/iase.iwvgy

- Dogucu, M. & Çetinkaya-Rundel, M. (2021) Web Scraping in the Statistics and Data Science Curriculum: Challenges and Opportunities. Journal of Statistics Education. 29(sup1), S112-S122. https://doi.org/10.1080/10691898.2020.1787116