Below is a list of talks (solo or panel) that I have given at various events.

1. Dogucu, M. Teaching and Learning Bayesian Statistics with {bayesrules}. Invited talk given at the Department of Statistics University of Auckland, Auckland, NZ, December 2024.
2. Dogucu, M. Bayesian Statistics for Undergraduate Students and Their Instructors. Contributed talk given at Joint Meeting of the NZMS, AustMS and AMS. Auckland, New Zealand. December 2024.
3. Dogucu, M. Preparing to be a Principal Investigator in Statistics and Data Science Education Research. Invited Talk at Preparing to Teach Workshop. Corvallis, Oregon. August 2024.
4. Dogucu, M. Training Instructors to Advance Bayesian Thinking in STEM. Invited talk given at International Society for Bayesian Analysis (ISBA) World Meeting. Venice. July 2024.
5. Dogucu, M., Demirci, S., Bendekgey, H., Ricci, F. Z. & Medina, C. M. Building Data Science Education Research Plan for Teacher-Scholars. Breakout session at Electronic Conference on Teaching Statistics (eCOTS). Online. June 2024. Selected as "hot topic of the day".
6. Dogucu, M. Updating Beliefs on Bayesian Education: Reflections on Research and Teaching Projects. Invited talk given at Aalto University and Finnish Center for Artifical Intelligence. Helsinki, Finland. June 2024.
7. Dogucu, M. Teaching Accessibly and Teaching Accessibility in Data-Intensive Courses. Invited talk given at AAAS-IUSE workshop. Online. April 2024.
8. Dogucu, M. Notes for data science students. Invited talk given at The Pacific Alliance for Low-income Inclusion in Statistics and Data Science. Online. April 2024.
9. Dogucu, M. What is going on in undergraduate Bayesian education across the pond?. Invited talk at Royal Statical Society Teaching Statistics SIG event at TALMO: Teaching Bayesian Methods. Online. March 2024
10. Dogucu, M. An Overview of Undergraduate Bayesian Education. Invited Talk at Statistical Sciences Applied Research and Education Seminar (ARES) organized by the the Department of Statistical Sciences at University of Toronto and Ontario Regional Centre of the Canadian Statistical Sciences Institute. Online. December 2023.
11. Dogucu, M. Accessibility is a Must in the Data Science Curriculum. Invited Talk at Vassar College. Poughkeepsie, NY. September 2023.
12. Dogucu, M. Automating grading workflow with the gradetools package in R. Invited Poster Presentation at Joint Statistical Meetings. Toronto, Canada. August 2023.
13. Dogucu, M. Tips for New Principal Investigators in Statistics and Data Science Education Research. Invited Talk at Preparing to Teach Workshop. Toronto, Canada. August 2023.
14. Dogucu, M. Framework for Accessible and Inclusive Teaching Materials for Statistics and Data Science Courses. Webinar for Journal of Statistics and Data Science Education. Online, March, 2023.
15. Dogucu, M., Downey, A., & Kumar, R. Panel on Bayesian Statistics Textbooks. Webinar for International Society for Bayesian Analysis (ISBA) Bayesian Education Research and Practice Section (BERaP). Online, March, 2023.
16. Dogucu, M. Reproducible Teaching in Statistics and Data Science Curricula. Invited talk at Toronto Reproducibility Workshop, February 2023, Online
17. Dogucu, M. Teaching Bayesian modeling with Bayes Rules!. Invited talk at Bayes@Lund, January 2023, Online
18. Dogucu, M. Teaching Bayesian modeling with Bayes Rules!. Invited talk at International Society for Bayesian Analysis World Meeting, July 2022, Montreal, Canada
19. Dogucu, M. Teaching Accessibly and Teaching Accessibility. Keynote talk at useR! Conference, June 2022
20. Seo, J. Dogucu, M. Teaching Visual Accessibility in the Introductory Data Science Classes: Why, What, When, and How. Invited talk at Symposium on Data Science & Statistics, June 2022
21. Dogucu, M. A First Bayesian Course: Why, What, and How. Invited talk at Royal Statical Society Teaching Statistics SIG event at TALMO: The past, present and future of statistics teaching, May 2022
22. Dogucu, M. R (ile) Öğretme: Örnekler ve Kaynaklar [Teaching (with) R: Examples and Resources]. Invited talk as part of R education panel, Why R Turkey Conference, April 2022
23. Dogucu, M. Studying Data Science in College. STEM panel talk given at Northwood High School, Irvine, CA April 2022.
24. Dogucu, M. Teaching Bayesian Modeling at the Undergraduate Level. Invited talk given at Department of Statistics, University of California Berkeley, January 2022.
25. Dogucu, M. First Steps of a Data Science Career. Invited talk given at Center for Computational and Applied Mathematics, California State University Fullerton, October 2021.
26. Dogucu, M. Teaching and Learning Bayesian Statistics with {bayesrules}. Invited talk given at Southern California R Users Group and R Ladies Irvine meetup, Online, October 2021.
27. Dogucu, M. & Shahbaba B. Data Science in Health Sciences for High School Students. Talk given at Joint Statistical Meetings, Online, August 2021.
28. Dogucu, M., Johnson, A. and Ott, M. Teaching and Learning Bayesian Statistics with {bayesrules}. Talk given at useR! conference, Online, July 2021.
29. Hu, M. & Dogucu, M. Examples from Two Undergraduate Bayesian Courses: Tools, Resources, and Suggestions for Teaching. Refereed talk given at Symposium on Data Science and Statistics (SDSS), Online, June 2021.
30. Dogucu, M. Bayesian Statistics for Undergraduate Learners. Invited seminar talk given at University of California Riverside, Department of Statistics, Online, April 2021.
31. Dogucu, M. & Kim, A. Data ingestation, data collection, and data analysis: key components in the statistics and data science analysis cycle. Webinar for Journal of Statistics and Data Science Education. Online, March, 2021.
32. Nolan, D. et. al. (including Dogucu, M.) Data Science Education at the Undergraduate Level at University of California. Panel presentation at California Alliance for Data Science Education. Online, Feb, 2021.
33. Dogucu, M., Grolemund, G., Nugent, R., St. Clair, K. Teaching Focused Careers in Colleges, Universities, and Industry . Invited Panel at Joint Statistical Meetings. Online, August 2020.
34. Dogucu, M. AI Assisted Fair and Efficient Grading in the Statistics and Data Science Classrooms. Talk given at Electronic Conference on Teaching Statistics. Online. May 2020.  
35. Kocak, M. et. al (including Dogucu, M.) Kadın Yazılımcılar Toplanıyor: Yazılıma Adım Atmak (Women Developers Gathering: Beginning Software Development) Panel organized by (Kadın Yazılım Tasarım) Women Development Design live on YouTube. April 2020.
36. Dogucu, M. Five Art Pieces that Every R User Should Know Invited lightning talk given at rstudio::conf, R Ladies BoF. San Francisco. January 2020.
37. Dogucu, M. Web Scraping in the Statistics Curricula: Challenges and Opportunities. Invited talk given at Duke University, Department of Statistical Sciences. Durham, NC. November 2018.
38. Dogucu, M. & Çetinkaya-Rundel, M. Teaching Web Scraping: Integrating Data Science into Statistics. Talk given at Electronic Conference on Teaching Statistics. Online. May 2018.  
39. Dogucu, M. & Ha, S. Handling Missing Data in R. Invited talk given at St. Thomas University. Miami Gardens, FL. March, 2018.
40. Dogucu, M. & Ha, S. Handling Missing Data in R. Talk given at R Ladies Miami. Miami, FL. March, 2018.
41. Dogucu, M. & Ha, S. Handling Missing Data in R. Talk given at R Ladies New York City. New York, NY. March, 2018.
42. D’Agostino McGowan, L., Dogucu, M. & Neal, J. Who is Killing California State Bills on Human Trafficking: A Preliminary Analysis. Hackathon presentation at Women in Statistics and Data Science Conference. San Diego, CA. October, 2017.
43. Benn, K.T. E., Dogucu, M. & Garcia M. M. Is There Room for Intersectional Feminism in Statistics and Data Science? Panel at Women in Statistics and Data Science Conference. San Diego, CA. October, 2017.
44. Bryan, J., Cetinkaya-Rundel, M., D’Agostino McGowan, L., de Quieroz, G., Dogucu, M., Scranton, K. & Thompson, K. R-Ladies panel: Improving Gender Diversity in a Male-Dominated Community. Panel at Women in Statistics and Data Science Conference. San Diego, CA. October, 2017.
45. Dogucu, M. When Missing Data Are Not a Nightmare: Planned Missing Designs. Invited talk given at Denison University. Granville, OH. December, 2016.
46. Dogucu, M. When Missing Data Are Not a Nightmare: Planned Missing Designs. Invited talk given at New College of Florida. Sarasota, FL. December, 2016.
47. Spear, C.F., Dogucu, M., Piasta, S.B. Reading Instruction for Children with and without Disabilities Across ECE and ECSE Settings. Poster presented at the Schoenbaum Family Center Symposium on Children. Columbus, OH. October, 2016.
48. Dogucu, M., Jiang, H. & Soto-Ramirez, P. Confirmatory Factor Analysis with Planned Missing Data: A Monte Carlo Simulation Study. Paper presented at Modern Modeling Methods Conference. Storrs, CT. May, 2016.
49. Dogucu, M. Introduction to Multilevel Modeling. Invited lecture given at Denison University. Granville, OH. April, 2016.
50. Perez A. & Dogucu, M. Using NAEP Data on Functions to Examine First-Generation College-Bound Mathematics Course Taking. Paper presented at the annual meeting of the American Educational Research Association. Washington, DC. April, 2016.
51. Jiang, H., Mauck, S., Dogucu, M., & O’Connell, A. Dealing with Missing Data in Multilevel Contexts: A Simulation Study. Poster presented at the annual meeting of the American Educational Research Association. Chicago, IL. April, 2015.
52. Farley, K.S., Piasta, S.B., O’Connell, A., & Dogucu, M. Small Group Literacy Instruction in Early Childhood Classrooms. Poster presented at the Society for the Scientific Study of Reading Annual Conference. Santa Fe, NM. July, 2014.
53. Dogucu, M. Introduction to Factor Analysis . Invited lecture given at Bahcesehir University. Istanbul, Turkey. May 2014.