It is critical to equip students with professional skills. In particular, they need to develop effective verbal and written communication skills and it is our responsibility to help them in the process. As statistics educators, we strive to include meaningful relevant course activities that provide our students with opportunities to develop reasoning skills and a deep understanding of concepts, we tend to face challenges teaching students how to appropriately verbalize and write about statistics. This workshop targets statistics educators who plan to support their students’ learning about how to communicate the results of a scientific investigation of data, such as how to describe data succinctly, create effective visualizations, and accurately summarize statistical findings. In this workshop, we facilitate activities drawn from best practices in statistics education, utilizing the work by Deborah Nolan and Sara Stoudt in Communicating with Data: The Art of Writing for Data Science (2021) as well as sharing our own practical ideas for supporting students’ development of their communications skills in statistics.

Omidali Aghababaei Jazi, PhD.
University of Toronto Mississauga (UTM), Department of Mathematical and Computational Sciences

Bio: Omidali Aghababaei Jazi is an assistant professor, teaching stream, in the Department of Mathematical and Computational Sciences at the University of Toronto Mississauga (UTM). He has taught a variety of courses including Probability and Statistics, Stochastic Processes, and Experimental Design, supervised undergraduate students for their research projects, and facilitated SSC sessions and the case study competition over the last years. His research interests are statistics education, analysis of biased survival data, and analysis of longitudinal data with informative follow-up.

Contribution: Omid will help organize and plan for workshop activities with the help of other organizers and will facilitate activities from Part V of the book Communicating with Data: The Art of Writing for Data Science, concerning Science Writing and You.

Katherine Daignault, PhD.
University of Toronto, Department of Statistical Sciences

Bio: Katherine Daignault is an assistant professor, teaching stream, in the Department of Statistical Sciences at the University of Toronto. She has taught a variety of statistics courses, ranging from survey courses for non-statistics students to core 3rd/4th year methodology courses for statistics students. Her current teaching focus is on incorporating active learning into her courses, researching effective ways to create hybrid courses, and creating authentic assessments that encourage students to practice written and oral communication.

Contribution: Katherine will help organize and plan workshop activities with the help of other organizers, and will facilitate activities related to Part II and III of the book Communicating with Data: The Art of Writing for Data Science, concerning writing for various audiences, communication through figures, and organizing the story of written work.

Chelsea Uggenti, PhD.
University of Waterloo, Department of Statistics and Actuarial Science

Bio: Chelsea Uggenti is an applied statistician with research interests in fire science, statistical education, active learning, and the development of graduate teaching assistants. She received her doctorate in statistics at the University of Western Ontario and is a Lecturer in the Department of Statistics and Actuarial Science at the University of Waterloo.

Contribution: Chelsea will help organize and plan for workshop activities with the help of other organizers, and will facilitate activities from Part IV of the book Communicating with Data: The Art of Writing for Data Science, concerning Editing and Revising. She will also cover oral communication in statistics within the field and the broader community.

Note:

Session 1: (9:00-10:20)

Coffee break: (10:20-10:40)

Session 2: (10:40-12:00)

Lunch break: (12:00-13:30)

Session 3: (13:30-14:50)

Coffee break: (14:50-15:10).

Session 4: (15:10-16:30).