#05: Investigating Diversity, Equity, and Inclusion in Statistics and Data Science Courses — Presentation Detail — Celebration of Scholars

Instructions

Student presentations must have a faculty sponsor.

Abstracts must include a title and a description of the research, scholarship, or creative work. The description should be 150-225 words in length and constructed in a format or style appropriate for the presenter’s discipline.

The following points should be addressed within the selected format or style for the abstract:

A clear statement of the problem or question you pursued, or the scholarly goal or creative theme achieved in your work.
A brief comment about the significance or uniqueness of the work.
A clear description of the methods used to achieve the purpose or goals for the work.
A statement of the conclusions, results, outcomes, or recommendations, or if the work is still in progress, the results you expect to report at the event.

Presenter photographs should be head and shoulder shots comparable to passport photos.

Additional Information

More information is available at carthage.edu/celebration-scholars/. The following are members of the Research, Scholarship, and Creativity Committee who are eager to listen to ideas and answer questions:

Jun Wang
Kim Instenes
John Kirk
Nora Nickels
Andrew Pustina
James Ripley

#05: Investigating Diversity, Equity, and Inclusion in Statistics and Data Science Courses

Name: Elizabeth Rahmel
Major: Mathematics
Hometown: Hartland, WI
Faculty Sponsor: Diana Thomson
Other Sponsors: Sara Jensen, Haley Yaple
Type of research: SURE
Funding: SURE

Name: Jordan Ball
Major: Computer Science
Hometown: Twin Lakes, WI
Faculty Sponsor: Diana Thomson
Other Sponsors: Sara Jensen, Haley Yaple
Type of research: SURE
Funding: SURE

Name: Lydia Rehder
Major: Mathematics
Hometown: Chisago Lakes, MN
Faculty Sponsor: Diana Thomson
Other Sponsors: Sara Jensen, Haley Yaple
Type of research: SURE
Funding: SURE

Abstract

In August 2020, the Kenosha community, home of Carthage College, was devastated after the shooting of Jacob Blake and the ensuing protests. Issues of inequality and racism have been at the forefront nationally in recent years and data is one of the most useful tools to quantify inequity and injustice. Our research group spent the summer of 2021 working towards a plan to incorporate such data into the statistics and data science classrooms. We began by curating and cleaning real-world data sets that fit our DEI theme. Examples include data related to COVID-19 vaccination status, fatal police shootings, income by sex, and more. Then we evaluated and analyzed those data sets as students would in Carthage’s Elementary Statistics class. We developed lesson plans and researched best pedagogical practices, such as creating “Principled Space” and how to facilitate productive and engaging classroom discussions. Finally, we developed survey methods to measure our impact. This social-justice-oriented curriculum was implemented into a new course, Statistics for Social Justice, during the Spring 2022 semester. Exposing Carthage students to concrete examples of social justice issues may have significant benefits, including making class content more relatable, improving students’ technical skills, and showcasing the power of quantitative literacy and analysis, all while emphasizing the need for change in our society.

Poster file