Making data visualizations accessible to blind and visually impaired people would help improve equity in higher education and assist them with data-driven reasoning and communication.
Justice Equity Diversity and Inclusion
Critical Race Theory and Statistical Analysis: What You Need to Know
To explain and motivate the importance of critical race theory to statisticians, the JEDI Outreach Group sponsored the 2023 Joint Statistical Meetings session titled Critical Race Theory for Statisticians: Incorporating CRT into Statistical Analysis. Here, Emily Griffith summarizes the highlights.
JSM Session Touches on Equity
Sunghee Lee, Claire McKay Bowen, and Amanda Coston discussed racial bias, privacy concerns, and the fairness or unfairness of predictive algorithms at the 2023 Joint Statistical Meetings.
WNAR Session Explores Race, Ethnicity, Ancestry in Statistics
The International Biometrics Society Western North American Region meeting recently featured an invited session, titled “Considerations and Best Practices for Using Race, Ethnicity, Ancestry in Different Areas of Statistics and Data Science Research,” organized and chaired by Maricela Cruz and Audrey Hendricks.
JEDI Corner: Suggestions for Combining Secondary Data Analysis and Community-Based Research
Traditional approaches to secondary data analysis do not involve the people most affected by the analysis, which can create distance between statisticians or data scientists and the communities behind it. By connecting secondary data analysis with community-based research, we can decrease this distance.
ASA Pride Scholarship Nominations Open
The ASA Pride Scholarship was established to raise awareness for and support the success of LGBTQ+ statisticians and data scientists and allies.
ASA Recognizes Academic Departments for JEDI Efforts
Learn how the University of Iowa, New York University, and Indiana University are prioritizing justice, equality, diversity, and inclusion.
JEDI Corner: Promoting Diversity in Data Repository Research
The National Institutes of Health is investing resources in constructing secure data repositories in which researchers and community members are able to use publicly available data. One such program is the NIH’s All of Us Research Program, which has expanded its Researcher Workbench to include data contributed by more than 329,000 participants, about 80 percent of whom are from communities that have been historically underrepresented in biomedical research.
The JEDI Corner: Statistics for Equity: Capturing, Not Masking, Intersectional Dynamics in Data
Intersectionality, which refers to the overlapping nature of multiple oppressions based on one’s identity (e.g., gender, race/ethnicity, sexual orientation, age), continues to present communication challenges in the world of statistics.
JSM 2021: Data for Good and the Stories It Tells
David Corliss recommends making JSM 2021 the event that will help you tell your own Data for Good story and offers suggestions for sessions and search terms to get involved.