The JEDI Outreach Group is the primary or co-sponsor for 11 JSM sessions this year, with leading researchers and emerging leaders covering a wide variety of interests.
equity
Diversity Workshop and Mentoring Program to Take Place at JSM 2024
This program brings together historically underrepresented minority statisticians and data scientists at early to mid-career levels with senior-level statisticians and data scientists from academia, government, and the private sector.
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.
Applying Equity Awareness in Statistical Data Privacy Takes a Village
Authors Claire McKay Bowen and Joshua Snoke examined the current state of ideas about privacy-preserving methods and data sharing. Learn about their five takeaways.
JEDI Corner: Student Travel Funding Needed to Improve Access to Profession
For students with marginalized identities, a conference may be the first place they encounter other statisticians with similar identities, which could contribute to a sense of belonging in the field. However, equitable accessibility to conferences is not always available for these students.
JEDI Corner: Biostatistics Program Gives Students Real-World Experience
The Collaborative Undergraduate Biostatistics Experience (CUBE) is gearing up for its second year at Virginia Tech this summer. CUBE exposes undergraduate STEM students, specifically those who are part of an underrepresented/minority population, to the data science and collaborative biostatistics fields.
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.
Embracing JEDI Is Embracing the Intellect of All
Dionne Price discusses the work the Anti-Racism Task Force is doing with the Nova Collective to move the ASA forward in its diversity, equity, and inclusion work.