Abstract Number:
1400
Submission Type:
Invited Paper Session
Participants:
Ana Best (1), Rebecca Hubbard (3), Laura Yee (2), Suzanne Thornton (4), Emma Benn (5), Stephanie Cook (6)
Institutions:
(1) National Cancer Institute DCTD BRP BB, N/A, (2) NIH - National Cancer Institute, N/A, (3) University of Pennsylvania, N/A, (4) N/A, N/A, (5) Icahn School of Medicine at Mount Sinai, N/A, (6) New York University, N/A
Chair:
Discussant:
Session Organizer:
Ana Best
National Cancer Institute DCTD BRP BB
Speaker(s):
Emma Benn
Icahn School of Medicine at Mount Sinai
Session Description:
Focus and Content: The ability to conduct inclusive and informative research on issues faced by marginalized communities starts with accurate and inclusive data collection. This session will include speakers from a broad range of underrepresented backgrounds and focus on ways in which misinformation and cultural biases are perpetuated by inadequate data collection. Speakers will also discuss best practices for data collection across a range of marginalized communities.
Timeliness: In recent years, there has been a rapid rise in interest in improving representation of marginalized communities in a broad range of research settings. Unfortunately, there has also been a rapid rise in quantity and reach of misinformation regarding these communities. A session addressing the relationships between data collection and misinformation is timely, and fits with the theme of the 2024 JSM meeting: "Statistics and Data Science: Informing Policy and Countering Misinformation."
Appeal: The session should appeal both to attendees who themselves are members of one or more marginalized communities, as well as the broader community of attendees who are interested in conducting accurate and inclusive research in social sciences, health sciences, and other research settings.
Session Format: Five 15-minute talks on data issues in sex and gender identity, race and ethnicity, sexual orientation, physical disabilities or neurodivergence, and body weight and size, followed by a 35-minute panel discussion between the speakers and facilitated by the discussant, focusing in part on intersectionality between the topics discussed by the speakers.
Sponsors:
ASA LGBTQ+ Advocacy Committee 2
ENAR 1
Justice Equity Diversity and Inclusion Outreach Group 3
Theme:
Statistics and Data Science: Informing Policy and Countering Misinformation
Yes
Applied
Yes
Estimated Audience Size
Large (150-275)
I have read and understand that JSM participants must abide by the Participant Guidelines.
Yes
I understand and have communicated to my proposed speakers that JSM participants must register and pay the appropriate registration fee by June 1, 2024. The registration fee is nonrefundable.
I understand