Abstract Number:
1377
Submission Type:
Invited Paper Session
Participants:
Shiya Cao (1), Johanna Hardin (3), Kaitlyn Cook (2), Sandra Hurtado Rúa (4), Sunghee Lee (5), Stephanie Cook (6), Shiya Cao (1), Keegan Kang (7)
Institutions:
(1) N/A, N/A, (2) Smith College, N/A, (3) Pomona College, N/A, (4) Cleveland State University, N/A, (5) University of Michigan, N/A, (6) New York University, N/A, (7) Bucknell University, N/A
Chair:
Discussant:
Session Organizer:
Speaker(s):
Session Description:
Worldwide, one in seven people experience some type of disability (International Labour Organization, 2022). Disability inclusion is a process for improving participation in all aspects of life for disabled people through enhancing access to resources and elevating the voice of disabled people (Trauth, 2017). Disability inclusion relates to intersectionality because disability is never experienced in separation from other parts of one's identity but intersectionally, where multiple systems of oppression interact in shaping individual experiences. In this invited paper session, we aim to bring the conversations of intersectionality into the field of statistics to explore novel interdisciplinary research and demonstrate how we can use statistical methods to study intersectionality. These statistical methods range from sampling to statistical modeling to model diagnostics, across a variety of application areas (health care, societal issues, transportation and accessibility). Each speaker provides insight into how they apply statistical methods or develop statistical measurement from an intersectionality lens. At the end of the session, the discussant will facilitate a conversation on prospects for advancing statistics research in broader social inclusion topics. This discussion and associated Q&A will address issues in conducting emerging research related to intersectionality and disability inclusion.
List of talks and invited speakers:
● Title: Modeling the relationship between disability and race in a cohort of multiple sclerosis patients with imaging biomarkers: A statistical mediation analysis approach
o Speaker: Sandra Hurtado Rúa, Cleveland State University, s.hurtadorua@csuohio.edu
● Title: Intersectionality of race and psychological distress among people who inject drugs from respondent driven sampling
o Speaker: Sunghee Lee, University of Michigan, sungheel@umich.edu
• Title: Understanding disabilities among people of color: Making the invisible processes visible through using novel statistics intersectional methods
o Speaker: Stephanie Cook, New York University, sc5810@nyu.edu
● Title: Model diagnostics after using random projections: An applied study on travel disability data
o Speakers: Shiya Cao, Smith College, scao53@smith.edu; Keegan Kang, Bucknell University, kk054@bucknell.edu
● Discussant: Johanna Hardin, Pamona College, Jo.Hardin@pomona.edu
Session organizer: Shiya Cao, Smith College, scao53@smith.edu
Session chair: Kaitlyn Cook, Smith College, kcook93@smith.edu
Sponsors:
Committee on Statistics and Disability 1
Health Policy Statistics Section 3
Social Statistics Section 2
Theme:
Statistics and Data Science: Informing Policy and Countering Misinformation
Yes
Applied
Yes
Estimated Audience Size
Medium (80-150)
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