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Equity-Centered Data: Making Communities Visible
Register now to join Tufts CTSI and the Addressing Disparities in Asian Populations through Translational Research (ADAPT) Coalition for the 8th Annual Asian Health Symposium “Equity-Centered Data: Making Communities Visible.”
This half-day, in-person event will be held Tuesday, October 8, 2024 from 8:30AM-1:30PM EST on the Tufts Health Sciences Campus. (Breakfast and Registration: 8:30AM-9:15AM; Lunch and Networking: 12:30PM-1:30PM.)
Asian American and Pacific Islander (AA&PI) populations are the fastest growing racial group in the U.S., comprising over 50 ethnicities speaking more than 100 languages. Despite their diverse lived experiences and health needs, AA&PI communities are often misrepresented as a homogenous “model minority” in health data and research. In August 2023, Massachusetts passed the Data Equity Bill, a landmark legislation mandating state agencies to collect data on major ethnic groups, not just race. This disaggregation of data provides a more accurate and nuanced understanding of diverse communities across the state. While this bill is a significant step towards improving data equity, further efforts are needed across government and health sectors to ensure that all communities are fairly represented in data and decision-making.
Join us to explore the importance of data equity, the vital role of community voices and intersectionality, and cross-sectoral and cross-racial strategies to promote data equity in Massachusetts.
Learning Objectives:
- Summarize the recently passed Massachusetts Data Equity Bill, its impact on existing public health systems, and its implications for advancing health equity across diverse communities.
- Discuss the importance of uplifting diverse data sources, intersectionality, and community-led approaches to knowledge production.
- Identify opportunities for cross-sectoral and cross-racial strategies to promote equitable representation of diverse communities in data collection and knowledge production.
Details
Tuesday, October 8, 2024, 8:30AM-1:30PM EST
Tufts University School of Medicine, Room #114 | 145 Harrison Ave. — Chinatown, Boston
Flyer
Download and share the English language version and translated version!
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Registration
Researchers and community members are encouraged to attend.
Chinese (Mandarin and Cantonese) language interpretation will also be available for attendees.
Space is limited! Please register here by Tuesday, October 1.
Speaker Biographies
Our keynote speaker will be Akil Vohra, JD. As Director of Policy for AAPI Data, Mr. Vohra oversees federal and state strategies to ensure collection, analysis, publication, and utilization of data to advance understanding and support of Asian American, Native Hawaiian, and Pacific Islander (AANHPI) communities.
Our panel will feature multidisciplinary experts in data equity, including representatives from community-based organizations, government, research institutions, and healthcare systems.
Click here for full biographies of all panelists and speakers!
Agenda
8:30 – 9:15
Registration and Breakfast
9:15 – 9:30
Welcome and Opening Remarks
Harry Selker, Dean, Tufts CTSI
Erin Gibson, Executive Director, Tufts CTSI
MyDzung Chu, ADAPT Director, Tufts CTSI
Dawn Sauma, ADAPT Co-Chair; Co-Executive Director, Asian Task Force Against Domestic Violence (ATASK)
9:30 – 10:00
Keynote
Akil Vohra, Director of Policy, AAPI Data
10:00 – 11:00
Panel: The Data Equity Movement – Gaps and Opportunities
Co-moderators: Carolyn Chou, Executive Director, Homes for All Massachusetts; Tsung Mou, Assistant Professor, Tufts University School of Medicine
Jenny Chiang, Senior Vice President of Community Engagement and Market Growth, Tufts Medicine Integrated Network
Cheryl Clark, Executive Director and Senior Vice President, Massachusetts League of Community Health Centers’ Institute for Health Equity Research, Evaluation and Policy; Associate Chief for Equity Research and Strategic Partnerships, Division of General Internal Medicine and Primary Care, Brigham and Women’s Hospital
Robert Goldstein, Commissioner, Massachusetts Department of Public Health
Bethany Li, Legal Director, Asian American Legal Defense and Education Fund
Paul Watanabe, Director, Institute for Asian American Studies at the University of Massachusetts Boston
11:00 – 11:15
Break and Transition to Breakout Rooms
11:15 – 12:15
Concurrent Breakout Rooms
Facilitators: Jaya Aiyer, Director, Asian and Pacific Islanders Civic Action Network; Catherine Chung, Senior Program Manager, Asian Women for Health; Tsung Mou, Assistant Professor, Tufts University School of Medicine
Group 1: Intersectionality and Structural Drivers of Health
Intersectionality recognizes the multiple identities we hold and the unique challenges individuals face as a result of intersecting and overlapping discrimination. This breakout will explore how we can build research and data systems that capture intersectionality and structural drivers of health.
Group 2: Centering Community Voices
Community stories are vital to understanding the impacts and causes of local issues. This breakout will explore the importance of diverse data – including community stories – and how we can center communities in our data and our ways of producing knowledge.
Group 3: Cross-Racial Strategies for Data Equity
Data equity is a cross-racial issue, affecting diverse communities across the state. This breakout will discuss strategies for cross-racial solidarity to further health equity and to ensure that data equity benefits all communities.
Reconvene and report-out
12:20 – 12:30
Summary and Closing Remarks
MyDzung Chu, ADAPT Director, Tufts CTSI
12:30 – 1:30
Lunch and Networking
Thank you to our Symposium planning committee (Dawn Sauma, ADAPT Co-Chair and Co-Executive Director, Asian Task Force Against Domestic Violence; Naheed Esar, Executive Director, Asian Women for Health; and Tsung Mou, Assistant Professor, Tufts University School of Medicine), as well as our Tufts CTSI Professional Education team and Communications Manager, for all of their work on this event.
This event is provided free of charge, and was supported by the National Center for Advancing Translational Sciences, National Institutes of health, Award Number UM1TR004398. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.
Join us for an engaging live Zoom event featuring