A graduate student from the University of Wisconsin–Madison is pushing for the disaggregation of data in research to better understand how individuals from different ethnic subgroups are represented as research participants and as researchers. Kao Lee Yang began writing and discussing the topic after the Howard Hughes Medical Institute’s Gilliam Fellowship for Advanced Study rejected her application for not meeting their racial and ethnic underrepresentation criteria, despite often being the only Hmong American scientist in many research spaces. Yang joins the podcast to discuss her opinion piece for STAT News, the problems with using aggregated data, and how the push to study individual ethnic groups could improve Alzheimer’s disease research.
Guest: Kao Lee Yang, MPA/PhD candidate in the Neuroscience and Public Policy Program and Bendlin Laboratory, University of Wisconsin–Madison
Episode Topics6:12 Why is combining all Asian people into one category detrimental? What is improved when this population is broken down by specific heritages and ethnicities?
8:40 How did people respond to your initial article in STAT News?
9:30 Why do you think it’s important to look at the individual ethnic groups within research?
11:17 How does the problem of aggregating data on Asian Americans impact the field of Alzheimer’s disease research?
Show NotesRead Yang’s opinion piece, “I’m almost always the only Hmong American scientist in the room. Yet I was told I come from a group overrepresented in STEM,” on STAT News’ website.
Read Yang’s correspondence, “Disaggregate data on Asian Americans — for science and scientists,” on Nature’s website.
To learn about more Hmong researchers and scientists like Kao Lee Yang, follow the Twitter account she recently launched, @HmongInBioSci.
Read about Alzheimer’s disease research in the Bendlin Lab.
The Case for Disclosing Biomarker Results to Alzheimer’s Research Participants
Promoting Open Science and Community Engagement with the National Institute on Aging
Moving into the Digital Era of Alzheimer’s Disease Research
National Efforts to Standardize Brain Scan Data for More Accurate Alzheimer’s Risk Predictions
Protecting Participant Privacy and Making Predictions Using Alzheimer’s Data
The Future of Sharing and Accessing Alzheimer’s Disease Data
Introducing the National Alzheimer’s Coordinating Center
Study Shows APOE e4 Not Associated with Alzheimer’s Disease in American Indian Populations
Improving Registries and Representation in Alzheimer’s Disease Research
Highlights from the 2022 Alzheimer’s Association International Conference
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Apathy and Alzheimer’s Disease: Plenary Preview with Dr. Krista Lanctôt
Scientific Importance of Diversity in Alzheimer’s Disease Research
Delirium and Dementia: Plenary Preview with Dr. Sharon Inouye
Non-Pharmacological Care for People with MCI and Dementia: Plenary Preview with Dr. Linda Lam
Opening Doors to Research Participants: Making Scientific Conferences Accessible to the Public
The World’s Largest Forum for Alzheimer’s Research: Introducing the AAIC 2022 Special Series
Study Shows Do-Not-Resuscitate Orders Can Lead to Worse Care, Increase Death Rates
‘Finding the Right Words’: Author Interview with Cindy Weinstein and Bruce Miller
Alcohol and the Brain: One Drink a Day Associated with Brain Shrinkage
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