Welcome!

Hi! I am Nari. I am an Assistant Professor of Social Work and a Scholar of the Michigan Program for Advancing Cultural Transformation at the University of Michigan.

RESEARCH INTERESTS

I am a social work scholar and public interest technologist. Combining years of work with immigrant and refugee organizations with training in social work and computational social science, I study mental health, well-being, and service use among immigrants and racial, ethnic, and linguistic minorities, with a focus on language and technology. Specifically, my research examines (a) access to care and support among immigrants and linguistic minorities, with attention to language access and the policies that govern it; (b) the use of digital technology and AI in immigrants’ help-seeking and support; and (c) the adoption of AI in health and social service organizations and in social work practice and education. Besides studying technology in my research, I enjoy programming tools for social impact, in Python for research and in JavaScript and HTML for the web applications on my Data & Tools page.

My first-authored papers have been published in the American Journal of Public Health, Health Services Research, Social Science & Medicine, Psychiatric Services, International Migration Review, and Journal of Ethnic and Migration Studies. My dissertation was supported and awarded by the Society for Social Work Research, Grand Challenges for Social Work, the American Psychological Association, and New York University. I have received national awards and scholarships in Korea from the Migration Research and Training Centre, the Ministry of Health and Welfare, and the Ministry of Education. Outside of research, I serve as a board member of Migration to Asia Peace and a research committee member of Mustard Seed Generation.

At the University of Michigan, I am a faculty affiliate of the e-Health and Artificial Intelligence (e-HAIL) initiative, Institute for Healthcare Policy and Innovation, the Michigan Institute for Data and AI in Society (MIDAS), and the Curtis Center for Health Services Research and Innovation. At NYU, I was selected as the inaugural predoctoral fellow at the Constance and Martin Silver Center on Data Science and Social Equity and co-organized the Summer Institute in Computational Social Science (SICSS)–NYU Silver, focusing on data science for social good. I hold a PhD in Social Work from New York University.


Disclaimer. This blog is for general informational purposes only. I cannot provide individual consulting on research or career questions, and I do not respond to personal inquiries. All views expressed are my own and do not represent my institution.

PROSPECTIVE MENTEES

Prospective PhD students. I take doctoral mentees only when a student’s research interests overlap closely with mine, and that overlap has to include immigrants or refugees as the population of interest. If you plan to study children or older adults in general, I am not the right primary mentor for you, even if you are interested in computational methods, data science, or AI. If your interests do match, please read my notes for prospective PhD students before writing. It covers how advisor matching actually works, what a close fit looks like, funding, and how to strengthen an application, and it will answer most of what you would otherwise be emailing to ask.

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