For a full list of publications, please take a look at my CV.
Technology solutions have been proposed to address the "care gap" that the United States has been facing due to a low supply of caregivers. Rather than continuing to develop such technologies that burden, invisibilize, and surveil workers, my dissertation research looks to see how technology could be used to advocate for the workers, amplifying their voices and highlighting their work.
Peer-Reviewed Publications
Exploring Data-Driven Advocacy in Home Health Care Work
Joy Ming, Hawi Tolera, Jiamin Tu, Ella Yitzhaki, Chit Sum Eunice Ngai, Madeline Sterling, Ariel Avgar, Aditya Vashistha, Nicola Dell
Under Review, 2024
‘Who is running it?’ Towards Equitable AI Deployment in Home Care Work
Ian Rene Solano-Kamaiko, Melissa Tan, Joy Ming, Ariel Avgar, Aditya Vashistha, Madeline Sterling, and Nicola Dell
Under Review, 2024
‘I Go Beyond and Beyond’: Examining the Invisible Work of Home Health Aides
Joy Ming, Elizabeth Kuo, Katie Go, Emily Tseng, John Kallas, Aditya Vashistha, Madeline Sterling, Nicola Dell
Proceedings of the ACM on Human-Computer Interaction (CSCW 2023)
Public-Facing Writing
Technology in Home Care: Surveillance & Solidarity
Joy Ming
To be published in Logic(s) Magazine in 2024
Recommendations for Home Healthcare Worker Policies
Ella Yitzhaki and Joy Ming
Policy Memo from 2024
Invisible Work and Technology for Home Health Aides
Joy Ming
ACM CSCW Medium Blog 2023
My non-dissertation PhD projects include:
AI in the nonprofit human services: Distinguishing between hype, harm, and hope
Lauri Goldkind, Joy Ming and Alex Fink
To be published in Human Service Organizations, 2024)
Liturgy for Technology: A Reflection on Designing for Conquest or Liberation
Joy Ming and SueAnn Shiah
ACM CHI conference on Human Factors in Computing Systems (alt.chi 2024)
Making Sense of Civic Voice Using Computer-Driven Analysis with the NYC Civic Engagement Commission
Joy Ming
Public Interest Technology Initiative at Cornell Tech Blog 2023
Invisible Work in Two Frontline Health Contexts
Joy Ming, Srujana Kamath, Elizabeth Kuo, Madeline Sterling, Nicola Dell, Aditya Vashistha
ACM Conference on Computing and Sustainable Societies (COMPASS 2022)
Accept or Address? Researchers' Perspectives on Response Bias in Accessibility Research
Joy Ming, Sharon Heung, Shiri Azenkot, Aditya Vashistha
ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2021)
In the past at Google and at Harvard, I've also worked on other projects helping small-business entrepreneurs and gig workers in the US and all over the world (2018-2020), designing hybrid tools along the paper-digital spectrum for rural health centers (2014-2016, ICTD'16), and analyzing data from clinical settings and online medical forums using topic models (2015, undergrad thesis).