Dr. Dang Nguyen
Dr. Dang Nguyen (Nguyễn Hồng Hải Đăng in her native Vietnamese) is a Research Fellow at the ARC Centre of Excellence for Automated Decision Making & Society, located in the School of Media and Communication at RMIT University, Melbourne.
Dang Nguyen (Nguyễn Hồng Hải Đăng in her native Vietnamese) is a Research Fellow at the ARC Centre of Excellence for Automated Decision Making & Society (ADM+S), located in the School of Media and Communication at RMIT University, Melbourne. She holds a PhD from the University of Melbourne and a Master of Science in Social Science of the Internet from the University of Oxford, where she was a Chevening Scholar. She was also a 2019-20 Fox International Fellow at Yale University.
Dang is interested in the socio-historical dimensions of automation as part of her work at the ADM+S. Currently, she's working on projects that look at three related strains of research: (1) the escalated adoption (and legitimisation) of automated technologies through the COVID-19 pandemic across the developing world, (2) the moral economy of informal automated work and precarious labour in the Global South, and (3) the politics of health data
Dang's overall research interests lie at the intersection of digital technologies and our society and culture. Her doctoral research at The University of Melbourne investigates the relational entanglement of digital technology and culture in its mutual shaping of transnational experiences of health and illness, using both quantitative and qualitative digital methods. Parts of this research have been published in outlets such as Social Science & Medicine, Health & Place, Media, Culture & Society, Howard Journal of Communications, and Journal of Digital Social Research.
Dang has taught media and communication studies subjects at the tertiary level in Australia, Singapore, and Vietnam. She has received a Dean’s Commendation for Outstanding Teaching (RMIT University, 2019) and an Associate Dean’s Commendation for Excellent Teaching (RMIT University, 2018).
Please visit Dang's website for the most up-to-date list of publications and projects at https://www.dangnguyen.digital/
- PhD, University of Melbourne, 2022
- MSc (Social Science of the Internet), University of Oxford, 2015
- BComm, RMIT, 2012
- Nguyen, D. (2022). In press - Wear your digital mask, fight this virus like it’s the enemy: pandemic user-citizenship as platform-infrastructure entanglements In: Information Communication and Society, , 1 - 18
- Nguyen, D. (2022). In press - Convenient efficiency: A media genealogy of QR codes In: New Media and Society, , 1 - 21
- Nguyen, D. (2021). The network life of non-biomedical knowledge: mapping Vietnamese traditional medicine discourses on Facebook In: Journal of Digital Social Research, 3, 10 - 43
- Nguyen, D.,Arnold, M.,Chenhall, R. (2021). The internet as non-biomedical milieu: Production of alternative health techno-social spaces and the persistence of marginalised medical practices In: Health and Place, 70, 1 - 7
- Nguyen, D. (2021). Can’t wait to feel better: Facebook Live and the recalibration of downtime in tending to the body In: Media, Culture and Society, 43, 984 - 999
- Nguyen, D. (2021). Dropping in, Helping Out: Social Support and Weak Ties on Traditional Medicine Social Networking Sites In: Howard Journal of Communications, 32, 235 - 252
- Brennan, L.,Parker, L.,Nguyen, D.,Pochun, T. (2020). Positive emotions in social marketing and social advertising using humour In: Social Marketing and Advertising in the Age of Social Media, Edward Elgar , United Kingdom
- Dingeldei, J.,Brennan, L.,Parker, L.,Nguyen, D.,Chorazy, E. (2020). Telling stories: the science of social media content In: Social Marketing and Advertising in the Age of Social Media, Edward Elgar , United Kingdom
- Nguyen, D.,Brennan, L.,Parker, L.,Phan, T.,Chorazy, E. (2020). Social media mechanics and marketing strategy In: Social Marketing and Advertising in the Age of Social Media, Edward Elgar, United Kingdom
- Nguyen, D. (2019). Mapping knowledge domains of non-biomedical modalities: A large-scale co-word analysis of literature 1987–2017 In: Social Science and Medicine, 233, 1 - 12