I'm Nussara Tieanklin or Firn. I am a Ph.D. Student, advised by Professor Kurtis Heimerl in the Information and Communication Technology for Development (ICTD) Lab at Paul G. Allen School of Computer Science and Engineering, University of Washington (Seattle, WA).
My research interests center on the integration of qualitative study, mixed methods, and machine learning within the broader framework of Data Science for Social Good. My recent work examines how chronic air pollution exposure intersects with the economic vulnerability of marginalized population and gig workers, particularly motorcycle rideshare drivers in urban Thailand. I explore how income instability, limited health literacy, and policy neglect shape workers’ ability to manage environmental risks. I also collaborate with local nonprofit organizations to develop public health interventions and advocate for labor policies that recognize and address the lived realities of these vulnerable workers.
I am also interested in using community networks bridging the digital divide. Aside from helping technical installations and community outreach in the Seattle Community Network, I also conduct qualitative researches, help with installations, teach technical workshops, and expand community outreach.
Let's exchange ideas and opportunity here at nussara [at] cs.washington.edu.
Dec 2024: Presented "I will just have to keep driving": A Mixed-methods Investigation of Lack of Agency within the Thai Motorcycle Rideshare Driver Community at CSCW2024 in Costa Rica!.
May 2024: We have completed collecting 7 months of real-time, hyperlocalized air pollution data from motorcycle taxi drivers in Bangkok and Chiang Mai!
Apr 2024: The work on how financial and social pressures limit Thai motorcycle taxi drivers' autonomy to avoid air pollutions despite on the promsised flexibility of gig work, published at CSCW2024!.
Oct 2023: Joined AEROTHAI as an Air Traffic Flow Data Officer ᯓ ✈︎
Jul 2023: Spent the summer in Thailand deploying mobile sensors on motorcycles to collect real-time air pollutions!