JooYoung Seo

Assistant Professor

PhD, Learning, Design, and Technology, Pennsylvania State University

Other professional appointments

Faculty Affiliate, National Center for Supercomputing Applications (NCSA)
Faculty Affiliate, Illinois Informatics
Data Science Educator Affiliate, RStudio

Research focus

Accessible computing/data science, ability design human-computer interaction, inclusive Learning Sciences/STEM+C education across dis/abilities, and accessible health informatics.

Honors and Awards

  • Teacher Ranked as Excellent, University of Illinois (Spring 2022)
  • Best Paper Honorable Mention, 2022 ACM CHI
  • 2021-2022 Emerging Scholar, International Society of the Learning Sciences (ISLS)
  • Qualcomm Fellowship (2020), ACM Richard Tapia Celebration of Diversity in Computing Conference
  • Doctoral Dissertation Fellowship (2020), College of Education, The Pennsylvania State University
  • Cengage Best Doctoral Proposal Fellowship (2019), International Conference on Quantitative Ethnography
  • Andrew V. Kozak Memorial Fellowship (2019), The PDK Educational Foundation
  • Delta Gamma Golden Anchor Award (2015, 2017), The Pennsylvania State University
  • Global Korean Government Scholarship (2014-2016), National Institute for International Education, Korean Government, Seoul, South Korea


JooYoung Seo is an assistant professor in the School of Information Sciences, faculty affiliate at the National Center for Supercomputing Applications, and faculty affiliate at Informatics at the University of Illinois Urbana-Champaign. Seo is also an RStudio double-certified data science instructor and accessibility expert certified by the International Association of Accessibility Professionals (IAAP). His research topics involve accessible computing, universal design, inclusive data science, and equitable healthcare technologies. As an emerging learning scientist and information scientist, his research focuses particularly on how to make computational literacy more accessible to people with dis/abilities by using multimodal data representation.

He has worked on various research and development projects on accessible computing and open-source data science packages (e.g., gt; shiny; rmarkdown to name a few) for accessibility. His research projects have involved not just web accessibility, but also human-centered design and development studies, including inclusive makerspaces, tangible block-based programming, accessible data science (e.g., data tactualization, sonification, and verbalization), and accessible/reproducible scientific writing tools for people with and without dis/abilities. His research is funded by national institutes, industrial partners, and academic society, such as Institute of Museum and Library Services (IMLS), Posit Software, PBC (formerly RStudio), and the International Society of the Learning Sciences (ISLS) and the Wallace Foundation.

Seo obtained his PhD and M.Ed in learning, design, and technology at the Pennsylvania State University, and double BA in education and English literature from Sungkyunkwan University, Seoul, South Korea.

JooYoung Seo CV

Office hours

By appointment, please contact professor

Publications & Papers

Seo, J., & Dogucu, M. (2022). Teaching visual accessibility in the introductory data science classes: Why, what, when, and how. The 2022 symposium on data science & statistics. Pittsburgh, PA, USA: American Statistical Association.

Huh, M., & Seo, J. (2022). A duoethnographic study of a mixed-ability team in a collaborative group programming project. In Proceedings of the 15th international conference on computer supported collaborative learning (CSCL), 2022. International Society of the Learning Sciences (ISLS).

Lee, C. Y. P., Zhang, Z., Herskovitz, J., Seo, J., & Guo, A. (2022). CollabAlly: Accessible Collaboration Awareness in Document Editing. CHI Conference on Human Factors in Computing Systems, 1–17. Honorable mention award.

Seo, J., & Choi, S. (2022). Are blind people considered a part of scientific knowledge producers?: Accessibility report on top-10 SCIE journal systems using a tripartite evaluation approach. Journal on Technology and Persons with Disabilities.

Seo, J., Moon, J., Choi, G. W., & Do, J. (2022). A scoping review of three computational approaches to ethnographic research in digital learning environments. TechTrends

Seo, J., & Richard, G. T. (2021). SCAFFOLDing all abilities into makerspaces: A design framework for universal, accessible, and intersectionally inclusive making and learning. Information and Learning Sciences.

Lee, C. Y. P., Zhang, Z., Herskovitz, J., Seo, J., & Guo, A. (2021). CollabAlly: Accessible collaboration awareness in document editing. The 23rd International ACM SIGACCESS Conference on Computers and Accessibility, 1–4.

Choi, S., & Seo, J. (2021). Trends in healthcare research on visual impairment and blindness: Use of bibliometrics and hierarchical cluster analysis. Ophthalmic Epidemiology, 28(4), 277–284.

Seo, J., & Richard, G. T. (2020). Coding through touch: Exploring and re‑designing tactile making activities with learners with visual dis/abilities. In M. Gresalfi & I. Horn (Eds.), Interdisciplinarity in the learning sciences, 14th international conference of the learning sciences (ICLS) 2020 (Vol. 3, pp. 1373–1380). Nashville, TN: International Society of the Learning Sciences (ISLS).

Choi, S., & Seo, J. (2020). An exploratory study of the research on caregiver depression: Using bibliometrics and LDA topic modeling. Issues in Mental Health Nursing, 1–10.

Seo, J. (2019). Is the maker movement inclusive of ANYONE?: Three accessibility considerations to invite blind makers to the making world. TechTrends, 63(5), 514–520.

Seo, J., & McCurry, S. (2019). LaTeX is NOT easy: Creating accessible scientific documents with r markdown. Journal on Technology and Persons with Disabilities, 7, 157–171.

Seo, J. (2019). Discovering informal learning cultures of blind individuals pursuing STEM disciplines: A quantitative ethnography using listserv archives. The international conference on quantitative ethnography: S66–S67. Madison, WI.

Seo, J. (2018). Accessibility and inclusivity in making: Engaging learners with all abilities in making activities. In Proceedings of the 3rd learning sciences graduate student conference (pp. 141–142). Nashville, TN: LSGSC.

Seo, J., & Richard, G. T. (2018). Accessibility, making and tactile robotics: Facilitating collaborative learning and computational thinking for learners with visual impairments. In J. Kay & R. Luckin (Eds.), Rethinking learning in the digital age: Making the learning sciences count, 13th international conference of the learning sciences (ICLS) 2018 (Vol. 3, pp. 1755–1757). London, UK: International Society of the Learning Sciences (ISLS).

Konecki, M., Lovrenčić, S., Seo, J., & LaPierre, C. (2017). The role of ICT in aiding visually impaired students and professionals. Proceedings of the 11th Multidisciplinary Academic Conference, 148.

Seo, J., AlQahtani, M., Ouyang, X., & Borge, M. (2017). Embracing learners with visual impairments in CSCL. In B. K. Smith, M. Borge, E. Mercier, & K. Y. Lim (Eds.), Making a difference: Prioritizing equity and access in CSCL, 12th inter‑ national conference on computer supported collaborative learning (CSCL) 2017 (Vol. 2, pp. 573–576). Philadelphia, PA: International Society of the Learning Sciences (ISLS).


Seo, J. (2021, October). Non-Visual Strategies for Making Statistical-Computing Accessible. Lightening talk at the National Center for Supercomputing Applications, Champaign, IL.

Seo, J. (2021, September). Accessibility of Science Beyond Content Accessibility. Talk presented at the Argonne National Laboratory (Maths and Computer Science Division):

Seo, J. (2021, June). How to Learn to Code. Nature, Webcast:

Seo, J., & Richard, G. T. (2021, February). Uncovering latent topics of blind people in computer science: structural topic modeling for an email corpus. The International Conference on Quantitative Ethnography (ICQE), Malibu, CA.

Seo, J. (2021, January). Accessible data science beyond visual models. RStudio::global(2021):

Seo, J. (2020, September). Discovering knowledge sharing patterns of blind people pursuing STEM disciplines: data science and computational linguistics on large-scale email corpora. The ACM Richard Tapia Celebration of Diversity in Computing.

Seo, J., & Richard, G. T. (2020, April). Maker inclusivity = maker accessibility: further interrogations for diverse participation. The American Educational Research Association (AERA), Virtual.

Seo, J., & Richard, G. T. (2018, April). Furthering inclusivity in making: a framework for accessible design of makerspaces for learners with disabilities. The American Educational Research Association (AERA), New York City, NY.

Seo, J. (2017, September). Tactile access to visualized statistical data using R. The ACM Richard Tapia Celebration of Diversity in Computing, Atlanta, GA.

Liao, J., Patcyk, M., Seo, J., & Hooper, S. (2016, October). Using hierarchical linear modeling to measure growth rate in a gamified CBM environment. The Northeastern Educational Research Association (NERA), Trumbull, CT.

Kim, K., Seo, J., & Clariana, R. B. (2016, March). Automatic knowledge structure measure in online courses. The Teaching and Learning with Technology (TLT) Symposium, University Park, PA.

Seo, J. (2015, November). Assistive technologies for equal access in general education. Presented at the annual meeting of the Association for Educational Communications and Technology (AECT), Indianapolis, IN.