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
- Affiliate Scientist, Rehabilitation Engineering Research Center (RERC) on Blindness and Low Vision at the Smith-Kettlewell Eye Research Institute
Honors and Awards
- Early Career Award, Institute of Museum and Library Services (IMLS), 2023-2026
- Teach Access Faculty Award, 2023
- 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), National Science Foundation (NSF), National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR), Posit Software, PBC (formerly RStudio), Teach Access, 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.
By appointment, please contact professor
Publications & Papers
Seo, J., & Rogge, M. (accepted). Coding non-visually in visual studio code: Collaboration towards accessible development environment for blind programmers. The 25th International ACM SIGACCESS Conference on Computers and Accessibility.
Seo, J., & Dogucu, M. (2023). Teaching Visual Accessibility in Introductory Data Science Classes with Multi-Modal Data Representations. Journal of Data Science, 1–14. https://doi.org/10.6339/23-JDS1095
Seo, J., Xia, Y., Yam, Y. J., & McCurry, S. (2023). MAIDR: Multimodal Access and Interactive Data Representation System for Inclusive Data Science Education. 2023 International Conference of the Learning Sciences.
Lee, J. G. W., Lee, K., Lee, B., Choi, S., Seo, J., & Choe, E. K. (2023). Personal Health Data Tracking by Blind and Low-Vision People: Survey Study. Journal of Medical Internet Research, 25(1), e43917. https://doi.org/10.2196/43917
* Kaushik, S., Barbosa, N. M., Yu, Y., Sharma, T., Kilhoffer, Z., Seo, J., Das, S., & Wang, Y. (2023). GuardLens: Supporting safer online browsing for people with visual impairments. Nineteenth Symposium on Usable Privacy and Security (SOUPS 2023), 361–380. https://www.usenix.org/conference/soups2023/presentation/kaushik
Zhang, Z. (Jerry)., Kaushik, S., Seo, J., Yuan, H., Das, S., Findlater, L., Gurari, D., Stangl, A., & Wang, Y. (2023). ImageAlly: A Human-AI hybrid approach to support blind people in detecting and redacting private image content. Nineteenth Symposium on Usable Privacy and Security (SOUPS 2023), 417–436. https://www.usenix.org/conference/soups2023/presentation/zhang
Moon, J., Choi, G. W., & Seo, J. (accepted). Revisiting multimedia learning design principles in virtual reality-based learning environments for autistic individuals. Virtual Reality.
Moon, J., Lee, D., Choi, G. W., Seo, J., Do, J., & Lim, T. (2023). Learning analytics in seamless learning environments: A systematic review. Interactive Learning Environments, 0(0), 1–18. https://doi.org/10.1080/10494820.2023.2170422
Kim, S. H., Yoon, A., & Seo, J. (in press). Trend of collaboration in STEM education in informal learning institutions based on IMLS-funded projects. Annual Meeting 2023 Association for Information Science and Technology. Annual Meeting 2023 Association for Information Science and Technology.
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. https://doi.org/10.1145/3491102.3517635. 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. https://doi.org/10.1007/s11528-021-00689-3
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. https://doi.org/10.1108/ILS-10-2020-0230
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. https://doi.org/10.1145/3441852.3476562
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. https://doi.org/10.1080/09286586.2020.1863993
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. https://doi.org/10.1080/01612840.2019.1705944.
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. https://doi.org/10.1007/s11528-019-00377-3.
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): https://www.anl.gov/event/accessibility-of-science-beyond-content-accessibility.
Seo, J. (2021, June). How to Learn to Code. Nature, Webcast: https://doi.org/10.1038/d41586-021-01638-z.
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): https://global.rstudio.com/student/page/40617.
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.
In the News
- Information Access
- Diversity and Social Justice
- Human Computer Interaction, User Experience, Computer Supported Cooperative Work
- Design and Evaluation of Information Systems and Services
- Computational Social Science, Social Computing
- Natural Language Processing, Text Mining, Text Analysis, Computational Linguistics
- Data Analytics and Human Centered Data
- Health, Medical, and Bio-Informatics