Sayamindu Dasgupta

Assistant Professor, UNC School of Information and Library Science
(919) 962-9548
sayamindu@unc.edu
Manning Hall 22
Pronouns: He/Him/His

Faculty Expertise:

Human-computer interaction, human-centered data science, learning technologies, digital media and learning

Education:
PhD (Media Arts and Sciences), Massachusetts Institute of Technology
SM (Media Arts and Sciences), Massachusetts Institute of Technology
BTech (Computer Science and Engineering), West Bengal University of Technology

Biography:
Dr. Sayamindu Dasgupta develops new tools and experiences that support young learners in creating, thinking, and learning with data so that they can be active and empowered participants in the data-driven and data-mediated society that they live in. In this work, he seeks to engage young learners not only in understanding and consuming, but also in creating with and questioning data.

As a part of his research, Dr. Dasgupta designs new computational toolkits that help learners develop data literacies. Additionally, to understand how to best support learning and design for it, he studies learners as they engage in creative learning activities in a range of contexts and settings.

Before coming to UNC SILS, Dr. Dasgupta was a Moore/Sloan & WRF Innovation in Data Science postdoctoral fellow at the University of Washington. He received his PhD from MIT in 2016, where he was a part of the team that developed the Scratch programming language and online community.

Awards and recognition:
Honorable Mention Award (top 5% of submissions), ACM CHI 2017
Honorable Mention Award (top 5% of submissions), ACM CSCW 2016
Best Short Paper Award, IEEE VL/HCC 2015
Forbes 30 Under 30 list in education, 2014
Paper selected for “IDC 2013 best papers” section in the International Journal of Child Computer Interaction

Selected Publications:

Dasgupta, S., & Hill, B. M. (2018). How “Wide Walls” Can Increase Engagement: Evidence from a Natural Experiment in Scratch. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (pp. 361:1–361:11). New York, NY, USA: ACM. https://doi.org/10.1145/3173574.3173935

Dasgupta, S., & Hill, B. M. (2017). Scratch Community Blocks: Supporting Children as Data Scientists. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (pp. 3620–3631). New York, NY, USA: ACM. https://doi.org/10.1145/3025453.3025847

Hautea, S., Dasgupta, S., & Hill, B. M. (2017). Youth Perspectives on Critical Data Literacies. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (pp. 919–930). New York, NY, USA: ACM. https://doi.org/10.1145/3025453.3025823

Dasgupta, S., & Hill, B. M. (2017). Learning to Code in Localized Programming Languages. In Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale (pp. 33–39). New York, NY, USA: ACM. https://doi.org/10.1145/3051457.3051464

Roque, R., Dasgupta, S., & Costanza-Chock, S. (2016). Children’s Civic Engagement in the Scratch Online Community. Social Sciences, 5(4), 55. https://doi.org/10.3390/socsci5040055

Matias, J. N., Dasgupta, S., & Hill, B. M. (2016). Skill Progression in Scratch Revisited. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (pp. 1486–1490). New York, NY, USA: ACM. https://doi.org/10.1145/2858036.2858349

Dasgupta, S., Hale, W., Monroy-Hernández, A., & Hill, B. M. (2016). Remixing as a Pathway to Computational Thinking. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (pp. 1438–1449). New York, NY, USA: ACM. https://doi.org/10.1145/2818048.2819984

Dasgupta, S., Clements, S. M., idlbi, A. Y., Willis-Ford, C., & Resnick, M. (2015). Extending Scratch: New pathways into programming. In 2015 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) (pp. 165–169). https://doi.org/10.1109/VLHCC.2015.7357212

Dasgupta, S., & Resnick, M. (2014). Engaging Novices in Programming, Experimenting, and Learning with Data. ACM Inroads, 5(4), 72–75. https://doi.org/10.1145/2684721.2684737

Dasgupta, S. (2013). Surveys, collaborative art and virtual currencies: Children programming with online data. International Journal of Child-Computer Interaction, 1(3–4), 88–98. https://doi.org/10.1016/j.ijcci.2014.02.003

Dasgupta, S. (2013). From Surveys to Collaborative Art: Enabling Children to Program with Online Data. In Proceedings of the 12th International Conference on Interaction Design and Children (pp. 28–35). New York, NY, USA: ACM. https://doi.org/10.1145/2485760.2485784

Yao, L., Dasgupta, S., Cheng, N., Spingarn-Koff, J., Rudakevych, O., & Ishii, H. (2011b). Rope Revolution: Tangible and Gestural Rope Interface for Collaborative Play. In Proceedings of the 8th International Conference on Advances in Computer Entertainment Technology (pp. 11:1–11:8). New York, NY, USA: ACM. https://doi.org/10.1145/2071423.2071437