As everyone’s lives and communities become increasingly data-mediated and data-driven, it is important for more voices to be heard in imagining and shaping how, when, and if data gets collected and used. How can we engage young people in experiences that enable them not only to learn about data practices but also to question and critique them? In this talk, I will engage with this question by drawing on the past ten years of my work in designing systems and experiences that support the fostering of critical data literacies. I will articulate design principles that I have developed through my work of developing systems and experiences for learning with and about data, describe their origins and applications, and conclude with an overview of some of my current projects on this topic.
Note: This talk will not be recorded.
Sayamindu Dasgupta is an assistant professor at the University of Washington’s (UW) department of Human Centered Design and Engineering (HCDE). Before joining the UW faculty in 2022, he was an assistant professor at the School of Information and Library Science, UNC Chapel Hill. He received his PhD from MIT in 2016, where he was a member of the team behind the Scratch programming language and online community. From 2017-2018 he was an eScience Institute Moore/Sloan & WRF Innovation in Data Science Postdoctoral Fellow at UW, where he was hosted by the Department of Communication’s Community Data Science Collective and was also affiliated with HCDE’s Human-Centered Data Science Lab.