Douglas Zytko

Douglas Zytko

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My research explores consent in various facets of social computing and human-computer interaction. Most germane to MIDAS would be research into consent to personal data donation for AI model training, and more broadly approaches for participatory AI that directly involve AI-novice stakeholders in design and development of new AI-driven technologies.

Xu Wang

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My research is to support more people learn in effective ways. I draw techniques and theories from Human-Computer Interaction, Learning Sciences, and Artificial Intelligence to develop computational methods and systems to support scalable teaching and learning. There are several directions in my research that draw on data science techniques and also contribute to interdisciplinary data science research, 1) data-driven authoring techniques of intelligent tutoring systems, with application domains in UX education and data science education 2) AI-augmented instructional design and the use Human-AI collaborative techniques in instructional design.

View MIDAS Faculty Research Pitch, Fall 2021

Sarita Schoenebeck

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My work lies at the intersection of human-computer interaction, social computing, social media. I direct the Living Online Lab, where we study and design online technologies that address vital societal issues including justice, equity, harassment, privacy, and dark patterns.