Research Areas

Social Computing and Socio-technical Systems

Socio-technical systems are all around us as the environment in which we generate information about ourselves, share that information, and use digital goods and services. These systems have dramatically changed the way we interact with each other, engage in commerce, and share knowledge. They create a new opportunity to understand social systems and human nature at unprecedented scale, which is at the heart of research conducted in this area. 

Research Highlights

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SCI Faculty Member Finds How Politicians Sharing Harmful Information Are Rewarded Online

Dr. Yu-Ru Lin, a professor at SCI, conducted a study on how U.S. state legislators can increase or decrease their public visibility during times of high political tension through sharing harmful content (unverified claims or uncivil language). 

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SCI Researcher’s Innovative Work Supported by Microsoft AI Economy Institute

Morgan Frank, an assistant professor at SCI, has recently been awarded a prestigious $80k fellowship from Microsoft’s newly launched AI Economy Institute to study how AI impacts education and the workforce.

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Peter Brusilovsky receives NSF grant to develop a learning system for computer science education

Dr. Peter Brusilovsky (Director, Intelligent Systems Program) received a National Science Foundation (NSF) grant for his project "C-3PE: Comprehensive Personalized Programming Practice Environment."

Affiliated Faculty
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Peter Brusilovsky, Professor

Dr. Brusilovsky's research interests include Social Web, user modeling, adaptive information systems, intelligent tutoring systems, e-learning, and human-computer interaction.

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Frances Corry, Assistant Professor

Dr. Corry’s research employs critical and historical approaches to socio-technical systems, emphasizing the prehistories and afterlives of data-intensive systems, from social media platforms to machine learning models.

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James (Kip) Currier, Assistant Professor

Dr. Currier's research interests include AI, technology ethics, intellectual property (with a focus on copyright and fair use); open movements; and management and leadership.

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Morgan Frank, Assistant Professor

Dr. Frank is interested in the complexity of AI, the future of work, and the socio-economic consequences of technological change. His recent research examines how genotypic skill-level processes around AI impact individuals and society.

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Aakash Gautam, Assistant Professor

Dr. Gautam's research lies at the intersection of human-computer interaction, learning sciences, and community development. 

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Yu-Ru Lin, Professor

Dr. Lin is interested in studying social and political networks as well as ways to understand network data through computation and visualization.

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Angela Stewart, Assistant Professor

Dr. Stewart conducts research at the intersection of the learning sciences, artificial intelligence, and human-computer interaction. She uses multimodal data to understand students' social and cognitive states, particularly in collaborative STEM learning. 

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Lingfei Wu, Assistant Professor

Dr. Wu's research advances the Science of Science, integrating large-scale data, complex networks, and machine learning to understand how innovation emerges, how teams organize, and how science transforms society. 

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Michael Yoder, Teaching Assistant Professor

Dr. Yoder’s teaching and research background is in natural language processing and computational social science, with applications in countering hate and extremism online.