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Human-Centered Computing

Our work in human-centered computing explores and enhances the ways in which people and communities engage with and experience technology. 

Our research considers the personal, educational, cultural, and ethical implications of innovation. Drawing upon techniques from human-computer interaction, learning sciences, sensing and more, we aim to maximize the potential benefits of technology while minimizing potential harms to individuals, groups and society.


Groups & Labs

People wearing AR-VR headsets pointing into the air

Graphics & Imaging Lab (GRAIL)

The work of the Graphics & Imaging Laboratory spans computer graphics, computer vision, generative AI, computational photography, virtual reality, animation and games.

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Social Futures Lab

Researchers in the Social Futures Lab are reimagining social and collaborative systems to empower people and improve society.


Allen School Faculty

Associate Professor

Assistant Professor

Associate Professor


Centers & Initiatives

The eScience Institute empowers researchers and students in all fields to answer fundamental questions through the use of large, complex, and noisy data. As the hub of data-intensive discovery on campus, we lead a community of innovators in the techniques, technologies, and best practices of data science and the fields that depend on them.

The interdisciplinary DUB group at the University of Washington advances research, collaboration and teaching related to the interaction between design, people, and technology.

Highlights


UW News

To help shed light over safety and security concerns with current AI systems, UW News spoke with researchers including professors Franziska Roesner and Noah A. Smith.

Allen School News

In the first installment of a new Q&A series exploring grand challenges in computing, Reinecke and Smith discuss how they and their colleagues aim to answer the question, “How do we design AI in a way that is transparent and equally beneficial to all?”

Allen School News

Allen School faculty recognized 2025 alumni Wei and Zhu for their outstanding doctoral dissertation research identifying new methods for tackling online harassment introducing more secure techniques for generating digital signatures, respectively.