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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

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Animation Research Labs (ARL)

The interdisciplinary ARL advances the state of the art in animation through research, teaching, and computer-animated production.

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Makeability Lab

The Makeability Lab specializes in Human-Computer Interaction and applied machine learning for high-impact problems in accessibility, computational urban science, and augmented reality.


Faculty Members

Faculty


Centers & Initiatives

The Institute for Medical Data Science (IMDS) is a joint effort among the Schools of Medicine and Public Health and the College of Engineering, including the Allen School to lead the development and implementation of cutting-edge AI and data science methods in medical data science. By harnessing the power of AI across diverse health determinants, IMDS aims to improve patient health, provider satisfaction, and healthcare operations, particularly in the Pacific Northwest region.

Globe.AI is a multidisciplinary community of researchers at the University of Washington who aim to create equitable, responsive AI technologies that can adapt to individuals from diverse cultures and communities, including to different norms, languages, behaviors, and communication styles.

Highlights


GeekWire

Allen School undergraduate Prisha Hemani and teammates won the grand prize in the 2026 Hollomon Health Challenge for CPRight, a real-time CPR feedback device. The annual competition is hosted by the UW’s Buerk Center for Entrepreneurship in the Foster School of Business.

UW Graduate School

Jain will pursue a Master’s of Philosophy in English at Cambridge University to complement his Allen School research focused on designing computational tools for digital archival collections that better reflect the needs and values of the communities they serve.

UW News

A team led by UW researchers created a system that uses a phone’s existing speaker and microphone to accurately estimate fetal heart rate by mimicking Doppler ultrasound.