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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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Interactive Data Lab

The Interactive Data Lab aims to enhance people’s ability to understand and communicate data through the design of new interactive systems for data visualization and analysis.

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Security and Privacy Research Lab

The Security and Privacy Research Lab works on a variety of topics, ranging from studying and addressing security and privacy risks in existing technologies, to anticipating future risks in emerging technologies.


Allen School Faculty

Assistant Professor

Associate Professor

Professor

Professor


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.

Change is a cross-campus collaboration that explores the challenges of developing technology in the context of positive social change. It seeks to make connections between researchers, outside organizations, and the public to inspire the development of new capabilities aligned with the interests of those most in need.

Highlights


Allen School News

Professor Magda Balazinska was honored for her influential contributions in data management and data science, while Professor Shwetak Patel was recognized for his groundbreaking work applying computing to health and sustainability.

Allen School News

Multiple Allen School authors received Best Paper Awards or honorable mentions for their work on interactive systems that enable more flexible human-AI agent collaboration, an AI-based tool that helps screen-reader users make sense of geovisualizations, and more.

UW News

The web app, which was developed by researchers in the Allen School’s Makeability Lab, enables users in Seattle to map their ride based on factors such as bike lanes, speed limits, pavement quality, and more.