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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

Laptop displaying glowing purple light onscreen in darkened room

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.

A group of four students erect community broadband networking apparatus on a rooftop

Information and Communication Technology for Development (ICTD) Lab

The ICTD Lab explores how technology can improve the lives of underserved populations in low-income regions through research spanning HCI, systems, communication and data analytics.


Faculty Members

Faculty

Faculty

Faculty


Centers & Initiatives

TCAT harnesses the power of open-source technology to develop, translate, and deploy accessible technologies, and then sustain them in the hands of communities. Housed by the Paul G. Allen School for Computer Science & Engineering, TCAT centers the experience of people with disabilities as a lens for improving design & engineering, through participatory design practices, tooling and capacity building.

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.

Highlights


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.

Allen School News

As part of this year’s cohort in the Outstanding Undergraduate Researcher Awards, the Computing Research Association (CRA) recognized four Allen School undergraduates — awardee Haoquan Fang, finalist Hao Xu and honorable mention recipients Kaiyuan Liu and Lindsey Wei.

Allen School News

The Institute of Electrical and Electronics Engineers (IEEE) recognized Kemelmacher-Shlizerman for her “contributions to face, body, and clothing modeling from large image collections,” including pioneering virtual try-on tools and bringing the technology to the mainstream.