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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

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.

A person with long blond hair, with only mouth and chin visible, is lying on a blue quilted blanket on short green grass in dappled sunlight. The person is wearing a black sweatshirt and propped up on their elbows, viewing a smartphone held in their well-manicured hands.

Behavioral Data Science Group

The Behavioral Data Science Group leverages large-scale behavioral data to extract actionable insights about our lives, health and happiness by combining techniques from data science, social network analysis, and natural language processing.


Allen School Faculty

Associate Professor

Assistant Teaching Professor


Centers & Initiatives

The Community-Engaged Computing Initiative (CECI) is a joint initiative to support community-centered scholarship and research within the broad computing and information field. Co-led by the Paul G. Allen School of Computer Science & Engineering, the Department of Human Centered Design & Engineering, and the Information School, the initiative was launched in 2025 through a gift from Google. CECI supports projects that bring UW faculty and graduate students together with community partners to bring sustainable, equitable, and inclusive technology into real-world contexts.

DFab is a network of researchers, educators, industry partners, and community members advancing the field of digital fabrication at UW and in the greater Seattle region.

Highlights


HearingTracker

A technology known as semantic hearing developed in Allen School professor Shyam Gollakota’s lab could let users create acoustic bubbles, isolate chosen voices, and control individual sounds in their environment.

Fast Company

Allen School professor Jon Froehlich talks about how Project Sidewalk empowers communities by crowdsourcing data on pedestrian infrastructure, from curb ramps to broken pavement, to improve accessibility.

UW News

Professors David Kohlbrenner and Franziska Roesner (Ph.D., ‘14) of the Allen School’s Privacy & Security Research Lab found that browser agents are susceptible to cyberattacks by violating the same-origin policy, a cornerstone of modern web security that has safeguarded users for 30 years.