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
Animation Research Labs (ARL)
The interdisciplinary ARL advances the state of the art in animation through research, teaching, and computer-animated production.
Tsvetshop
Tsvetshop researchers aim to develop practical solutions to natural language processing problems that combine sophisticated learning and modeling methods with insights into human languages and the people who speak them.
Faculty Members
Centers & Initiatives
Computing for the Environment (CS4Env) at the University of Washington supports novel collaborations across the broad fields of environmental sciences and computer science & engineering. The initiative engages environmental scientists and engineers, computer scientists and engineers, and data scientists in using advanced technologies, methodologies and computing resources to accelerate research that addresses pressing societal challenges related to climate change, pollution, biodiversity and more.
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.
Highlights
Allen School News
To help Reddit moderators make data-driven decisions on what rules are best for their community, a team of researchers in the Allen School’s Behavioral Data Science Group and Social Futures Lab conducted the largest-to-date analysis of over 67,000 Reddit rules and their evolution.
IEEE Spectrum
Companies are pouring billions into developing humanoid robots. In an op-ed, Allen School professor Maya Cakmak considers the results of a survey exploring whether people would welcome such robots — and looks forward to taking one for a spin (for science).
Allen School News
In 2011, a team of researchers that included Allen School professor and alum Franziska Roesner published a paper detailing how they could remotely take control of a car. Their work, which inspired new motor vehicle security standards, received the USENIX Test of Time Award.