The University of Washington and the Seattle region have emerged as leaders in the burgeoning field of data science. As every field becomes more data-driven, the Allen School is at the forefront of novel data management techniques and visualization tools to fuel a new wave of scientific discovery and industry breakthroughs.
The Allen School's Database Group aims to broaden the focus of database and data management techniques beyond their traditional scope. Our researchers conduct both theoretical and systems research in big data management, cloud computing, data pricing, probabilistic databases, stream processing, sensor-based monitoring, databases and the web, XML, data management for ubiquitous computing, data integration, and data mining. The group frequently works with colleagues in Artificial Intelligence, Systems, and Ubiquitous Computing, as well as researchers in other disciplines across the campus.
To keep up with the latest news, follow the UW DB group on Twitter
The Allen School's Interactive Data Lab focuses on enhancing people's ability to understand and communicate data. Our researchers develop new, interactive systems for data visualization and analysis in order to improve the efficiency and scale at which experts work, and to lower barriers for non-experts to make the most effective use of their data. Ongoing projects include the development of new languages, scalable systems and design tools for interactive visualization. and visual analysis systems for domains ranging from large-scale text analysis to population genomics. Connect with the IDL on Twitter.
For more information on our data science research and expertise, read about the Allen School's campus-wide leadership in data science and the activities of the eScience Institute.
- Draco, a constraint-based model for formalizing principles of good visualization design, receives the Best Paper Award at InfoVis 2018.
- Ph.D. student Kanit Wongsuphasawat earns the Best Paper Award at IEEE VAST.
- Jeffrey Heer wins 2017 IEEE Visualization Technical Achievement Award for contributions to the “design, development, dissemination and popularization of languages for visualization."
- Jeffrey Heer recognized with Grace Murray Hopper Award from the Association for Computing Machinery for his work on visualization tools that have transformed how people interact with data.
- UW Interactive Data Lab's Vega-Lite earns Best Paper at InfoVis 2016.
- Professor Magda Balazinska and Ph.D. alum Luna Dong are honored for contributions to data management research at VLDB 2016.
- Ph.D. student Maaz Ahmad earns the inauguralBest Student Paper Award at SYNT 2016 for "Leveraging Parallel Data Processing Frameworks with Verified Lifting."