The eScience Institute is located in the Washington Research Foundation Data Science Studio, on the 6th floor of the Physics/Astronomy Tower on the southwest corner of the University of Washington campus. The studio features a 360 degree view that includes some of Seattle’s iconic landmarks, and is open weekdays from 9am – 5pm when classes are in session. Hours may change during holiday breaks.

The WRF Data Science Studio is designed around the principle that innovative data science is advanced at universities through the creation of high quality physical spaces that successfully cultivate the “water cooler” effect, raise the level of prestige for data science and scientists, and are adaptable to a range of activities that can promote research collaborations and learning. The WRF Data Science Studio brings together eScience Data Scientists and researchers who reside in academic units spread across our large campus. Wih reconfigurable furniture and layouts, the space is designed for flexibility — providing our permanent data scientist staff space for individual quiet work and our broader community space for small group meetings, seminars, and hands-on training events.

Several eScience programs operate the WRF DSS, including:

  • Office Hours: Bring your data and your code and get some technical help in data management, predictive analytics, software engineering, or visualization.
  • Incubator: During Fall and Spring, we run a 10-week incubator program where you come and join us in the Studio two days a week to work on your data-intensive science project with help from our researchers.
  • Community Seminar: We have a weekly seminar on topics across science, methods and technology.
  • Workshops: We hold semi-regular workshops and public meetings in Data Science Education, Software, Reproducibility, and more. Check the website for dates, and join our mailing list.

We would like to thank the Washington Research Foundation in particular for making this wonderful space possible.  We are also grateful for support from the Gordon and Betty Moore Foundation and the Alfred P. Sloan Foundation.

WRF Data Science Studio