This Fall, the UW eScience Institute will be running the second offering of the Data Science Incubation Program.

We invite short proposals (1-2 pages) for 1-quarter exploratory data-intensive science projects requiring collaboration in scalable data management, scalable machine learning, open source software development, cloud and cluster computing, and/or visualization.

Important dates (see website for more details):

What's everyone talking about?

The answer awaits: Find out how the eScience Institute is promoting data science and helping to create pathways
for interdisciplinary careers. 


University of Washington Provost Ana Mari Cauce has allocated permanent funding to the eScience Institute to stimulate the hiring of faculty members who conduct cutting-edge research on methodologies for data-intensive discovery, and whose teaching and outreach will put advanced tools and techniques into the hands of UW’s broad base of outstanding researchers.

The Provost's Initiative in Data-Intensive Discovery is described in a concept document and an implementation document.

Faculty hired under the Initiative will be appointed in appropriate academic units, and will have partial teaching and outreach responsibilities to the eScience Institute, driving UW forward as a leader in developing and applying the techniques of data-driven discovery.

Recent hires by the Department of Computer Science & Engineering and the Department of Statistics, preceding the Initiative, exemplify the orientation and quality that UW seeks to expand: machine learning experts Emily Fox, Carlos Guestrin, and Ben Taskar, and data visualization expert Jeff Heer.


Every seat in the house was filled at the May 3 workshop!

The Community Data Science Workshops are a series of project-based workshops being held at the University of Washington for anyone interested in learning how to use programming and data science tools to ask and answer questions about online communities like Wikipedia, Twitter, free  and open source software, and civic media.

The workshops are for people with no previous programming experience. The goal is to bring together both researchers and academics as well as participants and leaders in online communities.  The workshops will all be free of charge. Participants from outside UW are encouraged to apply.

There will be three workshops held from 9am-4pm on three Saturdays in April and May. Each session will involve a period for lecture and technical demonstrations in the morning. This will be followed by a lunch graciously provided by the eScience Institute at UW.  The rest  of the day will be followed by group work on programming and data science projects supported by more experienced mentors.



Learn how the University of Washington is expanding data-intensive discovery.
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