Amazon is pleased to announce that AWS has created our first targeted grant program and has opened a call for proposals. On Tuesday, July 29, 2014, we were invited to the White House to announce the Amazon Climate Research Grants which will provide 50 million core hours of compute via EC2 Spot to researchers exploring climate change.

The call is open through the end of August and awardees announced in early September. Grants will be valid through September 2015. We are hoping to showcase early progress at our re:Invent conference in November, 2014.





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. 

We are happy to announce the next round of applications for graduate fellowships through the UW Big Data IGERT (see below for application process). The founding departments - astronomy, chemical engineering, computer science & engineering, genome sciences, oceanography, and statistics – have all developed Big Data tracks that enable students to participate in the IGERT program and count IGERT courses toward their degrees.

Key upcoming dates are an information session on May 12th and the application deadline on July 15th.


The University of Washington IGERT Program in Big Data / Data Science is announcing the next round of applications for fellowships starting Fall 2014.  The Big Data IGERT is a highly selective 2-year Fellowship for PhD students interested in research in Big Data.


  • May 12th 2014 (9:45am-10:30am): Information session for faculty and students interested in the IGERT program. Location TBD.   This event has passed.  We will be scheduling another info session closer to the application deadline - watch this page for updates.  See the session slides here.
  • July 15th 2014: Application deadline
  • September 1st 2014: Notification


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.
Shared high performance computing hosted by the University of Washington.
Learn how the structured query language and SQLShare can help your research.