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The eScience Welcome Event on Tuesday September 23rd drew people from across campus to welcome new members of the eScience community.

The event featured talks by eScience ​​Director Ed Lazowska and Education Director Magda Balazinska, as well as incoming Moore/Sloan WRF postdocs and IGERT Big Data/Data Science graduate students.

Learn more



The first Astro Hack Week took place from September 15-19, 2014 at University of Washington. We had about 45 attendees through the week. We spent the mornings together learning new coding, statistics, and data analysis skills, and spent the afternoons working in pairs and groups on a wide variety of projects. These projects spanned a range of topics, and comprised everything from short exercises to development of teaching materials to full-blown research projects which will likely lead to publications!

Along with these hacks, the afternoons were also punctuated by informal breakout sessions on everything from using Git to constructing Probabilistic Graphical Models. Thanks to all the participants who stepped up to lead these breakouts and share their expertise with others!

(Photo by Adrian Price-Whelan)


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):

  • Sep 8: 1-hour information session, 11:00 am - 12:00 pm, Paul Allen Center, 403.
  • Sep 18: 1-page proposals due
  • Sep 24: Notification
  • Sep 29: Kickoff meeting

Each project will involve one or more project leads who will come and join us in the Data Science Studio on Tuesdays and Thursdays during Fall quarter.

Each project lead will "own" their project (and its results) and be responsible for its successful completion, with the eScience team providing guidance on methods, technologies, and best practices in extracting knowledge from large, noisy, and/or heterogeneous datasets as well as general software engineering.

In reviewing the proposals, we will be looking for high-risk, high-reward science that this program can help push in a new direction. In addition, we hope to select a set of projects with shared requirements; we find that participants are most successful when they interact with each other as well as with our group.

More information, including instructions on how to submit project proposals, is available on the incubator website:



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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.



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