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

How are tsunamis, wage theft, digital futurism, healthcare costs and academic test scores connected?  Find out TODAY, 4:00-6:30 pm at Scholars’ Studio: Predictions Research @the Commons in the Research Commons Presentation Place (Allen South Library, ground floor).

Hosted by the UW Libraries Research Commons and The Graduate School, the Scholars' Studio held in April gave students the opportunity to share their research across disciplines, make connections and build presentation skills. A reception, sponsored by the UW eScience Institute, followed the talks.

Scholars’ Studio is a fun, informal event that features 10 rapid-fire ignite-style presentations (5 minutes each) given by graduate students and postdocs doing research on topics related to an interdisciplinary theme.  This quarter, our theme is “Predictions.”

This event was an excellent opportunity to learn about current research on campus, provide graduate students valuable feedback on their presentation ability, snack and enjoy the company of colleagues!

Following the talks, a reception co-sponsored by the UW eScience Institute provided an opportunity to talk with the students and learn more about their work.

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.

APPLICATIONS FOR FALL 2014

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.

IMPORTANT DATES:

  • 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.

 

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