University of Washington's eScience Institute will be running the third offering of its Data Science Incubation Program this summer, the focus of which will be Data Science for Social Good.

We invite short proposals (1-2 pages) for 10-week exploratory data-intensive science project requiring collaboration in scalable data management, scalable machine learning, open source software development, cloud and cluster computing, and/or visualization.

We are trying a new experiment this session: We are inviting proposals that have an applied social good dimension and converge around the theme of Urban Science and Analytics. This incubator session is modeled after similar programs at the University of Chicago and Georgia Tech. The successful projects on those websites may be useful as inspiration.

The goal is to provide greater opportunity for interaction and collaboration between the participants in the program by attracting participants with overlapping interests while still allowing for interdisciplinary breadth.

As always, we accept proposals in any area, but we hope to solicit proposals from researchers working broadly in sociology, education, policy, information, and politics in an urban context.  We welcome proposals submitted by academic researchers, public agencies, non-profit entities, and companies with focus on policy-relevant projects.

This incubator session is sponsored in part by a grant from the MacArthur Foundation and an emerging campus-wide initiative at UW called Urban@UW (details to follow).

Important dates:

  • Apr 21: 1-hour information session, 10:00 am - 11:00 am, Data Science Studio
  • May 4: Applications due
  • May 18: Notification
  • Jun 15: 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 the summer from June 15th to August 21st.

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 addition to working closely with eScience mentors, each project lead will work with a team of four students assigned to assist with their project. These students will be selected, paid, and supervised by the eScience Institute. The project team may also include external mentors and stakeholders.

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.

A link to the application can be found here: https://catalyst.uw.edu/webq/survey/billhowe/263056


The University of Washington's eScience Institute is pleased to welcome the following WRF and Moore/Sloan Postdoctoral Fellows for 2015. More information on each Fellow can be found here.

Alexander Franks

Jes Ford

Michael Fire

Sophie Clayton

Tsuyoshi Kuniham

Xiaofeng Meng


Please join us in welcoming the following new staff members to the University of Washington's eScience Institute. More information on each can be found on our staff page.

Andrew Gartland
Research Scientist

Ariel Rokem
Data Scientist

Bryna Hzelton
Research Scientist

Craig Young
Digital Strategist

Karla Danson
Program Coordinator

Valentina Staneva
Data Scientist


from UW CSE News:

The Gordon and Betty Moore Foundation joined last year with the Alfred P. Sloan Foundation in a process that ultimately selected the University of Washington, UC Berkeley, and New York University as partners in a 5-year, $38.7 million collaborative effort to advance data-intensive discovery. 

The Moore Foundation has just announced the results of a subsequent competition to identify leading individual researchers as “Data-Driven Discovery Investigators,” funded at $1.5 million each. From an original field of more than 1,000 pre-proposals, roughly 100 researchers were invited to submit full proposals. 28 of these were invited to participate in a workshop, after which 14 were selected as recipients of $1.5 million Moore Foundation Data-Driven Discovery Investigator Awards – including UW CSE professor Jeff Heer.



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