*Call for Proposals - UW eScience Institute's Incubation Program: Data
Science for Social Good *
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
http://escience.washington.edu/node/997.
We invite short proposals (1-2 pages) for 10-week 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.
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 http://dssg.io/projects/ and Georgia
Tech http://dssg-atl.io/projects/. 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
--
Brittany Fiore-Gartland, Ph.D.
Moore/Sloan Data Science Postdoctoral Fellow
Washington Research Foundation Innovation Postdoctoral Fellow
Human Centered Design Engineering | eScience Institute
University of Washington
@brittafiore | www.fioregartland.org http://www.fioresilfvast.org/
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