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*New* Call for Proposals: 2024 Data Science Incubator Program (Due 11/14/23)

Posted: 10/2/2023 ()

The UW eScience Institute invites short proposals (1-2 pages) for a remote one-quarter data-intensive research collaboration focusing on extracting insight from large, noisy, and/or heterogeneous datasets. The goal of the Data Science Incubator is to enable new science by bringing together data scientists and domain scientists to work on focused, intensive, collaborative projects. Their team of data scientists provides expertise in state-of-the-art technology and methods in statistics and machine learning, data manipulation and analytics at all scales, cloud and cluster computing, software design and engineering, visualization, and other topics. An information session will be held on Nov. 6th in-person and on Zoom. Learn more here.

The program is open to any faculty, postdoc, staff, or student whose research can be significantly advanced by intensive collaboration with a data science expert. To apply, we require a short project proposal describing the science goals, the relevant datasets, and the expected technical challenges.  The ideal proposal will clearly identify both the datasets involved and the questions to be answered, and will explain how the technical component of the project is critical to delivering exciting new findings. This year we are happy to announce the availability of cloud resources to support the incubator projects and we welcome applications that wish to use cloud computing.

Each project must include a project lead who is willing to work with the incubator staff for the equivalent of 16 hours a week, including attending a weekly meeting with all the project teams. We find that collaboration in shared virtual or physical spaces is important for deeper technical engagement and provides opportunities for “cross-pollination” among multiple concurrent projects. We anticipate that we will continue to support both remote and in-person participation in the Incubator program. On the proposal form you will be asked your preference for working fully remote, hybrid, or in-person. Preference will not impact project selection.
Incubator projects are not “for-hire” software jobs — the project lead will work in collaboration with the data scientists and the broader eScience community. Each project lead will be responsible for successful project completion, with the eScience team providing guidance on methods, technologies, and best practices as well as general software engineering. Data scientists often make substantial contributions to Incubator projects. We expect that the work of data scientists and the role of the eScience Institute Incubator program will be properly attributed in any related talks, publications, software releases, etc.

How to Get Started

We will be holding two informational meetings, see RSVP links below. We also strongly recommend that anyone planning to submit a project for an Incubator consult with one of our Data Scientists during their Office Hours for guidance: https://escience.washington.edu/using-data-science/office-hours/

Important Dates for the Winter 2024 Incubator:

  • October 27th: Information meeting. Time: 9:00 -10:00 p.m. PT. via Zoom.

  • November 6th: Information meeting. Time: 1:00 – 2:00 p.m PT. in-person in the WRF Data Science Studio or via Zoom.

    • Info sessions slides will be posted following the sessions.
  • DEADLINE November 14th: Proposals due by 11:59 p.m. PT.
  • December 12th: Notification of proposal selections.
  • January 4th: Kickoff meeting.

  • The Incubator will run January 4th – March 8th, 2024.

For full program information including proposal details, selection criteria, and links to previous projects visit, https://escience.washington.edu/using-data-science/incubator/.
For questions about the incubator program please contact Bryna Hazelton at brynah@uw.edu.

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Deadline: 11/14/2023