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Call for Proposals: UW eScience Institute Data Science Incubation Program

Posted: 10/10/2018 (Conference)

The UW eScience Institute is pleased to announce the Data Science Incubation Program, for the Winter Quarter 2019.

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.  Our 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.

We invite short proposals (1-2 pages) for one-quarter data-intensive research projects focusing on extracting insight from large, noisy, or heterogeneous datasets.

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.

Each project must include a project lead who is willing to physically co-locate with the incubator staff. We find that collaboration in a shared space is important for deeper technical engagement and provides opportunities for “cross-pollination” among multiple concurrent projects. The Incubator operates on Tuesdays and Thursdays out of the WRF Data Science Studio (6th floor of the Physics/Astronomy Tower). The project lead should plan to work in the Studio for several hours on these days.

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 “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 as well as general software engineering.

For more information including how to apply, see our Incubator Program page.

Important Dates for the Winter 2019 Incubator

October 25th: Information meeting 1-2 PM. Location: WRF Data Science Studio, 6th floor Physics/Astronomy Tower.

November 9th: Applications due EOD.

December 3rd: Notification or proposal selections.

January 8th: Kickoff meeting. Location: WRF Data Science Studio.

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Deadline: 11/09/2018

Location: Data Science Incubation Program