Data Science and AI Accelerator Proposal

Proposals will be accepted on a rolling basis and will be reviewed quarterly. For a project to be considered for the following quarter, proposals must be submitted by the following deadlines:

Proposals to start in Summer 2025 must be received by April 27, 2025 at 11:59 p.m.

Project Title*

Contact Info:

The Project Lead is the student, postdoc, staff, or faculty who will be responsible for executing the project and who will be expected to spend the amount of time mutually agreed upon per week working with an eScience collaborator.

Name of Project Lead*

First NameLast Name

Project Lead's home department*

Project Lead's UW title (masters student, PhD student, postdoc, staff, faculty, etc)*

Project Lead's email address*

Names, titles, and affiliations of other project participants who will be working on this project, if any.

Preferred Collaboration Features:

A key feature of the Accelerator program is the ability of the project lead to indicate their preferred duration and intensity for the proposed project work. For accepted projects, the project lead and the data scientist collaborator will iterate on and finalize these expectations. We anticipate that we will support in-person, hybrid, and fully remote participation in the Accelerator program.

Before you move on with this application, please spend some time thinking about your preferred format for engaging in this collaboration. Take into consideration the needs of the project, your work style, and the time you have to spend on this work in the upcoming quarter.

Accelerator projects are intended to be collaborations between you and an eScience data scientist. You 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. We expect that you will be investing a significant amount of time in the project beyond the time you spend directly collaborating with the data scientist.

Given my current understanding of the proposed work and my availability to work on this project, I would prefer spend the following amount of time on this project:*

1 month1 quarter2 quarters

On average, I would prefer to spend the following number of hours per week meeting directly with a data scientist.*

8 hours per week4 hours per week2 hours per week1 hour per week

Please indicated your preferred start date for this project. Proposals submitted by the deadlines indicated at the top of this form will be considered for start dates the following quarter.*

At this time I am primarily interested in:*

An in-person programA hybrid program, i.e. a mix of remote and in-person workA remote program

Please use this space, as desired, to elaborate on your preferences regarding the timing, format, and intensity of the proposed Accelerator.

Project Info:

If your proposal requires access to data, tell us about the datasets.

Example: "We have survey responses from a WebQ survey of 25,000 participants. The survey contained 40 multiple choice questions covering respondents' demographic information and dailymodes of transportation. Each participants' response is stored as 1 row per participant in an Excelspreadsheet, which is about 1 MB in size."

Example: "We have underway flow cytometry data from thirty cruises in the northeast Pacific Ocean. For each cruise, we have a collection of binary files that each contain raw measurement data in acustom format. Each file is about 5 MB and contains spectroscopic measurements of about 100,000particles with 8 variables measured for each particle; we have about 5,000 files per cruise for a total of about 100 GB of data."

Describe what is measured, the formats or file types currently used to store the data, and the approximate size of the data (e.g. 100 MB, 20 GB, 3 TB).*

If your proposal does not require access to data, enter not applicable.

What is the current location of the data? (check all that apply if the data must be assembled from multiple sources)*

My laptop or personal computerLocal lab or department serverA lab or department server at another institutionPublicly accessible repositoryOn a cloud service (e.g. AWS, Azure, Google Cloud)Other

Who has access to the data currently? (PL = Project Lead)*

The PL has direct access to all relevant dataThe PL's colleagues have access to the data, but the PL cannot access the data directlyThe data are publicly availableOther

Are the data encumbered by license restrictions, IRB, FERPA, ITAR, or other legal restrictions? If so, please describe.*

If necessary, is it permissible to copy or move the data to eScience resources, potentially including secure cloud resources? (Ignore technical constraints such as size and cost -- just consider legal or social restrictions.)*

YesNoOther

Submit a 1-2 page summary of the project and objectives. Click the upload button below to upload a pdf file. Please include relevant references - these will not be counted against the page total.*

Browse Files

Which parts of the project require data science and/or AI expertise beyond your team's capacity or knowledge base?*

What language(s), tool(s) or method(s) have you used so far for the development of this project? What languages, tools or methods do you hope to use during the Accelerator?*

How would this Accelerator project fit into your broader research portfolio?*

If your project is successful how do you plan to use the results after the completion of the program? Include specific deliverables that will be produced if the project is successful such as papers, software, datasets, teaching materials, blog posts, visualizations, etc. and how they might affect future research. As a reminder, we expect that the work of data scientists and the role of the eScience Institute Accelerator program will be properly attributed.*

Questions or Comments?

Contact eScience Research Scientist Bryna Hazelton at brynah@uw.edu.