BYOD Application Form for Spring 2025

BYOD Application Form for Spring 2025

Applications for Spring 2025 are due Wednesday, April 9.

Please complete this application form to be considered for a BYOD Working Group. This form asks you questions about the project you intend to work on over the quarter. The application helps us determine if BYOD is a good fit for your project and goals.

This is the most writing you will ever need to do for BYOD!

Spring Quarter 2025

Weekly check-ins happen on Zoom. They begin during the week of April 14 and continue through the week of June 2.

Ideally, researchers should attend all 8 check-ins, but sometimes unexpected illness or other personal emergencies occur. Because we all know that unexpected absences might occur, please do not apply to join a Working Group if you already know you will have to miss more than one check-in due to an expected absence.

Thank you for your interest, and please contact emilio@northwestern.edu with questions.

NetID*

Name*

Email*

Role*

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School*

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Department*

Which group or groups are you applying for?*

You may select multiple groups. If your application is selected to participate in a BYOD group, you will only be assigned to one of your selected groups. We will try to group participants working on similar projects.

Select

Which programming language(s) and/or tool(s) will you be primarily working with for your BYOD project?*

This question helps our team prepare for a variety of skills. Please note that BYOD is not the right place for researchers who are looking to learn a new coding language and do not have a research project underway. If you are looking to learn, you can contact us for a list of recommended learning resources and upcoming workshops.

State your research question/task in 25 words or less.*

Example answer: Can we predict patient COVID19 prognosis based on their clinical health records data?

Describe your 8-week BYOD project plan in 200 words or less.*

Example answer: Electronic Health Records (EHR) are a rich source of patient information. However, such data are often complicated to extract and require rigorous cleaning in order to be useful. I plan to test if EHR data of hospitalized COVID19 patients can be used to predict whether patients recover or progress further into diseased states. I will first use a selected set of patients with known outcomes as my training set. I will then develop data cleaning and feature-engineering methods for this set. Once the data is ready for use, I will train different models to map patient outcomes to clinical vitals. I will look at model accuracy to determine which model(s) to choose. I will also determine the feature importances for each model to understand which patient features are most predictive of their outcomes.

What dataset(s) will you be using, and will you have access to the data before starting BYOD?*

Example answer: I will be using patient EHR data from the COVID19 study consortium that I already have access to.

What are you hoping to gain from participating in BYOD?*

Is there anything else we need to know about you or your project?

Send me a copy of my responses

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