Analytics Accelerator Application Winter 2022
This application is due November 30, 2021. If you miss the submission deadline, please complete the application to be added to the waitlist.


Thank you for your interest in the Analytics Accelerator CME 217/BIODS 217!

We look forward to meeting you. Because this is a graduate level team-based course, the information you enter here will be used to create a diverse classroom and multidisciplinary project teams. If you are selected for the course, you will be placed on a team based on the information you submit below.

What is it like to take this course? Watch this student perspective video from Fall 2020:
https://stanford.box.com/s/6apeoacjktxn3bepztvlr9qfs1rn0egs

This is a project-based course requiring team work outside of class time in addition to weekly mentor meetings. Class sessions will include guest lectures, group exercises and expert feedback sessions. Data science/stats experience and Python will be helpful. We will combine data science, healthcare, and design thinking in this course.

It is our hope that through this course, you will learn to work with teammates from diverse disciplines on complex open ended problems and have a great time doing it!

Draft course syllabus (subject to change):
https://docs.google.com/document/d/1yDVH_OXuIxfNbrW6QddtdfoGp7wSkZHvOyzmWZ5HIiM/edit?usp=sharing

Winter 2022 Projects:
Institute for Disease Modeling at the Bill & Melinda Gates Foundation (Family Planning)
Institute for Disease Modeling at of the Bill & Melinda Gates Foundation (Disease Eradication)
Noora Health India (NLP for Patient Interactions)
Stanford Biomedical Data Science Department (ML in Genomics)
Stanford Biomedical Data Science Department (Integrative Single Cell Genomics)
Stanford Radiology Department (Medical Imaging)
Stanford Department of Medicine (COVID Lung Imaging)
Stanford Pediatrics (AI for Medical Pediatrics)
World Bank (Unexpected Health System Disruptions)

Project Descriptions/Video Pitches:
https://docs.google.com/document/d/106MOjQ98GaCMvckASfytZLxG68Tff30Ow5rciLikmuc/edit?usp=sharing

Winter 2022 Q&A:
https://docs.google.com/document/d/10bvrl1I2TEJtCkTheTZT0U5VDfbCV81Kq7GNi9StvGI/edit?usp=sharing

Information session November 15, 2021 slides: https://docs.google.com/presentation/d/1dHsvLJZEtmAqX8rVHa1rZqyhf87DT0OX/edit?usp=sharing&ouid=114709329091454894337&rtpof=true&sd=true

Please submit your application below if you are interested in joining the course. Contact the teaching team with questions: analytics-accelerator@lists.stanford.edu
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Email *
First Name *
Last Name *
Phone *
Department *
Degree Program and Year at Stanford (example: MS year 2). *
Gender (optional - this info will help us to form diverse teams)
Are you interested in CME 217 or BIODS 217? *
Have you previously taken CME 217/BIODS 217 (check all that apply)? There are no prerequisites for CME 217.
Do you have experience with the following (please check all that apply)?
150 word bio (this will be provided to mentors for team formation)
Take a few minutes to tells us who you are and where you come from. This is a way for us to get to know each other. Have fun with this exercise; feel free to include information about where you grew up, your family, things you like to do in your free time, your passions, etc...what makes you YOU?
Which of the projects most interest you? (This is not a formal commitment on your part. We will use this information to fill the teams for winter quarter.)
Clear selection
Which project is your second choice?
Clear selection
Which project is your third choice?
Clear selection
Why do you want to be in this course?
What skills and experiences do you hope to acquire?
Comments:
A copy of your responses will be emailed to the address you provided.
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