The Duke+Data Science (+DS) program invites Duke students to apply for the +DS summer 2021 research program.
This competitive program is designed to allow students who have previously completed the +DS curriculum to continue their engagement with substantive applied projects. The +DS Advanced Machine Learning Projects in Health Data Science offer Duke students, both undergraduate and graduate, the opportunity to be a part of research teams applying advanced machine learning (deep learning) to important areas of medicine. The students will work in teams, mentored by leading Duke faculty involved in data science research, with guidance by practicing clinicians. The summer will culminate in a showcase session where student teams will present their results.
The +DS summer research program in 2021 will be a 10-week full-time learning experience held from June 1 through August 6. The program will be held as a virtual format. We also plan to offer an optional in-person component for students who will be in Durham, adhering to appropriate COVID-19 testing and safety measures.
Summer activities will include weekly project meetings, group sessions, a machine learning journal club, and clinics around specific topics such as dissemination and coding. Students accepted into the program will also attend the Duke Machine Learning Virtual Summer School during the week of June 14-17 (https://plus.datascience.duke.edu/mlvss2021).
Participants will receive a $5,000 stipend, out of which they must arrange their own housing and travel (if applicable).
Target Student Population
The program is designed to allow students who have previously completed the +DS curriculum to continue their engagement with substantive applied projects. Students are eligible to apply if they have previously completed the +DS class (POE 190.01/790.01; EGR 190.06/590.06, or the 2018-2019 projects in medicine). Students will be selected for participation informed by their prior performance with +DS.
In some circumstances, prior background or coursework in machine learning methods may be substituted for the prerequisites.
How to Apply
To apply for the +DS summer 2021 research program, please email the following items to firstname.lastname@example.org:
- A current resume or CV
- In the body of the e-mail, the following information:
- Your name
- Your degree program and expected graduation date
- How have you previously completed the +DS curriculum?
- Please specify POE 190.01/790.01; EGR 190.06/590.06, or the 2018-2019 projects in medicine
- If you have not previously completed the +DS curriculum, please describe your prior background or coursework in machine learning methods
- Do you have any particular areas of interest for the summer?
- For example, interests might include medical imaging, natural language processing, natural language understanding, AI and creativity, EHR-based data prediction, -omics, bias in AI
- A brief statement of why you are interested in this program
- Do you anticipate being able to commit to a full-time engagement for the full duration of the program?
- Please describe any other commitments, conflicts, or scheduling limitations
- Do you anticipate being able to set up an effective remote environment?
- Are you interested in the option to participate in person?
Applications are due on Monday, April 26, 2021 by 10:00 PM. Please include “+DS Summer 2021 Research Program” in the subject line of your e-mail.
About the +DS Advanced Project Program
Since 2019, the Duke+DataScience (+DS) program has supported 71 students in hands-on experience through advanced projects. Many students engage with +DS projects over more than one semester through both departmentally-sponsored independent studies and summer experiences.
To learn more about the +DS experience:
- Student Spotlight with Harshavardhan Srijay (summer 2020 virtual experience): https://plus.datascience.duke.edu/2021-harsha-srijay-amia
- Student Spotlight with Meredith Brown (Summer 2019 experience): https://computationalthinking.duke.edu/2020/10/19/solving-real-world-issues-with-data-science/
To learn more about +DS, please visit https://plus.datascience.duke.edu/