The proposal studio virtual learning experience (vLE) concept is newly launching in spring 2021, with the goal of assisting Duke investigators with proposal development in health data science, and in sharing experiences with the broader Duke community. The series is co-hosted by Duke AI Health and the Duke+Data Science (+DS) program.
In each one-hour vLE, small teams of Duke investigators will discuss their proposal concepts with data science experts. Attendees will learn more about relevant analysis methods. But more broadly, attendees will also be introduced to approaches for early-stage concept ideation and refinement processes for health data science projects, as well as how to approach proposal development and submission for external funding agencies.
Anyone in the Duke community is welcome to attend, and we especially encourage Duke early-stage investigators, postdocs, and trainees to join us. Learn more at https://plus.datascience.duke.edu/learn-ds.
Proposal Studio on Structured Data Analyses, Part 1
Monday, March 29 | 11:00 AM – 12:00 PM
Proposal concepts will include traumatic brain injury in Tanzania, claims analysis for Ghana/Nigeria, and hip fracture readmissions, hosted by Matt Engelhard, Ben Goldstein, and Michael Pencina. Register at https://training.oit.duke.edu/enroll/common/show/21/175410
Proposal Studio on -Omics Analyses
Monday, April 5 | 11:00 AM – 12:00 PM
Proposal concepts will include genomic analysis related to sickle cell anemia, lifestyle intervention adherence, and transplant optimization, hosted by David Page, Svati Shah, and Michael Pencina. Register at https://training.oit.duke.edu/enroll/common/show/21/175408
Proposal Studio on Novel Data Sources and Platform Development
Wednesday, April 7 | 1:00-2:00 PM
Proposal concepts will include a repository for global injury, cardiovascular risk in pregnancy, and inpatient hypoglycemia, hosted by Ricardo Henao and Michael Pencina. Register at https://training.oit.duke.edu/enroll/common/show/21/175411
Proposal Studio on Structured Data Analyses, Part 2
Wednesday, April 21 | 12:00 – 1:00 PM
Proposal concepts will include AI-based pulmonary function testing, sickle cell severity, long-term follow up for diabetic retinopathy, and ovarian cancer care recommender, hosted by Samuel Berchuck and Michael Pencina. Register at https://training.oit.duke.edu/enroll/common/show/21/175412