The R/Medicine conference provides a forum for sharing R based tools and approaches used to analyze and gain insights from health data. Conference workshops provide a way to learn and develop your R skills. Midweek demos allow you to try out new R packages and tools, and our hackathon provides an opportunity to learn how to develop new R tools. The conference talks share new packages, and successes in analyzing health, laboratory, and clinical data with R and Shiny with a vigorous ongoing discussion with speakers (with pre-recorded talks) in the chat.

Keynote Addresses

Stephanie Hicks

Statistical Challenges in Single-Cell and Spatial Transcriptomics

Thursday, June 13

Biography

Stephanie Hicks, PhD, MA and Associate Professor of Biomedical Engineering and Biostatistics at Johns Hopkins University, is an applied statistician working at the intersection of genomics and biomedical data science.

Gundula Bosch

Reproducibility in Medical Research

Friday, June 14

Biography

Gundula Bosch, PhD, MEd ’16, MS, is a scientist and educator leading global education reform through training programs in critical, broad, and interdisciplinary scientific thinking. She is the director of the R3 Center for Innovation and Science Education at the Johns Hopkins School of Public Health.

Call for Abstracts

R/Medicine is seeking abstracts for:

• Lightning talks (10 min, Thursday, June 13, or Friday, June 14) Can pre-record so that you can be live on chat to answer questions
• Regular talks (20 min, Thursday, June 13, or Friday, June 14) Can pre-record so that you can be live on chat to answer questions
• Demos (1 hour demo of an approach or a package, Wednesday, June 12) Done live, preferably interactive
• Workshops (2-3 hours per topic, Monday, June 10, or Tuesday June 11, usually with a website and a repo, participants can choose to code along. Usual 5-10 min breaks each hour.
• Posters for poster session on Wednesday, June 12. Can include live demos of an app or a package.

Confirmed Workshops (Monday, June 10, and Tues, June 11)

Note: Final dates and times TBD. More workshops being added. Check the R/Medicine website for updates.

• Causal Inference with R – Lucy D’Agostino and Malcolm Barrett
• Tidying your REDCap data with REDCap Tidier – Stephan Kadauke and Will Beasley
• Next Generation Shiny apps with bslib – Garrick Aden-Buie

The R/Medicine website is being updated as we receive the latest information. Please check in again soon!

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