Purpose
Our summit builds on one of the initial goals of R/Pharma - to bring people together in a room and start the conversations. The first two years of R/Pharma were solely in-person events where amazing work was discussed, sparking industry initiatives. When we moved to online conferences, the benefit of face-to-face interaction was lost. The R/Pharma Summit brings it back.
Each year we host a face-to-face summit as posit::conf, bringing thought leaders and decision makers together in a room to discuss all things open source and Pharma. The notes taken, and any actions, are shared with the community.
Prior Summits
2024 F2F Roundtables in Seattle
~120 leaders from 40+ companies met F2F in Seattle for a series of discussions on the most pressing topics for late-stage reporting in R.
The discussion was crowdsourced via a github discussion, and led to the following topics:
- Future core competency of clinical statistical programmer with AI/LLM
- Transitioning our people from SAS to R
- Can we do data storage and processing better in clinical trials?
- R package validation
- Sharing R data products externally
- Leveraging operational metrics for better SCEs/platforms
- Validation of shiny apps
- How best to engage and enable small/mid-size pharma to use R and open source tools
2023 F2F Roundtables in Chicago
~60 leaders from 40+ companies met F2F in Chicago for a series of discussions on the most pressing topics for late-stage reporting in R.
The discussion was crowdsourced via a github discussion, and led to the following topics:
- What should we be doing to leverage advances in LLMs/AA/AI impact? (at the drug development through to developer efficiency levels)
- The case for contributing to OS
- Where are we with our people?
- What is the path to an interactive CSR?
- What are the barriers bringing imaging/genomics/digital biomarkers and the CRF closer?
- What are the risks with our increasing external business code dependencies?
- What are our goals for a modern clinical reporting workflow, on a modern SCE?
- We have a path to R package validation - but what are we doing with shiny apps?