ISC working groups provide the mechanism through which the ISC can explore, fund, and manage large collaborative projects. There are primary two modes of collaboration that may make a proposal well suited to be a WG:
- The advice or collaboration of subject matter experts is required to decide the merit or feasibility of a project.
- The work required for the project requires the skills not possessed by a single individual, or the amount of work required is more than can be accomplished by a single person in a reasonable amount of time.
Benefits of Forming an ISC Working Group
Your project will be:
- Vetted by the relevant experts
- Sanctioned by the R Consortium
- Receive the attention of the R Foundation
- Become visible to the greater R Community
- Administrative support from the R Consortium
Active Working Groups
- Future-proof native APIs for R: This working groups will assess current native API usage, gather community input, and work towards an easy-to-understand, consistent and verifiable API that will drive R language adoption.
- Code Coverage Tool for R: Helping to improve software quality, the code coverage tool will address feature and platform limitations of existing tools while also promoting the use of code coverage more systematically within the R ecosystem.
- A Unified Framework for Distributed Computing in R: Develop a common framework to simplify and standardize how users program distributed applications in R
- R Certification: Working to establish a common certification program for proficiency in R
- R in Medicine: A community of R users in the medical industry collaborating on events and advocacy of R.
- R in Pharma: A community of R users in the pharmaceutical industry collaborating on events and advocacy of R.
- R Community Diversity and Inclusion Working Group: A group broadly consider how the R Consortium can best encourage and support diverse and inclusion in the R Community
- Census Working Group: A group developing a guide, package recommendations, and other materials for working with census data.
- histoRicalg — Preserving and Transfering Algorithmic Knowledge: The histoRicalg project aims to document and test such codes that are still part of R, possibly creating all-R reference codes, hopefully by teaming older and younger workers so knowledge can be shared for the future.