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:

  1. The advice or collaboration of subject matter experts is required to decide the merit or feasibility of a project.
  2. 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 RDevelop 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.

Working groups have public mailing lists to facilitate discussions.