Working Groups are designed to support shared R&D activities for determining the best path or approach for a problem domain. Examples of current working groups include API design and testing infrastructure.
For activities that well defined and scoped, yet require funding to help bring to fruition, the ISC has established a grant fund. Twice yearly the ISC awards grants for projects such as code development, workshops, infrastructure, and other projects to help sustain the R community.
For community projects of importance to the R community and needing long term support by R Consortium, the project and ISC can consider the project for long term status. This gives the project guaranteed funding for 3 years, along with a voting seat on the ISC. Projects looking for this status will need to justify to the ISC why the project needs long term funding, as well as submit a 3 year plan and budget for consideration. Top level project get priority access to grant funds available.
The goal of the Infrastructure Steering Committee (ISC) is to support projects that, broadly construed, help the R community. This might be software development, developing new teaching materials, documenting best practices, promoting R to new audiences, standardising APIs or doing research.
Voting members of the consist of appointed individuals from Platinum and Gold members of the R Consortium, one individual elected to represent the Silver members of the R Consortium, and the project leads for each top level R Consortium ISC Project.
Current ISC Voting Members
R Studio (Chairperson), Platinum Member
Hadley is Chief Scientist at RStudio, a member of the R Foundation, and Adjunct Professor at Stanford University and the University of Auckland.
Hadley is Chief Scientist at RStudio, a member of the R Foundation, and Adjunct Professor at Stanford University and the University of
Auckland. He builds tools (both computational and cognitive) to make data science easier, faster, and more fun. His work includes packages for data science (the tidyverse: including ggplot2, dplyr, tidyr, purrr, and readr) and principled software development (roxygen2, testthat, devtools). He is also a writer, educator, and speaker promoting the use of R for data science. Learn more on his website, http://hadley.nz.
Microsoft, Platinum Member
Gordon and Betty Moore Foundation, Platinum Member
Chris Mentzel leads the Gordon and Betty Moore Foundation’s Data-Driven Discovery Initiative.
Chris Mentzel leads the Gordon and Betty Moore Foundation’s Data-Driven Discovery Initiative, a $60 million effort within the Science Program to enable data scientists to turn the scientific data deluge into opportunities to address some of today's most important research questions. Previously, Chris led the grants administration department and also worked as senior network engineer for the foundation. He has held positions as a systems engineer and integrator at the University of California, Berkeley, and at various Internet consulting firms in the Bay Area. An active member of the broader big data and open science communities, Chris serves on a number of advisory boards and program committees and speaks frequently at conferences and workshops on topics related to data-driven research. Chris received a B.A. in mathematics from the University of California, Santa Cruz, and an M.Sc. in management science and engineering at Stanford University.
Director of Biostatistics at Genentech, Gold Member
Alun is a Director of Biostatistics at Genentech, leading a team of statisticians working in early clinical development in Immunology, Infectious Diseases and Ophthalmology. He has worked in the Pharmaceutical Industry for 30 years for a variety of companies and has experience in all areas of drug development, from pre-clinical to post registration. His specialist areas are model based dose finding, master protocols, adaptive clinical trials, Bayesian methodology and statistical software. Alun is also a member of the PSI AIMS Special Interest Group, the ASA Biopharmaceutical Software working group and the TransCelerate Placebo and Standard of Care workstream. Alun has a BSc in Applied Statistics from Sheffield Hallam University and a PhD in Applied Statistics from the University of Reading.
TIBCO, Gold Member
Mango Solutions, Silver Member Representative
Hannah Frick is a Data Scientist at Mango Solutions.
Hannah Frick is a Data Scientist at Mango Solutions where she helps organisations to become more data-driven through data science projects and training in mainly R. She holds a PhD in statistics from Universitaet Innsbruck, Austria, for her work on the intersection of statistics, psychometrics and statistical computing. At University College London she worked with Team GB Hockey in preparation for the 2016 Olympic Games. She has authored and maintains several R packages on CRAN and is a member of the R-Ladies leadership team.
R-Hub Project Lead ( Non-voting observer )
R User Group Support Program Lead ( Non-voting observer )
Joseph, RStudio’s “Ambassador at Large” to the R Community and editor of the R Views blog, has been focused on promoting the R language and supporting the R Community since he joined Revolution Analytics in 2009.
Joseph, RStudio’s “Ambassador at Large” to the R Community and editor of the R Views blog, has been focused on promoting the R language and supporting the R Community since he joined Revolution Analytics in 2009. In addition to serving on the R Consortium’s Board of Directors, he is a member of the ISC and administers the R User Group Support Program. In the past, Joseph held technical, marketing, and sales positions with several prominent Silicon Valley startups including, Sytek Inc., Alantec, Parallan Computer and Scotts Valley Instruments as well as with larger organizations including CSC, Agilent Technologies and Microsoft. Joseph is a member of the ASA, and a Life Member of the IEEE. He has experience working with standards committees including the IEEE 802.3 CSMA/CD Working Group and the IDEMA PRML technical committee. Joseph studied Classics and Mathematics as an undergraduate at Franklin & Marshall College and earned an M.A. in Humanities and an M.S. in Computational Statistics from the California State University. You can follow him on Twitter as @RStudioJoe.
R-Ladies Project Lead ( Non-voting observer )
Claudia is an environmental scientist and a member of the R-Ladies leadership team.
Claudia is an environmental scientist and a member of the R-Ladies leadership team. She holds a PhD in Hydrology from Imperial College London and works on forecasting natural hazards for the European Centre for Medium-range Weather Forecasts (ECMWF).
Prior to joining ECMWF, Claudia worked as researcher for Imperial College London (on environmental modelling, uncertainty estimation and web services development) and Brunel University London (on Big Data analytics for environment and health) as well as developer for various consultancies. She is an advocate of open source software, a passionate communicator and engaged in various outreach activities related to science and technology: from meetups to hackathons and kaggle competitions.