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 (Platinum Member) (ISC Chairperson)
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.
R Foundation (R Foundation Representative)
Henrik Bengtsson is an Associated Professor at University of California, San Francisco, a member of the R Foundation, with a background in Computer Science and Mathematical Statistics.
Gordon and Betty Moore Foundation (Platinum Member)
As a program officer in the Gordon and Betty Moore Foundation's Science Program, Adam is part of the team managing the Marine Microbiology and Symbiosis in Aquatic Systems Initiatives.
As a program officer in the Gordon and Betty Moore Foundation's Science Program, Adam is part of the team managing the Marine Microbiology and Symbiosis in Aquatic Systems Initiatives. He also leads awards advancing science and technology policy fellowships in Washington D.C., Sacramento, and other state capitols. In addition, Adam oversees grants in partnership with the foundation’s Environment program focused on coral reef conservation and freshwater resources in California.
Prior to joining the foundation, Adam was an AAAS Science and Technology Policy Fellow at the U.S. Department of State. He has a broad research background in marine microbiology, natural products biochemistry, genetics, genomics, and drug discovery. Adam has conducted fieldwork in a variety of temperate and tropical locations around the world.
Adam received a B.S. in biology from Providence College, a M.S. in marine biology from the University of North Carolina Wilmington, and a Ph.D. in oceanography from Scripps Institution of Oceanography at the University of California, San Diego. He completed postdoctoral research as an Alexander von Humboldt Fellow at the University of Tübingen in Germany.
Microsoft (Platinum Member)
Hong Ooi is a Senior Data Scientist with the Azure team at Microsoft, where he builds packages and helps customers to develop solutions to data science and machine learning problems.
Hong Ooi is a Senior Data Scientist with the Azure team at Microsoft, where he builds packages and helps customers to develop solutions to data science and machine learning problems. He has worked in statistics and risk-related fields for more than 25 years, for a range of companies including NRMA Insurance and ANZ Bank. For much of that time he used R (and S-Plus) extensively, and is the author of several packages on CRAN. He holds a BEcon in Actuarial Studies and Masters in Applied Statistics from Macquarie University, and a PhD in statistics from the Australian National University
TIBCO (Silver Member)
R-Hub Project Lead (Non-voting observer)
R User Group Support Project 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
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.
R Community Diversity and Inclusion Project Lead (Non-voting observer)
Samantha Toet works in Business Development and Marketing at RStudio.
ESRI (Silver Member)
Spatial Statistics Researcher at ESRI and Lecturer at University of Southern California
Personalised Healthcare Data Science team at Roche/Genentech
James is an Associate Group Director in the Personalised Healthcare Data Science team at Roche/Genentech, a diverse group of quantitative scientists focussed on enabling the Roche PHC vision by leveraging routinely collected real world data at ever greater scale to generate insights to support getting the right drug to the right patient.