Publications by R Consortium

Beyond Case Counts: Making COVID-19 Clinical Data Available and Useful

23.07.2020

Thurs, August 13th, 9am PDT/12pm EDT/18:00 CEST – Register now! Hosted by the COVID-19 Data Forum/Stanford Data Science Initiative/R ConsortiumCOVID-19 is the first pandemic to occur in the age of open data. Public health agencies around the world are releasing case counts to the public, and scientists are providing analyses and forecasts in r...

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Join us at R/Medicine – Aug 27-29, 2020

06.08.2020

August 27-29, 5:30am PDT / 8:30am EDT / 2:30pm CEST – Register now! Brought to you by the Children’s Hospital of Philadelphia, Yale School of Public Health, and the R Consortium, the R/Medicine conference encourages the adoption of statistical modeling and reproducible data processing in clinical practice. R is the gold standard in reproducib...

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We’ll be at R/Pharma – Oct 12-15, 2020

11.08.2020

This fall, the R Consortium’s support for advancing data science in medicine continues with the third of three exceptional events, pulling together experts in their fields, including the Covid-19 Data Forum, R/Medicine, and R/Pharma. What is R/Pharma? R/Pharma is an ISC working group under the R Consortium. The entire event is a community-l...

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Thank you to our Speakers and Participants – COVID-19 Data Forum II

17.08.2020

The second COVID-19 Data Forum, co-sponsored by the Stanford Data Science Institute and the R Consortium, was held August 13, 2020. This series of forums brings together experts working to collect and curate data needed to drive scientific research and formulate effective public health responses to the pandemic. The forum utilized Zoom as the vi...

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From R Hub – JavaScript for the R package developer

30.08.2020

Originally posted on the R Hub blog JS and R, what a clickbait! Come for JS, stay for our posts about Solaris and WinBuilder. No matter how strongly you believe in JavaScript being the language of the future (see below), you might still gain from using it in your R practice, be it back-end or front-end. javascript is rly the future and it's ...

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September 2020 ISC Call for Proposals – Now Open!

01.09.2020

The deadline for submitting proposals is midnight, October 1st, 2020. The September 2020 ISC Call for Proposals is now open. As always, the R Consortium’s Infrastructure Steering Committee (ISC) is interested in progressive, pioneering projects that will benefit and serve the R community and ecosystem at large. The ISC’s goal is to foster inn...

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R/Pharma October 2020

26.10.2020

The R/Pharma virtual conference this year was held October 13-15th, 2020. R/Pharma focuses on the use of R in the development of pharmaceuticals, covering topics from reproducible research to drug discovery to genomics and beyond. Over 1,000 people signed up for the 3 day, free event this year! Designed to be a smaller conference with maximum int...

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Register now! Brazilian Conference on Data Journalism and Digital Methods – Coda.Br 2020

28.10.2020

This November 2nd-7th, 2020, the 5th edition of the Brazilian Conference on Data Journalism and Digital Methods (Coda.Br) will be taking place with 50 national and international guest speakers and 16 workshops. Coda.Br is the largest data journalism conference in Latin America and this year will be completely online. Organized by Open Knowledge B...

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Join Us Dec 10 at the COVID-19 Data Forum: Using Mobility Data To Forecast COVID-19 Cases

18.11.2020

Thurs, December 10th, 9am PDT/12pm EDT/18:00 CEST – Register now! Hosted by the COVID-19 Data Forum/Stanford Data Science Initiative/R Consortium Join the R Consortium and learn about mobility data in monitoring and forecasting COVID-19. COVID-19 is the first global pandemic to occur in the age of big data. All around the world, public health ...

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R Consortium Providing Financial Support to COVID-19 Data Hub Platform

14.12.2020

The R Consortium’s COVID-19 Working Group is providing a new home for the COVID-19 Data Hub Project. The goal of the COVID-19 Data Hub is to provide the worldwide research community with a unified dataset by collecting worldwide fine-grained case data, merged with external variables helpful for a better understanding of COVID-19. An initial awa...

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