Following up on Stefanie’s recap of unconf 17, we are following up this entire week with summaries of projects developed at the event. We plan to highlight 4-5 projects each day, with detailed posts from a handful of teams to follow. skimr Summary: skimr, a package inspired by Hadley Wickham’s precis package, aims to provide summary statistics iteratively and interactively as part of a pipeline.
We held our 4th annual unconference in Los Angeles, May 25-26, 2017. Scientists, R-software users and developers, and open data enthusiasts from academia, industry, government, and non-profits came together for two days to hack on projects they dreamed up and to give our online community an opportunity to connect in-person. The result?
On 21-22 April, the London School of Economics hosted the Text Analysis Package Developers’ Workshop , a two-day event held in London that brought together developers of R packages for working with text and text-related data.
You can find members of the rOpenSci team at various meetings and workshops around the world. Come say ‘hi’, learn about how our packages can enable your research, or about our onboarding process for contributing new packages, discuss software sustainability or tell us how we can help you do open and reproducible research. Where’s rOpenSci?
For a fourth year running, we are excited to announce the rOpenSci unconference, our annual event loosely modeled on Foo Camp. We’re organizing #runconf17 to bring together scientists, developers, and open data enthusiasts from academia, industry, government, and non-profits to get together for a couple of days to hack on various projects and generally enrich our community. The agenda is mostly decided during the unconference itself.
Next week I’ll be in Washington DC to meet my peers in research community management as part of the inaugural class of the AAAS Community Engagement Fellowship Program! The program, funded by the Alfred P. Sloan Foundation, has a mission to improve community building and collaboration in scientific organizations and research collaborations by providing a year of training and support to a cohort of scientific community managers.
You can find members of the rOpenSci team at various meetings and workshops around the world. Come say ‘hi’, learn about how our packages can enable your research, or about our onboarding process for contributing new packages, discuss software sustainability or tell us how we can help you do open and reproducible research. Where’s rOpenSci?
Our team has been cranking out a large number of tools over the past several months. As regular readers are aware, our software packages provide programmatic access to a diverse and extensive trove of scientific data. More recently we’ve expanded our efforts to build more general purpose and cross-domain tools.
