Wednesday, March 20, 2024 From rOpenSci (https://ropensci.org/blog/2024/03/20/champions-program-projects-cohort1/). Except where otherwise noted, content on this site is licensed under the CC-BY license.
Our first cohort of the rOpenSci Champions Program has now completed the second phase of the program by developing their project and carrying out outreach activities. In this article, we share each Champion’s project, their achievements and their outreach activities.
In their applications Champions choose to develop a new package or to participate in the review process as authors or reviewers.
Carolina Pradier from Argentina worked on the eph package, which facilitated working with data from the Permanent Household Survey - INDEC, Argentina. Carolina added functionality to the package, reduced the number of dependencies, improved error messages and increased test coverage before submitting the package for review. After peer review in Spanish, her package is now part of the rOpenSci suite and was published on CRAN. Her mentor was Athanasia Mo Mowinckel from Norway.
Victor Ordu, from Nigeria, worked on the naijR package, which contains a suite of functions which make it easier to deal with data and datasets related to Nigeria and its constituent parts. Victor worked on improving error messaging and replacing dependencies for spatial packages. After peer review, his package became part of the rOpenSci suite and was published on CRAN. His mentor was Laura DeCicco from the US.
Alican Cagri Gokcek from Turkey reviewed Victor’s package. As a blind developer, in his review Cagri focused on the accessibility of the visualizations the package created. His mentor was Elio Campitelli from Argentina.
Cesar Aybar from Peru, developed the rgeeExtra package that extends the functionality of rgee, a package for accessing the Google Earth Engine API. rgeeExtra was designed to modify rgee’s accessing and processing of remote sensing spatial data to have a more friendly syntax for R users. Cesar worked on adding functionality, changing the syntax of the package, improving test coverage and error messages, and replaced spatial dependencies. His package is under review. His mentor was Marc Choisy from Vietnam.
Paola Corrales from Argentina, developed the agroclimatico package which calculates climatic and hydrological indices and statistics from sorted data, including a function to plot geo-referenced results and cartographic information. Paola replaced dependencies, improved error messages, and increased test coverage. She had to make difficult decisions, such as changing the package’s name and some of the functions to avoid confusion with other existing packages. agroclimatico is under review in Spanish. Her mentor was Adam Sparks from Australia.
Marcos Prunello from Argentina, worked on his package karel, which implements Karel the robot in R. By writing programs to help Karel complete tasks, users learn introductory concepts about programming in an interactive and fun way. Marcos worked on improving error messages and developed infrastructure that allow the package to provides functions, arguments, messages, and documentation in both English and Spanish. The multilingual solution enables additional languages to be added. The package is under review, being the first to have a bilingual review! His mentor was Lukas Wallrich from the UK.
Haydee Svab, from Brazil, developed a new package called odbr that helps with accessing and processing data from the Brazilian origin and destination (od) surveys and implements many of the algorithms that Haydee developed for her master’s thesis. She had the goal to publish the package on CRAN, and after several attempts, and with the support of her mentor, Beatriz Milz from Brazil, the package was published.
Bilikisu Wunmi Olatunji from Nigeria, developed the new package chartkickR. The package is an htmlwidget that seamlessly integrates with the Chartkick JavaScript library. It provides R users with a straightforward interface to generate beautiful and interactive charts using R code. The package provides ten types of plots that you can produce with very few lines of code. You can read more in Bilikisu’s blog post. Her mentor was Christina Maimone from the US.
Ghozayel Elotteebi from Saudi Arabia, worked on a new package called Lextale. To Ghozayel’s knowledge, this is the first R package in the field of linguistics developed in Saudi Arabia and would be the first local contribution to rOpenSci. She is working on polishing the package functionality in order to send it through the review process. Her mentor was Zebulun Arendsee from the US.
Our Champions carried out a wide range of outreach activities like talks, conference papers, workshops, blog articles, community calls and meetups. The objective of these activities was to share what they did and learned during the program with their communities beyond rOpenSci.
Outreach activities were carried out from May 2023 to December 2023 involving local communities (universities, RUGs, R-Ladies Chapters, conferences, and organizations) and delivered in Champions’ native language (English, Spanish, and Portuguese).
Paola Corrales developed and delivered an online workshop for non-selected applicants on Git and GitHub already giving back to the program. She will also teach this workshop for the second cohort.
Marcos Prunello developed a workshop on how to create R packages and make them multilingual in Spanish for an in-person meetup hosted with the National University of Rosario (Argentina) and RenRosario R User Group, reactivating the activities of this local community after a hiatus during the pandemic.
Bilikisu Wunmi Olatunji delivered a workshop on Working with JavaScript in R for the R-Ladies Abuja chapter. She learned about this topic for the development of her package for the Champions Program.
Carolina Pradier, Victor Ordu, Paola Corrales, Haydee Svab (Champions), Beatriz Milz, Elio Campitelli, and Adam Spark (mentors) participated in Community Calls and Coworking sessions for the Champions Program. They shared their experience, their work, and tips for applying to the program. They also spoke with and joined the community manager in talks with local groups about the program to encourage other people to participate.
Carolina Pradier also organized an online event in Spanish for the community of users and developers of her package eph. In this event Carolina updated the community about all the improvements she made to the package through the Champions Program and three panelists explained how they use the package.
Our Champions are part of other communities like R-Ladies, LatinR and local R User Groups, and organized several activities with these groups.
Cesar Aybar delivered the talk “Preparing remote sensing data for deep learning using r-spatial” for the Environmental Data Science Book.
At a meetup with RenRosario RUG and the Universidad Nacional de Rosario, Marcos Prunello talked about rOpenSci and Carolina Pradier delivered a talk about her project Paquete {eph}: Novedades e ideas para su uso.
Haydee Svab and Beatriz Milz organized an in person event with R-Ladies Sao Paulo in portuguese Pacotes em R de dados brasileiros where Haydee delivered a talk about the rOpenSci Champions Program and the odbr package she developed as her project in the program. The event also highlighted others women developers from Brazil. This blog post (in Portuguese and English) summarizes the event and shares the slides of all the talks.
All the Latin American participants of the program wrote a summary of their experiences in the program which was accepted at LatinR (2023 at the Universidad de La Republica, Uruguay) and presented in Portugese by Haydee Svab representing all the authors.
All our champions and mentors wrote blog posts for the rOpenSci webpage (English, Spanish).
Our Champions have been very successful in the delivery of their projects, building high quality software with a focus on their countries and discipline. The impact of their work also spread to their home institutions and related local communities. Not only through their outreach activities sharing information and knowledge contextualized for their audience, but also through their researching and developing solutions to common barriers to participation such as language.
Many of our Champions will continue engage with rOpenSci, and even have already planned activities for 2024. Stay tuned to learn about them!
We want to thank the CSCCE team, especially Lou Woodley, Camille Santistevan, and Maya Sanghvi, for their support in designing the overall program.
The rOpenSci Champions Program is funded by The Chan Zuckerberg Initiative. This phase of the Champions Program was made possible by the work and feedback of many people.