rOpenSci | LatinR <- Latinamerican Conference About the Use of R in R&D 2024

Don’t miss the seventh edition of LatinR! This year, this year we will gather virtually to learn about the latest developments in R in Latin America. The program includes practical workshops, talks, and dialogue sessions with presenters.

Keynotes

  • Will Landau is a keynote speaker at LatinR! with the talk “targets: a rediscovery from a different field”

The practice of Statistics creates non-statistical challenges whose solutions come from software engineering. Version control, portable package libraries, and literate programming are already well-known examples. Pipeline tools, however, are an unlooked-for answer to workflow management struggles people seldom realize they have. The {targets} package is a pipeline tool that scales to large workloads, saves time, and embraces the comfort of your local R environment. This talk showcases {targets} tackling a formidable real-world example from Bayesian data analysis, and it posits a trove of unconventional breakthroughs waiting to be noticed by statisticians.

  • Julia Silge is a keynote speaker too, with the talk “What is “production” anyway? MLOps for the curious”

While data scientists are often taught about training a machine learning model, building an MLOps strategy to deploy and maintain that model can be daunting. You may have even heard that R is not appropriate for production use. In this talk, learn what the practice of machine learning operations (MLOps) is, what principles can be used to create a practical MLOps strategy, what people mean when they say “production”, and what kinds of tasks and components are involved. See how to get started with vetiver, a framework for MLOps tasks in R (and Python) that provides fluent tooling to version, deploy, and monitor your models. This talk will help practitioners who are already deploying models, but this is also useful knowledge for data science practitioners earlier in their MLOps journey; decisions made along the way can make the difference between resilient models that are easier to maintain and disappointing or misleading models.

Satellite events

Tutorials

Talks

  • Reemplazando la torre de Babel: herramientas para documentos multilingües en R. Maëlle Salmon, Yani Bellini Saibene, Pao Corrales, Elio Campitelli.

  • {ARcenso}: primeros pasos desarrollando un paquete en comunidad con rOpenSci. Andrea Gomez Vargas, Emanuel Ciardullo.

  • Documentación multilingüe en paquetes de R. Elio Campitelli.

  • Usando Quarto Live para tutoriales interactivos. Yani Bellini Saibene.

  • Creando un universo mejor. Mauro Lepore.

  • GuGuDaDados: A space for children and babies in events. Haydee Svab, Beatriz Milz, Tatyane Paz, Ana Carolina Moreno

  • argendataR: la cocina de los datos de Argendata. Juan Pablo Ruiz Nicolini, Juan Gabriel Juara

  • inventarioRRNN. Un paquete de datos en R para abrir datos de recursos naturales de La Pampa. Juan Caldera, Yani Bellini Saibene.

  • Democratizing Data Science in Portuguese: A Community-Led Translation of “R for Data Science” (2nd Edition). Cesar A. Galvao, Beatriz Milz, Riva Quiroga, Ariana Cabral, Alberson da Silva Miranda, Marcus Antonio Cardoso Ramalho, Maximilian Canez Fernandes, José Carlos Barbosa, Bruno Mioto, Halian Vilela, Eric Scopinho, Ana Carolina Moreno, Luana Antunes Alexandre, Magno Tairone, Debora Silva, Arthur de Carvalho e Silva, Ían Muliterno, Carolina Musso, Jeanne Franco.

  • Personalización y estilo con css y herramientas de diseño web. Luis Verde Arregoitia.

  • Tablero estadístico en shinydashboard de personas mayores en Argentina. Andrea Gomez Vargas, Leandro Olivo, Bárbara Estévez Leston, Juan Manuel Damiani.

Registration

The conference is free, and the registration is done through Eventbrite.

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