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Tutoriales, Charlas Plenarias, Presentaciones y Pósters LatinR 2019

Presentaciones plenarias

Video

Mine Çetinkaya-Rundel is the Director of Undergraduate Studies and an Associate Professor of the Practice in the Department of Statistical Science at Duke University. Her work focuses on innovation in statistics pedagogy, with an emphasis on student-centered learning, computation, reproducible research, and open-source education. She is also a Professional Educator at RStudio.

Erin LeDell is the Chief Machine Learning Scientist at H2O.ai, the company that produces the open source, distributed machine learning platform, H2O. She received her Ph.D. from UC Berkeley where her research focused on machine learning and computational statistics. She is de founder of Women+ in Machine Learning & Data Science, and one of the co-founders of RLadies Global

The many backends of dplyr by Hadley Wickham

Video

Hadley Wickham is a Chief Scientist at RStudio, and an Adjunct Professor of Statistics at the University of Auckland, Stanford University, and Rice University. He build tools (computational and cognitive) that make data science easier, faster, and more fun.

Tutoriales

Success in data science and statistics is dependent on the development of both analytical and computational skills. As statistics educators we are more familiar and comfortable with teaching the former, but the latter is becoming increasingly important. The goal of this workshop is to equip educators with concrete information on content and infrastructure for painlessly introducing modern computation into a data science and/or statistics curriculum. In addition to gaining technical knowledge, participants will engage in discussion around the decisions that go into choosing infrastructure and developing curriculum. Workshop attendees will work through several exercises from existing courses and get first-hand experience with using relevant tool-chains and techniques, including R/RStudio, literate programming with R Markdown, and collaboration, version control, and automated feedback with Git/GitHub. We will also discuss best practices for configuring and deploying classroom infrastructures to support these tools. This workshop is aimed at participants who are interested in the role of computing in either a Statistics or Data Science curriculum, including faculty designing new courses/programs and those interested in adding or improving a computational component to an existing course. A basic knowledge of R is assumed and familiarity with Git is preferred.

El taller mostrará herramientas de “Deep Learning” aplicadas a problemas de Regresión, Clasificación y “Novelty Detection”. Se utilizará la interfaz KERAS basada en TensorFlow, tecnología de código abierto creada por Google para el desarrollo del aprendizaje automático. Se enseñarán a lo largo del taller los conceptos fundamentales de los métodos tratados, y se darán ejemplos de caso mediante el uso del entorno de desarrollo integrado Rstudio.

The key to well-documented, well-tested and easily-distributed R code is the package. This half day class will teach you how to make package development as easy as possible with devtools and usethis. You’ll also learn roxygen2 to document your code so others (including future you!) can understand what’s going on, and testthat to avoid future breakages. The class will consist of a series of demonstrations and hands on exercises. Participants should bring a laptop setup to build R packages. Detailed instructions are available here.

Slides

En este taller revisaremos la importancia de la visualización, aprenderemos de elementos técnicos como tipos de gráficos, correcto uso de colores, etiquetas y otros elementos; además de revisar buenas prácticas a considerar al momento de realizar una visualización. Luego, con R aprenderemos a realizar simples, interactivos y efectivos gráficos usando solo la función hchart, para después estudiar las funciones para configurar cada elemento del gráfico tales como los ejes, títulos, tooltips. Aprenderemos a graficar datos provenientes data.frames y otras fuentes de información, como datos espaciales. Finalizaremos aprendiendo cómo es como es la integración de highcharter con los paquetes Shiny y RMarkdown.

Presentaciones orales

El link en el nombre del trabajo te dará acceso al resumen del trabajo. El link en la palabra Slides te dara acceso a las slides de la exposición oral. El link en el nombre de los autores y moderadores te dará acceso a su cuenta de twitter.

Jueves 26

Mesa temática: Ciencia de Datos para las políticas públicas - Presentación: Verónica Canales

Germán Mondragón

Mauricio Vargas

Pablo León

Patricio Cofré

Mesa temática: Comunidades - Presentación: Laura Acion

Maëlle Salmon

Elio Campitelli, Gabriela Mathieu, Marcos Prunello

Yanina Bellini Saibene, Laura Acion, Florencia D'Andrea

Florencia D'Andrea, Laura Acion

  • SatRDay.

Riva Quiroga.

  • LatinR 2020.

Ignacio Alvarez Castro.

Panel: Datos oficiales y encuestas - Moderadora: Florencia D'Andrea

Richard Detomasi and Gabriela Mathieu

Gabriela Mathieu and Richard Detomasi

Panel: Género - Moderadora: Florencia D'Andrea

Yanina Bellini Saibene and Marina Cock

Juan Pablo Sokil and Laura Osorio Gómez

Panel: Manejo de datos

Santiago Melendi, Marilina Santero, Carolina Prado, Rosana Poggio, Natalia Elorriaga, Laura Gutierrez, Pablo Gulayin and Vilma Irazola

Richard Vogg

Luis D. Verde Arregoitia.

Andrés Cruz

Luciane Ferreira Alcoforado, Orlando Celso Longo, Lyncoln Sousa de Oliveira, Steven Dutt Ross and Alessandra Dos Santos Simão

Panel: Desarrollo de paquetes y R en producción - Moderador: Joshua Kunst

Juan Cruz Rodriguez and Javier Luraschi

Francisco Yira Albornoz Cambiaso and Francisco Benavides Lorca

Elio Campitelli

Tomás León

Camilo Gómez-Narváez, Moreno Bevilacqua and Víctor Morales-Oñate

Panel: Datos abiertos, datos de gobierno, elecciones

Matthew Upson, Matthew Gregory, Duncan Garmonsway and Matthew Dray

Fernando Barbalho, Lucas Leite, Jordão Gonçalves and Tiago Pereira

Juan Pablo Ruiz Nicolini and Juan Pablo Pilorget

Daniel Alcatruz and Sebastián Niklitschek

Daniela Vazquez

Viernes 27

Panel: Modelos predictivos - Moderadora: Yanina Bellini Saibene

Ana Laura Diedrichs, Facundo Bromberg and Diego Dujovne

Sara Acevedo, Cristina Contreras, Carlos Ávila, Javier Rivera and Carlos Bonilla

Daniela Prina, Sabrina López, Stephan Arndt and Laura Acion

Pablo Picardo

Francisco Zambrano

Panel: Bases de datos

Mauricio Vargas

  • Datasketch Apps: Herramientas web para limpieza y visualización de datos. Slides.

Camila Achuri y David Daza

Panel: Aplicaciones

Paola Corrales and Elio Campitelli

Javier Fajardo, Derek Corcoran, Patrick Roehrdanz, Lee Hannah and Pablo A Marquet

Marcos Prunello

Panel: Datos espaciales - Moderadora: Priscilla Minotti

Steven Dutt Ross, Orlando Celso Longo, Luciane Ferreira Alcoforado and Lyncoln Sousa De Oliveira

Antonio Vazquez Brust, Tomás Olego and Germán Rosati

Nicolas Sidicaro

Stephanie Orellana

Rocío Joo, Matthew E Boone, Thomas A Clay, Samantha C Patrick, Susana Clusella-Trullas and Mathieu Basille

Panel: Aplicaciones y modelos

Brenda V. Canizo, Ana Laura Diedrichs, Emiliano F. Fiorentini, Roberto G. Pellerano, Rodolfo G. Wuilloud and Juan M. Juricich.

Yuriko Sosa Paredes and Andrés Burga León

Jan Strappa Figueroa and Facundo Bromberg

Federico Molina, Natalia da Silva, Ignacio Ignacio Alvarez-Castro y Juan José Goyeneche

Patricio Aroca, Javier Fernández and Esteban López

Posters

Gabriela Sandoval

Carlos Catania y Jorge Guerra

Claudia Cifuentes Donald

Jesús Eduardo Gamboa Unsihuay

Guilherme Souza, Ariel Levy, Orlando Celso Longo and Luciane Ferreira Alcoforado

David Morales, David Morales and Stephanie Orellana

Giorgio Boccardo and Felipe Ruiz

Gabriel Zanlorenssi

Juan Francisco Venegas Gutiérrez and Rodrigo Barraza Alonso

Luis Eduardo Ferrer Cruz

Pablo A Cortés, Carla N Rivera and Manuel Muñoz

Matías Alejando Castillo Moine and Mónica Balzarini

Driselda Patricia Sánchez Aguirre and Luis Domingo Martínez Vázquez

Ignacio Castro, Gonzalo Nuñez and María Simian

Marcos Prunello

Libro de Actas LatinR 2019

El libro de actas presenta todos los trabajos contribuidos, aceptados y presentados durante la conferencia. Editoras: Yanina Bellini Saibene, Florencia D'Andrea.

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