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Tools of the Trade: R for Developmental Researchers
May 27, 2021 @ 11:00 am - 12:30 pm
An event every 2 days that begins at 11:00 am, repeating until May 27, 2021
Over two sessions, learn about R for developmental researchers. Attendees are welcome to attend one or both of the sessions to hone their skills and learn from established researchers.
May 25 and May 27
08:00 PDT/11:00 EDT/16:00 BST/17:00 CEST
Registration is complimentary for all ICIS members and interested members must register by May 23 for access.
Non-members are welcome to attend for a small fee.
Due to overwhelming demand, the sessions are now full.
May 25th – Introduction to R for Developmental Researchers
Delivered by Krista Byers-Heinlein
This course provides an introduction to R for developmental researchers and assumes no previous R experience. The course will cover key R fundamentals, including why R, the R Studio console, scripts, packages, data frames, and basic data visualization with ggplot. Attendees will learn approaches to solving common problems encountered in R, and how to continue learning R after the workshop is over.
May 27th – Intermediate R for Developmental Researchers
Delivered by Michael C. Frank
This course builds on basic R skills and introduces the tidyverse, a suite of tools for data wrangling and visualization. We’ll cover the most common analytic pathway from a developmental dataset (XLSX or CSV) to a nice graph. Attendees will leave with pointers to some of the exciting tools that become available once you’re familiar with this ecosystem.
Dr. Krista Byers-Heinlein is a professor of psychology at Concordia University, where she holds the Concordia University Research Chair in Bilingualism and Open Science and directs the Concordia Infant Research Lab. Her research focuses on language, cognitive, and social development in infants who grow up in bilingual environments. Originally trained on SPSS, she has been an R since 2009, and since then has guided many students and colleagues through their first steps in using R.
Michael C Frank
Michael C. Frank is David and Lucile Packard Professor of Human Biology at Stanford University and Director of the Symbolic Systems Program. He received his PhD from MIT in Brain and Cognitive Sciences in 2010. He studies language use and language learning, focusing especially on early word learning. He is the founder of the ManyBabies Consortium, a collaborative replication network for infancy research, and has led open-data projects including Wordbank and MetaLab. He was a Jacobs Foundation Fellow and has received the Troland Award from the National Academy of Sciences, the FABBS Early Career Impact Award, and the Marr Prize and Glushko Dissertation Prize from the Cognitive Science Society. He served as Chair of the Governing Board of the Cognitive Science Society and has edited for journals including Cognition and Child Development.