12 September 2021
Two workshops will showcase the latest research being enhanced by data science across the UvA. The workshops are open to all UvA PhD students and employees. Lunch will be included. There are limited places available for the workshops so register now!
In order to host this event in line with government regulations, we will be using the CoronaCheck app. Therefore it is necessary to provide proof of a negative test result or a vaccination certificate or proof that you have recovered from corona and valid ID.
In recent years, network analysis has been applied to identify and analyse patterns of statistical association in multivariate psychological data. In these approaches, network nodes represent variables in a dataset, and edges represent pairwise conditional associations between variables in the data, while conditioning on the remaining variables. This workshop provides an anatomy of these techniques, describes the current state of the art, and demonstrates the use of these techniques in the open statistics JASP software developed at the UvA.
No special prerequisites are needed. Workshop participants can bring their own data and download JASP prior to the workshop, so they can apply the methodology to their own dataset. Participants who do not have their own data can use an example dataset that is included with JASP.
This workshop will introduce you to open data science using R, RStudio and GitHub so you can work with data in an open, reproducible, and collaborative way. “Open data science” means that methods, data, and code are available so that others can access, reuse, and build from it without much fuss. Here you will learn a workflow with R, RStudio, git and GitHub.
This is going to be fun, because learning these open data science tools and good practices is empowering. In this workshop, we will cover the basics of literate programming with R Markdown, create publication-grade graphs with ggplot2 and see how you can collaborate with your most important collaborator: you!
RStudio virtual machines will be set up in the cloud before the workshop to make sure everything has access to datasets and required R packages.
No prior knowledge is required although some prior experience with R and RStudio would help to follow along.