Simple interactive research sharing with R Shiny Compact Course: Simple interactive research sharing with R Shiny

• Date: 19.02.2026
• Time: 9am - 1pm
• Instructor: James Bowyer, Research Software Engineer, Scientific Software Center
• Venue: Mathematikon Bauteil A, Im Neuenheimer Feld 205, in the conference room 5/104 on the 5th floor

This is a half day course.

Rather than just share pictures of your R research/graphs, R Shiny lets you turn your existing R analysis into an interactive web application that anyone can access through a link. With this live interface, your collaborators, grant reviewers, or other researchers can investigate the specific aspects they care about - like filtering by their genes of interest or adjusting parameters. We'll cover how to convert your current R files into Shiny apps, with practical information also relevant for Python Streamlit users on costs, maintenance time, and an overview of the process of hosting them online covered at the start so you can decide if this workshop is relevant for your purposes. This workshop is hands-on and works best when you send your R scripts to us one week in advance. You do not need to learn complicated web development - just the R you already know from the console and the process of deploying which works very similarly, and can all be completed inside of the “R studio” application. After this workshop, you will be able to share future projects the same way.

Please register here to sign up for this course.