Learn smart slidewriting with your own examples:

In the theoretical part of the training, you will learn techniques for structuring complex information logically and for designing easy-to-understand slides and stories. In the practical part, you will then apply these techniques to your very own research findings and produce your own presentation. By the end of the training, you will have a coherent storyline of your own academic presentation as well as drafts of most of your slides.

Important:

This training focuses on the logic of good presentations; it does not cover the use of presentation software like PowerPoint.

Receive individual feedback:

Prior to the training, you can send an already existing presentation to the trainer at markus.burger@slidewriting.com and receive individual feedback.

Summary
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.