Call for Speakers

Call for Speakers is closed. Submissions are no longer possible. Sorry.
finished 1,483 days ago


event starts

27 May 2020

event ends

30 May 2020


Milan, Italy


The European R users meeting (eRum) is a biennial conference that brings the R User Community of Europe together to exchange experiences, broaden knowledge of R and collaborate.

eRum is an open event, and it welcomes expert and skillful practitioners as well as people who just want to take a peek into the future of data science.

eRum aims to provide a platform for the creation of new collaborations and for sharing experiences. Being a non profit conference, the ticket’s price will be kept as low as possible.


All questions about submissions should be emailed to programme [at]

finished 1,604 days ago
Call for Speakers
Call opens at 12:00 AM

11 Dec 2019

Call closes at 11:59 PM

29 Jan 2020

Call closes in W. Europe Standard Time (UTC+01:00) timezone.
Closing time in your timezone () is .

Submission Guidelines

Please feel free to submit one or more proposal(s) that fit in one of the following Session formats:

  • Workshop (3-6 hours): tutorial for 10-50 (or more) people on a beginner or advanced R topic. Workshops will be given on May 30 (Saturday).
  • Regular talk (20 minutes): abstracts accepted for regular talks will take place during oral sessions. Each talk is allowed 20 minutes for the presentation (including questions and answers).
  • Lightning talk (5 minutes): abstracts accepted for lightning talks will be allocated to lightning talk sessions. Each talk is allowed 5 minutes for the presentation.
  • Shiny demo (5 minutes): abstracts accepted for this category will be presented in a dedicated demo session.
  • Poster: abstracts accepted for posters will take place in a dedicated poster session. The dimensions of each poster should not exceed 4' x 4' or 120cm x 120cm.

Please submit your abstract using the Description field (max 1200 characters, whitespaces are not counted).

Conference tracks

The program of eRum will be structured around 6 tracks:

  • R World: covers everything related to the world of R, such as education, community, and the R ecosystem.
  • Data Visualization & Shiny: covers innovative visualization methods, as well as Shiny applications and the Rmarkdown world
  • R in Production: Anything related to production-ready projects, such as IT and infrastructure, efficient programming, and R at scale. 
  • Machine Learning & Models: covers all the development in statistical models, Machine Learning, and statistics in general.
  • R in Life Sciences: Applications and development of tools in biology, genomics, biostatistics, and bioinformatics. 
  • R Applications: Applications of R in fields such as social goods, finance, marketing, transportation, and many more. 


All questions about submissions should be emailed to programme [at]