Call for Speakers

in 123 days


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]

open, 5 days left
Call for Speakers
CfS opens at 12:00 AM

11 Dec 2019

CfS closes at 11:59 PM

29 Jan 2020

This event is in UTC+01:00 - Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna time zone.
Closing time in your time zone 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]

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