Building reproducible analytical pipelines in R workshop

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Learn how to build reproducible analytical pipelines in R! Join our workshop on Building reproducible analytical pipelines in R which is a part of our workshops for Ukraine series. 


Here’s some more info: 


Title: Building reproducible analytical pipelines in R


Date: Thursday, June 29th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)


Speaker: Bruno Rodrigues. Bruno is currently employed as the head of the statistics department at the Ministry of Higher education and Research in Luxembourg. Before joining the public sector, Bruno worked as a data science consultant in one of the big four accounting companies, and before that as a teaching and research assistant. Bruno discovered tools such as Git and software carpentry techniques while working on his PhD. These tools and techniques served him well for the past decade, and Bruno has been consistently sharing his knowledge on his blog during that time.


Description: This workshop will present some of the tools and techniques that you can use to build reproducible analytical pipelines. We will also learn how to apply these techniques in R. Making sure that your work is reproducible is extremely important because making a pipeline  reproducible ensures that the code is of high quality, well-document and tested by design. This way, you won’t have problems communicating results and your collaborators, or future you, will have no trouble understanding the project and re-building it if an update is necessary. In case the project needs to be audited, setting it up as a reproducible analytical pipeline will also will make auditing easy!

It doesn’t matter if you work in research or in the private sector, if you train complex machine learning models or write reports that focus on descriptive statistics: any type of project in any sector can benefit from the ideas presented in this workshop. We will learn about functional and literate programming, and learn how to apply these in R, using {renv}, {targets} and Docker.


Minimal registration fee: 20 euro (or 20 USD or 800 UAH)



How can I register?



  • Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

  • Fill in the registration form, attaching a screenshot of a donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after donation).

If you are not personally interested in attending, you can also contribute by sponsoring a participation of a student, who will then be able to participate for free. If you choose to sponsor a student, all proceeds will also go directly to organisations working in Ukraine. You can either sponsor a particular student or you can leave it up to us so that we can allocate the sponsored place to students who have signed up for the waiting list.


How can I sponsor a student?


  • Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

  • Fill in the sponsorship form, attaching the screenshot of the donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after the donation). You can indicate whether you want to sponsor a particular student or we can allocate this spot ourselves to the students from the waiting list. You can also indicate whether you prefer us to prioritize students from developing countries when assigning place(s) that you sponsored.


If you are a university student and cannot afford the registration fee, you can also sign up for the waiting list here. (Note that you are not guaranteed to participate by signing up for the waiting list).



You can also find more information about this workshop series,  a schedule of our future workshops as well as a list of our past workshops which you can get the recordings & materials here.


Looking forward to seeing you during the workshop!













Published by

Dariia Mykhailyshyna

PhD Student in Economics at the University of Bologna

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