Visualizing Variance with Sankey diagrams/Riverplots using R: An Illustration with Longitudinal Multi-level Modeling workshop

Join our workshop on Visualizing Variance with Sankey diagrams/Riverplots using R: An Illustration with Longitudinal Multi-level Modeling, which is a part of our workshops for Ukraine series! 


Here’s some more info: 

Title: Visualizing Variance with Sankey diagrams/Riverplots using R: An Illustration with Longitudinal Multi-level Modeling

Date: Thursday, November 26th, 18:00 – 20:00 CET (Rome, Berlin, Paris timezone)

Speaker: Daniel P. Moriarity, PhD is a clinical psychologist with a particular interest in immunopsychiatry, psychiatric phenotyping, and methods reform in biological psychiatry. He currently works as a Postdoctoral Fellow in the UCLA Laboratory for Stress Assessment and Research with Dr. George Slavich. Starting January 2025, he will join the University of Pennsylvania’s Psychology Department as an Assistant Professor of Clinical Psychology.

Description: This workshop will illustrate how to create Sankey diagrams/Riverplots with a focus on longitudinal multilevel modeling to separately visualize between-person and within-person variance. However, the technique can be applied to many other visualizations of different sources of variance (e.g., different variables, random vs. fixed effects). Data + code templates will be provided to follow along with.

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

Please note that the registration confirmation email will be sent 1 day before the workshop.

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!

Introduction to Bayesian Structural Equation Modeling in R workshop

Join our workshop on Introduction to Bayesian Structural Equation Modeling in R, which is a part of our workshops for Ukraine series! 

Here’s some more info: 

Title: Introduction to Bayesian Structural Equation Modeling in R

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

Speaker: Esteban Montenegro-Montenegro serves as a professor and researcher at California State University, Stanislaus. He holds a doctoral degree in Educational Psychology with a concentration in Research, Methods, Statistics, and Evaluation from Texas Tech University. Currently, Dr. Montenegro devotes his time to teaching foundational topics in statistics using R. Moreover, he is actively engaged in learning and instructing advanced concepts in Bayesian inference and latent variable models.

Description: The workshop is designed to offer an introductory overview of Structural Equation Modeling (SEM) in R, followed by a simplified explanation of Bayesian inference through various examples. In the latter part of the workshop, participants will learn to estimate a Bayesian SEM model using the blavaan package in R. This workshop is ideal for those seeking a user-friendly introduction to SEM and Bayesian inference in R. Basic skills in R, such as opening datasets, understanding objects, functions, and loops, are assumed due to time constraints. Comprehensive materials and additional examples will be provided for further practice at home.

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!

Polytomous Latent Class Analysis and Regression in R workshop

Join our workshop on Polytomous Latent Class Analysis and Regression in R which is a part of our workshops for Ukraine series! 

Here’s some more info: 

Title: Polytomous Latent Class Analysis and Regression in R

Date: Wednesday, July 3rd, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)

Speaker: Lana Bojanić is a research associate and PhD candidate at the University of Manchester. With over 7 years of experience using R, she is also a co-founder of the R user group at the University of Manchester and R Ladies Zagreb, Croatia. Lana is passionate about introducing people to R and supporting them during their transition to full-time R users.

Description: Polytomous (multi-category) data is common in many fields that utilise surveys, tests or- assessments. This workshop will deal with latent class analysis and latent class regression analysis of this data type, using PoLCA package. Furthermore, we will cover the necessary data preparation for this analysis, specifying the model, and calculating/extracting fit values. Finally, we will look into different ways of plotting results for this analysis.

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!

Making tables in R with the gt package workshop

Join our workshop on Making tables in R with the gt package, which is a part of our workshops for Ukraine series! 

Here’s some more info: 

Title: Making tables in R with the gt package

Date: Thursday, June 13th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone) 

Speaker: Rich Iannone, Rich is a software engineer that enjoys working with R and Python. He likes to create packages that help people to accomplish things. While Rich very clearly digs programming, he enjoys other things as well! Examples include: playing and listening to music, reading books, watching films, meeting up with friends, and wandering through the many valleys and ravines of the Greater Toronto Area.

Description: The goal of the {gt} package is to make building tables for publication a hassle-free process while giving you the freedom to be creative. If you’re familiar with {ggplot2}, the feel of working with {gt} isn’t too far off. Join this workshop for background on the goals of {gt} and an extensive tour of its features by the package developer. There are a lot of functions in this package but we’ll go through the most important ones and learn how to make beautiful tables!

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!

Conducting Simulation Studies in R workshop

Join our workshop on Conducting Simulation Studies in R, which is a part of our workshops for Ukraine series! 

Here’s some more info: 

Title: Conducting Simulation Studies in R

Date: Thursday, May 23rd, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)

Speaker: Greg Faletto is a statistician and data scientist at VideoAmp, where he works on causal inference. Greg completed his Ph.D. in statistics at the University of Southern California in 2023. His research focused on developing machine learning methods has been published in venues like the International Conference on Machine Learning and the Proceedings of the National Academy of Sciences. Greg has taught classes at USC on data science and communicating insights from data, and he has previously presented his research and led workshops at venues including USC, the University of California San Francisco, the University of Copenhagen, Data Con LA, and IM Data Conference.

Description: In simulation studies (also known as Monte Carlo simulations or synthetic data experiments), we generate data sets according to a prespecified model, perform some calculations on each data set, and analyze the results. Simulation studies are useful for testing whether a methodology will work in a given setting, assessing whether a model “works” and diagnosing problems, evaluating theoretical claims, and more. In this workshop, I’ll walk through how you can use the R simulator package to conduct simple, reproducible simulation studies. You’ll learn how to carry out the full process, including making plots or tables of your results.


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!

Optimal policy learning based on causal machine learning in R workshop

Join our workshop on Optimal policy learning based on causal machine learning in R, which is a part of our workshops for Ukraine series! 


Here’s some more info: 

Title: Optimal policy learning based on causal machine learning in R

Date: Thursday, May 16th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)

Speaker: Martin Huber earned his Ph.D. in Economics and Finance with a specialization in econometrics from the University of St. Gallen in 2010. Following this, he served as an Assistant Professor of Quantitative Methods in Economics at the same institution. He undertook a visiting appointment at Harvard University in 2011–2012 before joining the University of Fribourg as a Professor of Applied Econometrics in 2014. His research encompasses methodological and applied contributions across various fields, including causal analysis and policy evaluation, machine learning, statistics, econometrics, and empirical economics. Martin Huber’s work has been published in academic journals such as the Journal of the American Statistical Association, the Journal of the Royal Statistical Society B, the Journal of Econometrics, the Review of Economics and Statistics, the Journal of Business and Economic Statistics, and the Econometrics Journal, among others. He is also the author of the book “Causal Analysis: Impact Evaluation and Causal Machine Learning with Applications in R.”

Description: Causal analysis aims to assess the causal effect of a treatment, such as a training program for jobseekers, on an outcome of interest, such as employment. This assessment requires ensuring comparability between groups receiving and not receiving the treatment in terms of outcome-relevant background characteristics (e.g., education or experience). Causal machine learning serves two primary purposes: (1) generating comparable groups in a data-driven manner by detecting and controlling for characteristics that significantly affect the treatment and outcome, and (2) assessing the heterogeneity of treatment effects across groups differing in observed characteristics. Closely related to effect heterogeneity analysis is optimal policy learning, which seeks to optimally target specific subgroups with treatment based on their observed characteristics to maximize treatment effectiveness. This workshop introduces optimal policy learning based on causal machine learning, facilitating (1) data-driven segmentation of a sample into subgroups and (2) optimal treatment assignment across subgroups to maximize effectiveness. The workshop also explores applications of this method using the statistical software “R” and its interface “R Studio.”

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!





Creating R packages for data analysis and reproducible research workshop

Join our workshop on Creating R packages for data analysis and reproducible research, which is a part of our workshops for Ukraine series! 


Here’s some more info: 


Title: Creating R packages for data analysis and reproducible research

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

Speaker: Fred Boehm is a biostatistics and translational medicine researcher living in Michigan, USA. His research focuses on statistical questions that arise in human genetics studies and their applications to clinical medicine and public health. He has extensive teaching experience as a statistics lecturer at the University of Wisconsin-Madison (https://www.wisc.edu) and as a workshop instructor for The Carpentries (https://carpentries.org/index.html). He enjoys spending time with his nieces and nephews and his two dogs. He also blogs (occasionally) at https://fboehm.us/blog/.

Description: Participants will learn to use functions from several packages, including `devtools` and `rrtools`, in the R ecosystem, while learning and adhering to practices to promote reproducible research. Participants will learn to create their own R packages for software development or data analysis. We will also motivate the need to follow reproducible research practices and will discuss strategies and open source tools.


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!


Factor Analysis in R workshop

Join our workshop on Factor Analysis in R, which is a part of our workshops for Ukraine series! 

Here’s some more info: 

Title: Factor Analysis in R

Date: Thursday, February 1st, 18:00 – 20:00 CET (Rome, Berlin, Paris timezone)

Speaker: Gagan Atreya is a quantitative social scientist and data science consultant based in Los Angeles, California. He has graduate degrees in Experimental Psychology and Quantitative Political Science from The College of William & Mary in Virginia and The University of Minnesota respectively. He has multiple years of experience in data analysis and visualization in the social sciences – both as a researcher and a consultant with faculty and researchers around the world. You can find him in Bluesky at @gaganatreya.bsky.social.

Description: This workshop will go through the basics of Exploratory and Confirmatory Factor Analysis in the R programming language. Factor Analysis is a valuable statistical technique widely used in Psychology, Economics, Political Science, and related disciplines that allows us to uncover the underlying structure of our data by reducing it to coherent factors. The workshop will heavily (but not exclusively) utilize the “psych” and “lavaan” packages in R. Although open to everyone, a beginner level familiarity with R and some background/interest in survey data analysis will be ideal to make the most out of this workshop.

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!



Automating updates to dashboards on Shiny Server workshop

Join our workshop on Automating updates to dashboards on Shiny Server, which is a part of our workshops for Ukraine series! 

Here’s some more info: 

Title: Automating updates to dashboards on Shiny Server

Date: Thursday, January 25th, 18:00 – 20:00 CET (Rome, Berlin, Paris timezone)

Speaker: Clinton Oyogo David is a data scientist with 7 years of experience currently working with Oxford Policy Management (OPM) under the Research and Evidence, data innovations team. Prior to joining OPM I was working at World Agroforestry Centre as a junior data scientist in the Spatial Data Science and Applied Learning Lab.

Description: In this workshop, we will talk about the configurations and set ups needed to have an automated update to R Shiny dashboards deployed on a shiny server. The talk will touch on GitHub webhooks, API (Django) and bash scripting. With the set-up in place one will not need to manually update the code on shiny server, a push event to github will be enough to have your changes to the code reflect on the dashboard in a matter of seconds.

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!

Customizing slides and documents using Quarto extensions workshop

Join our workshop on  Introduction to mixed frequency data models in R, which is a part of our workshops for Ukraine series! 


Here’s some more info: 


Title: Customizing slides and documents using Quarto extensions

Date: Thursday, January 11th, 18:00 – 20:00 CET (Rome, Berlin, Paris timezone)

Speaker:Nicola Rennie is a Lecturer in Health Data Science based within the Centre for Health Informatics, Computing, and Statistics at Lancaster Medical School. Her research interests include applications of statistics and machine learning to healthcare and medicine, communicating data through visualisation, and understanding how we teach statistical concepts. Nicola also has experience in data science consultancy and collaborates closely with external research partners. She can often be found at data science meetups, presenting at conferences, and is the R-Ladies Lancaster chapter organiser.


Description: Quarto is an open-source scientific and technical publishing system that allows you to combine text with code to create fully reproducible documents in a variety of formats. The addition of custom styling to documents can make them look more professional and recognisable. In the first half of this workshop, we’ll look at ways to customise HTML outputs (including documents and revealjs slides) using CSS, and ways to customise PDF documents using LaTeX. In the second half, we’ll discuss the use of Quarto extensions as a way of sharing customised templates with others, demonstrate how to install and use extensions, and show the process of building your own custom style extension.


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!