Network Analysis with R workshop

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

Here’s some more info: 

Title: Network Analysis with R

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

Speaker: David Schoch is the team lead for “Transparent Social Analytics” in the Department Computational Social Science at GESIS in Cologne. Before joining GESIS, David was a Presidential Fellow in the Department of Sociology at the University of Manchester, affiliated with the “Mitchell Centre for Social Network Analysis”. He has a PhD in Computer Science from the University of Konstanz and is the creator and maintainer of several network analysis R packages.

Description: Network analysis is a multidisciplinary field that delves into the intricate web of connections and interactions among entities, whether they are individuals, organizations, or nodes in a complex system. By employing graph theory, statistical methods, and computational tools, network analysis unveils the hidden patterns, structures, and dynamics that underlie these relationships.

In this workshop, I will introduce the package ecosystem for network analysis in R. I provide an overview of the key packages to conduct network studies and discuss some practical aspects. No network theory will be introduced, but I provide pointers for those who are interested to learn more beyond practical skills.

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!


Introduction to Topic Modelling in R and Python workshop

Join our workshop on Introduction to Topic Modelling in R and Python, which is a part of our workshops for Ukraine series! 


Here’s some more info: 

Title: Introduction to Topic Modelling in R and Python

Date: Thursday, October 19th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)

Speaker: Christian Czymara is a postdoc fellow at Tel Aviv University. His research focuses on attitudes, immigration, and political communication using quantitative and computational methods as well as natural language processing.

Description: This workshop offers an in-depth exploration of topic models, which allow extracting meaningful insights from extensive text corpora while minimizing the reliance on prior assumptions or annotated data. The workshop will start with the basics of text data preprocessing and progress to a general understanding of the underlying principles of topic modeling. It will cover a range of topic modeling techniques, such as Structural Topic Models, BiTerm, and Keyword Assisted Topic Models in R, and BERTopic in Python. We will explore the cases where each model is particularly promising. Participants will learn about the practical considerations when choosing a topic modeling algorithm, and how to apply these techniques to their own data. The lecture will be of interest to researchers and practitioners who are interested in extracting insights from large volumes of textual data, such as social media, news articles, or scientific publications.

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!



Introduction to Qualitative Comparative Analysis (QCA)

Join our workshop on Introduction to Qualitative Comparative Analysis (QCA) using R, which is a part of our workshops for Ukraine series! 


Here’s some more info: 

Title: Introduction to Qualitative Comparative Analysis (QCA) using R

Date: Thursday, October 5th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)

Speaker: Ingo Rohlfing, Ingo Rohlfing is Professor of Methods of Empirical Social Research at the University of Passau. He is doing research on social science methods with a focus on qualitative methods (case studies and process tracing), Qualitative Comparative Analysis, multimethod research and research integrity.

Description: What are the conditions that produce stable coalition governments? What conditions are necessary for married couples not getting divorced? If you are interested in research questions like these or similar ones, QCA should be one of the first methods to consider for answering them. QCA is the go-to method for analyzing set relationships using any number of cases (small, medium, large) and with any kind of data (micro, meso, macro).

The participants of this course are introduced to the fundamentals of set relations and QCA, and the workflow of a QCA study using R. You are be introduced to the basic principles and requirements of coherent QCA designs and learn how to implement them using R. We cover all fundamental steps of a QCA study, including calibration; a necessity analysis (potentially); truth table formation; truth table minimization and interpretation of 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!

Deep Learning with torch in R workshop

Join our workshop on Introduction to Deep Learning with torch in R, which is a part of our workshops for Ukraine series! 


Here’s some more info: 


Title: Deep Learning with torch in R

Date: Thursday, September 28th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)

Speaker: Daniel Falbel, Daniel is a software engineer at Posit and maintains the ‘torch’ R package and its ecosystem. He previously maintained the TensorFlow and Keras packages.

Description: Deep Learning has grown exponentially in recent years and has powered breakthroughs in fields such as computer vision and natural language processing. In this workshop you will learn the basics of torch and its ecosystem, build and train deep learning models with torch.

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!




An Introduction to Bayesian A/B Testing in Stan, R, and Python workshop

Join our workshop on Introduction to An Introduction to Bayesian A/B Testing in Stan, R, and Python, which is a part of our workshops for Ukraine series! 

Here’s some more info: 

Title: An Introduction to Bayesian A/B Testing in Stan, R, and Python

Date: Thursday, September 14th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)

Speaker: Jordan Nafa is a Data Scientist at Game Data Pros, Inc. where his work centers around Bayesian A/B Testing, stochastic optimization, and applied causal inference for revenue optimization, promotional pricing, and personalized targeting in video games. He is also a Ph.D. Candidate in Political Science at the University of North Texas where he previously taught undergraduate courses in causal inference, applied statistics, and American political behavior.

Description: This workshop will cover a basic introduction to Bayesian inference, A/B Testing, and decision theory for the analysis of large-scale field experiments in industry settings. After introducing the foundations of the Bayesian approach to A/B Testing, we will work through real-world examples using the probabilistic programming language Stan along with its R and Python interfaces.

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!



Introduction to Qualitative Comparative Analysis (QCA) using R workshop

Join our workshop on Introduction to Qualitative Comparative Analysis (QCA) using R, which is a part of our workshops for Ukraine series! 

Here’s some more info: 

Title: Introduction to Qualitative Comparative Analysis (QCA) using R

Date: Thursday, August 31st, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)

Speaker: Ingo Rohlfing, Ingo Rohlfing is Professor of Methods of Empirical Social Research at the University of Passau. He is doing research on social science methods with a focus on qualitative methods (case studies and process tracing), Qualitative Comparative Analysis, multimethod research and research integrity.

Description:What are the conditions that produce stable coalition governments? What conditions are necessary for married couples not getting divorced? If you are interested in research questions like these or similar ones, QCA should be one of the first methods to consider for answering them. QCA is the go-to method for analyzing set relationships using any number of cases (small, medium, large) and with any kind of data (micro, meso, macro).

The participants of this course are introduced to the fundamentals of set relations and QCA, and the workflow of a QCA study using R. You are be introduced to the basic principles and requirements of coherent QCA designs and learn how to implement them using R. We cover all fundamental steps of a QCA study, including calibration; a necessity analysis (potentially); truth table formation; truth table minimization and interpretation of 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!


Preparing Data for Modeling Using the Recipes R Package workshop

Join our workshop on Preparing Data for Modeling Using the Recipes R Package, which is a part of our workshops for Ukraine series! 


Here’s some more info: 


Title:Preparing Data for Modeling Using the Recipes R Package

Date: Thursday, August 24th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)

Speaker: Max Kuhn is a software engineer at Posit (née RStudio). He is working on improving R’s modeling capabilities and maintaining about 30 packages, including caret. He was a Senior Director of Nonclinical Statistics at Pfizer and had been applying models in the pharmaceutical and diagnostic industries for over 18 years. Max has a Ph.D. in Biostatistics. He, and Kjell Johnson, wrote the book Applied Predictive Modeling, which won the Ziegel award from the American Statistical Association. Their second book, Feature Engineering and Selection, was published in 2019, and his book Tidy Models with R, was published in 2022.

Description:This workshop will illustrate of the recipes package (part of the tidymodels ecosystem) can be used to prepare your data for modeling. Recipes are part model.matrix() and part dplyr; they can sequentially execute pre-processing steps to create the best representation of the predictor data for a model.

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!

Building Websites in R with Distill workshop

Join our workshop on Building Websites in R with Distill, which is a part of our workshops for Ukraine series! 


Here’s some more info: 


Title: Building Websites in R with Distill

Date: Thursday, August 17th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)

Speaker: Jenny Sloane, postdoc fellow in Health Services Research and Development at the Center for Innovations in Quality, Effectiveness and Safety, which is associated with the Houston VA and Baylor College of Medicine. I received my PhD in cognitive psychology from University of New South Wales. My research interests include improving diagnostic decision-making, reducing errors in medicine, and studying the effects of interruptions and time-pressure on decision-making.

Description: This will be an interactive webinar where we will build a website from scratch in R using the distill package. By the end of the webinar, you will have a fully functioning and live website. I will also show you some cool tips and tricks that I have learned through my experiences building websites in R.

Additional information: If you wish to follow along and build your own website, please make sure to have R, RStudio, and Git installed and please have a GitHub account set up ahead of time.

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!

An Open Source Framework for Choice Based Conjoint Experiments in R workshop

Join our workshop on An Open Source Framework for Choice Based Conjoint Experiments in R, which is a part of our workshops for Ukraine series! 


Here’s some more info: 


Title:An Open Source Framework for Choice Based Conjoint Experiments in R


Date: Thursday, August 10th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)


Speaker: John Paul Helveston, John Paul (JP) is an Assistant Professor at George Washington University in the Department of Engineering Management and Systems Engineering. His research focuses on understanding how consumer preferences, market dynamics, and policy affect the emergence and adoption of low-carbon technologies, such as electric vehicles and renewable energy technologies. He also studies the critical relationship between the US and China in developing and mass producing these technologies. He has expertise in discrete choice modeling, conjoint analysis, exploratory data analysis, interview-based research methods, and the R programming language. He speaks fluent Mandarin Chinese and has conducted extensive fieldwork in China. He is also an accomplished violinist and swing dancer. John holds a Ph.D. and M.S. in Engineering and Public Policy from Carnegie Mellon University and a B.S. in Engineering Science and Mechanics (ESM) from Virginia Tech.


Description: Choice based conjoint (CBC) experiments are a critical tool for measuring preferences, yet most practitioners rely on closed source enterprise software to design and implement their survey experiments. This presentation will demonstrate an open source framework for implementing CBC experiments in R. The framework includes designing and testing the experiment with the cbcTools package, implementing the survey with the formr.org survey platform, and modeling results with the logitr package. Combined, the three tools offer a free and fully open source approach to the entire CBC experiment workflow. The framework is also quite flexible and can be integrated into workflows that use enterprise software with relative ease.


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!

Using Spatial Data with R Shiny workshop

Join our workshop on Using Spatial Data with R Shiny, which is a part of our workshops for Ukraine series! 


Here’s some more info: 


Title: Using Spatial Data with R Shiny


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


Speaker: Michael C. Rubin, is an Engineer, MIT Data Scientist and Co-Founder of Open Digital Agriculture (former ODAPES), a Start-up with the mission of democratizing Digital Agriculture. Open Digital Agriculture leverages R-Shiny, along with GIS technology and Artificial Intelligence to include the overlooked 540 Million smallholder farmers into the digital transformation. Michael was a 2 times speaker at the global R-Shiny conference.


Description: This workshop is about how to use R-Shiny in the context of geographic information systems (GIS). We will initially cover the R Leaflet package and learn how geographic information, from points to raster files, can be displayed in an R-Shiny app. During the work, we will develop a nice R-Shiny App, which allows us not only to display, but also to manipulate GIS related data. On the way there, we will touch some interesting Geostatistical concepts. Knowledge in R is required to follow the course and previous exposure to R-Shiny and some GIS techniques would be helpful, but you can follow the course even without it.


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!