Introduction to Supervised Text Classification in R workshop

Learn how to use supervised text classification in R! Join our workshop on Introduction to Supervised Text Classification in R which is a part of our workshops for Ukraine series. 


Here’s some more info: 


Title: Introduction to Supervised Text Classification in R


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


Speaker: Marius Sältzer is a Professor of Digital Social Science at the University of Oldenburg. He works on party competition and political communication, in particular on social media, using large-scale data collection and text analysis methods.


Description: Text analysis is a staple method in the social sciences and is increasingly influencing other areas in times of large language models. while transformers are very effective they are computationally expensive and lack intepretability. This course introduces supervised machine learning on textual data, including theoretical foundations of human annotation, distributional semantics and word embeddings. Based on quanteda, we apply text classification like Naïve Bayes and Neural Networks in R on a CPU-only laptop.


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 Propensity Score Analysis with R workshop

Learn how to use propensity score analysis in R! Join our workshop on Introduction to Propensity Score Analysis with R which is a part of our workshops for Ukraine series. 


Here’s some more info: 

Title: Introduction to Propensity Score Analysis with R

Date: Thursday, July 6th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)

Speaker: Dr. Jason Bryer is currently an Assistant Professor and Associate Director in the Data Science and Information Systems department at the City University of New York. He is currently the Principal Investigator of the FIPSE ($3 million #P116F150077) and IES funded ($3.8 million R305A210269) Diagnostic Assessment and Achievement of College Skills (DAACS), which is a suite of technological and social supports designed to optimize student learning. Dr. Bryer’s other research interests include quasi-experimental designs with an emphasis on propensity score analysis, data systems to support formative assessment, and the use of open source software for conducting reproducible research. He is the author of over a dozen R packages, including three related to conducting propensity score analyses. When not crunching numbers, Jason is a wedding photographer and proud dad to three boys.

Description: The use of propensity score methods (Rosenbaum & Rubin, 1983) for estimating causal effects in observational studies or certain kinds of quasi-experiments has been increasing in the social sciences (Thoemmes & Kim, 2011) and in medical research (Austin, 2008) in the last decade. Propensity score analysis (PSA) attempts to adjust selection bias that occurs due to the lack of randomization. Analysis is typically conducted in two phases where in phase I, the probability of placement in the treatment is estimated to identify matched pairs or clusters so that in phase II, comparisons on the dependent variable can be made between matched pairs or within clusters. R (R Core Team, 2012) is ideal for conducting PSA given its wide availability of the most current statistical methods vis-à-vis add-on packages as well as its superior graphics capabilities.

This workshop will provide participants with a theoretical overview of propensity score methods as well as illustrations and discussion of PSA applications. Methods used in phase I of PSA (i.e. models or methods for estimating propensity scores) include logistic regression, classification trees, and matching. Discussions on appropriate comparisons and estimations of effect size and confidence intervals in phase II will also be covered. The use of graphics for diagnosing covariate balance as well as summarizing overall results will be emphasized.


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 Mixed-effects Models in R workshop

Learn how to use mixed-effects models in R! Join our workshop on Introduction to Mixed-effects Models in R which is a part of our workshops for Ukraine series. 


Here’s some more info: 


Title: Introduction to Mixed-effects Models in R

Date: Thursday, June 22nd, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)

Speaker: Philip Leftwich is an Associate Professor of Genetics and Data Science at the University of East Anglia, Norwich, UK. He teaches R programming and statistics on various modules and workshops at undergraduate and postgraduate levels. His research interests include genetics, genomics and synthetic biology as tools to help combat agricultural and disease-carrying insect pests.

Description: Mixed-effects models are indispensable in analyzing data with hierarchical or nested structures. Unlike traditional linear regression models, mixed-effects models account for both fixed effects (applying to the entire population) and random effects (varying across groups). This unique capability allows researchers to examine how individual and group-level factors work together simultaneously, providing a comprehensive understanding of the data. In fields like social sciences, education, biology, and economics, where hierarchical data is prevalent, mixed-effects models significantly enhance the precision and reliability of statistical analyses. Mastering these models empowers researchers to extract valuable insights from complex datasets effectively.

In this introductory workshop, we will cover the basics of analyzing hierarchical data. Participants will learn about the difference between fixed and random effects, model formulation, estimation, and interpretation. We will discuss assumptions, model comparison and selection, practical implementation with R, and model validation. We will work through real-world examples to showcase the applications and benefits of mixed-effects models in various fields.

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 reproducible analytical pipelines in R workshop

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!













A toolbox for debugging and refactoring in R workshop

Learn how to debug and refactor in R! Join our workshop on  A toolbox for debugging and refactoring in R which is a part of our workshops for Ukraine series. 


Here’s some more info: 


Title: A toolbox for debugging and refactoring in R

Date: Thursday, June 8th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)

Speaker: Antoine Fabri is a data scientist, R consultant, R developper and teacher/coach at Cynkra in Zurich, Switzerland. Through his experience in the open source community, as an employee in various industries and as a consultant he had the opportunity to witness a lot of R code of varying context and quality, and write a fair amount on the way. The recurrent issues he faced led him to grow a collection of tools that he shares with the community.

Description: Debugging and refactoring are some of the most time consuming tasks a developper or data scientist encounter. They’re also not always pleasant. With the right approach and the right tools the experience can be much improved however and I intend to show we can soothe the pain a little, and hopefully even make it fun sometimes. I’d like to talk first a bit about my general approach to debugging and refactoring, review common issues and general tools, then show a glimpse of some of my own packages can be used to respectively understand and visualize the logic of your code (using {flow}), the structure of your objects (using {constructive}), and monitor the execution of your code (using {boomer}).

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



How can I register?


  • Go to https://bit.ly/3wvwMA6 or  https://bit.ly/3PFxtNA and donate at least 20 euro. Feel free to donate more if you can, all proceeds go directly to support Ukraine.
  • 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!












Intermediate Web Scraping and API Harvesting using R workshop

Learn how to use web scraping in R! Join our workshop on Intermediate Web Scraping and API Harvesting using R which is a part of our workshops for Ukraine series. 


Here’s some more info: 

Title: Intermediate Web Scraping and API Harvesting using R

Date: Thursday, June 15th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)

Speaker: Felix Lennert is a second-year Ph.D. student in Sociology at the CREST, ENSAE, Institut Polytechnique de Paris. He is a co-organizer of the Summer Institute of Computational Social Science in Paris. His research interests lie in the formation and polarization of political opinions which he tackles using a toolbox consisting of “classic” quantitative as well as text-as-data methods.

Description: Digital trace data are an integral element of CSS (cool social scientific) research. This course will show you how this is done on an intermediate level. This implies that we will not cover the fundamentals of selecting and downloading things from static web pages on the one hand, but also not go as far as firing up RSelenium to scrape dynamic web pages on the other. We will start with a brief revision of CSS selectors, then we move on to rvest to simulate a browser session, fill forms, and click buttons. In the second half of the session, APIs and how to make requests to them will be covered. Tangible examples for API queries will be shown. In the end, exemplary workflows will be introduced to provide a scaffolding for students’ future research projects.

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 RMarkdown/Quarto reports workshop

Learn how to automate RMarkdown and Quarto reports! Join our workshop on  Automating RMarkdown/Quarto reports which is a part of our workshops for Ukraine series. 


Here’s some more info: 

Title: Automating RMarkdown/Quarto reports

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

Speaker: Indrek Seppo, a seasoned R programming expert, brings over 20 years of experience from the academic, private, and public sectors to the table. With more than a decade of teaching R under his belt, Indrek’s passionate teaching style has consistently led his courses to top the student feedback charts and has inspired hundreds of upcoming data analysts to embrace R (and Baby Shark).

Description: For those who already know the basics of RMarkdown/Quarto, I invite you to delve into the world of report automation to streamline your workflow and enhance efficiency. This session will introduce the use of parameters, among other techniques, to create dynamic and customizable reports without repetitive manual work. Learn how to harness the power of R to generate tailored content for diverse audiences, effortlessly updating data, analyses, and visualizations with just a few clicks. 


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!











RMarkdown and Quarto – Mastering the Basics workshop

Learn how to use RMarkdown and Quarto! Join our workshop on RMarkdown and Quarto – Mastering the Basics which is a part of our workshops for Ukraine series. 

Here’s some more info: 

Title: RMarkdown and Quarto – Mastering the Basics

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

Speaker: Indrek Seppo, a seasoned R programming expert, brings over 20 years of experience from the academic, private, and public sectors to the table. With more than a decade of teaching R under his belt, Indrek’s passionate teaching style has consistently led his courses to top the student feedback charts and has inspired hundreds of upcoming data analysts to embrace R (and Baby Shark).

Description: Discover the power of RMarkdown and its next-generation counterpart, Quarto, to create stunning reports, slides, dashboards, and even entire books—all within the RStudio environment. This session will cover the fundamentals of markdown, guiding you through the process of formatting documents and incorporating R code, tables, and graphs seamlessly. If you’ve never explored these tools before, prepare to be amazed by their capabilities. Learn how to generate reproducible reports and research with ease, enhancing your productivity and efficiency in the world of data 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!










Working with Big Data with Hadoop and Spark workshop

Learn how to work with Big Data with Hadoop and Spark! Join our workshop on Working with Big Data with Hadoop and Spark which is a part of our workshops for Ukraine series. 

Here’s some more info:

Title: Working with Big Data with Hadoop and Spark

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

Speaker: Jannic Cutura is an economist turned data engineer turned software engineer who works as a Python developer at the European Central Bank’s Stress Test team. Prior to his current position he worked as research analyst/data engineer in the financial stability and monetary policy divisions of the ECB. He holds a masters and Ph.D. in quantitative economics from Goethe University Frankfurt and conducted research projects at the BIS, the IMF and Columbia University.

Description: Big data — datasets that are difficult to handle on standalone retail-grade computers — are rapidly becoming the norm in social science research. This is true both in academia as well as for policy-oriented research in central banks and similar bodies (let alone industry application). Yet traditional econometrics (and econometrics training) tells us little about how to efficiently work with large datasets. In practice, any data set larger than the researchers computer memory (~20- 30GB) is very challenging to handle as, once that barrier is crossed, most data manipulation tasks becomes painfully slow and prone to failure. The goal of this presentation is to (i) explain what happens under the hood when your computer gets slow and (ii) show how distributed computing (in particular Hadoop/Spark) can help to mitigate those issues. By the end, participants will understand the power of distributed computing and how they can use it to both tackle existing data handling challenges and as well as new ones that were previously prohibitively expensive to evaluate on retail grade computers. The workshop will both contain a theory part and a lab session using data bricks. If you want to follow along during the live session you can create your own free account at data bricks by signing up for the community edition (no credit card required).

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 Deep Learning with R workshop

Learn how to use deep learning in R Join our workshop on Introduction to Deep Learning with R which is a part of our workshops for Ukraine series. 


Here’s some more info: 

Title: Introduction to Deep Learning with R

Date: Thursday, May 4th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)

Speaker: Eran Raviv is an expert researcher at APG Asset Management, working for the Digitalization & Innovation department. His academic papers are published in top-tier journals. In his present role, Dr. Raviv helps the organization develop its Data Science capabilities and he is engaged in both strategic planning and leading bottom-up initiatives.

Description: The purpose of this workshop is to offer an introductory understanding of deep learning, regardless of your prior experience. It is important to note that this workshop is tailored to those who are absolute beginners in the field. We therefore begin with few necessary fundamental concepts, after which we cover the basics of deep learning, including topics such as what is actually being learned in deep learning, what makes it “deep,” and why it is such a popular field. We will also cover how you can estimate deep learning models in R using the neuralnet package. You should attend this workshop if you heard about deep learning and would like to know more about 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!