Author: Dariia Mykhailyshyna

PhD Student in Economics at the University of Bologna

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!





AI Use Cases for R Enthusiasts workshop

Join our workshop on AI Use Cases for R Enthusiasts, which is a part of our workshops for Ukraine series! 

Here’s some more info: 

Title: AI Use Cases for R Enthusiasts

Date: Thursday, May 9th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)

Speaker: Dr. Albert Rapp is a mathematician with a fascination for the blend of Data Analytics, Web Development, and Visualization. He applies his expertise as a business analyst, focusing on AI, cloud computing, and data analysis. Outside of his professional pursuits, Albert enjoys engaging with the community by sharing his insights and knowledge on platforms like LinkedIn, YouTube, and through his video courses.


Description: Everyone is talking about AI. And for good reasons: It’s a powerful tool that can enhance your productivity as a programmer as well as help you with automated data processing tasks. In this workshop, I share R-specific and general AI tools and workflows that I use for my programming, blogging and video projects. By the end of this session, participants will be equipped with fresh ideas and practical strategies for using AI in their own endeavors.


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 Causal Machine Learning estimators in R

Join our workshop on Introduction to Causal Machine Learning estimators in R, which is a part of our workshops for Ukraine series! 

Here’s some more info: 

Title: Introduction to Causal Machine Learning estimators in R

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

Speaker: Michael Knaus is Assistant Professor of “Data Science in Economics” at the University of Tübingen. He is working at the intersection of causal inference and machine learning for policy evaluation and recommendation.

Description: You want to learn about Double Machine Learning and/or Causal Forests for causal effect estimation but are hesitant to start because of the heavy formulas involved? Or you are already using them and curious to (better) understand what happens under the hood? In this course, we take a code first, formulas second approach. You will see how to manually replicate the output of the powerful DoubleML and grf packages using at most five lines of code and nothing more than OLS. After seeing that everything boils down to simple recipes, the involved formulas will look more friendly. The course establishes therefore how things work and gives references to further understand why things work.

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!

Using ChatGPT for Exploratory Data Analysis with Python, R and prompting workshop

Join our workshop on Using ChatGPT for Exploratory Data Analysis with Python, R and prompting, which is a part of our workshops for Ukraine series! 


Here’s some more info: 


Title:Using ChatGPT for Exploratory Data Analysis with Python, R and prompting


Date: Thursday, November 30th, 18:00 – 20:00 CET (Rome, Berlin, Paris timezone)


Speakers: Gábor Békés is an Associate Professor at the Department of Economics and Business of Central European University, a research fellow at KRTK in Hungary, and a research affiliate at CEPR. His research is focused on international economics; economic geography and applied IO, and was published among others by the Global Strategy Journal, Journal of International Economics, Regional Science and Urban Economics or Economic Policy and have authored commentary on VOXEU.org. His comprehensive textbook, Data Analysis for Business, Economics, and Policy with Gábor Kézdi was publsihed by Cambridge University Press in 2021.


Seth Stephens-Davidowitz is a data scientist and New York Times bestselling author. His 2017 book, Everybody Lies, on the secrets revealed in internet data, was a New York Times bestseller; a PBS NewsHour Book of the Year; and an Economist Book of the Year.  His 2022 book, Don’t Trust Your Gut, on how people can use data to best achieve their life goals, was excerpted in the New York Times, the Atlantic, and Wired.  Seth has worked as a data scientist at Google; a visiting lecturer at the Wharton School of the University of Pennsylvania; and a contributing op-ed writer for the New York Times.  Seth has consulted for top companies.  He received his BA in philosophy, Phi Beta Kappa, from Stanford, and his PhD in economics from Harvard.  


Description: How can GenAI, like ChatGPT augment and speed up data exploration? Is it true that we no longer need coding skills? Or, instead, does ChatGPT hallucinate too much to be taken seriously? I will do a workshop with live prompting and coding to investigate.  I will experiment with two datasets shared ahead of the workshop.  The first comes from my Data Analysis textbook and is about football managers. Here I’ll see how close working with AI will get to what we have in the textbook, and compare codes written by us vs the machine. Second, I’ll work with a dataset I have no/little experience with and see how far it takes me. In this case, we will look at descriptive statistics, make graphs and tables, and work to improve a textual variable.  It will generate code and reports, and I’ll then check them on my laptop to see if they work. The process starts with Python but then I’ll proceed with R.


Seth Stephens-Davidowitz is writing a book in 30 days using ChatGPT’s Data Analysis.  The book is called Who Makes the NBA? and is a statistical analysis of what it takes to reach the top of basketball. Seth will illustrate his experience with one of the case studies he had worked on. The Workshop will end with Seth and Gabor chatting about their experiences in what works well


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 frequency data models in R 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: Introduction to mixed frequency data models in R

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

Speaker:Jonas Striaukas, Jonas is an assistant professor of statistics and finance and Marie Skłodowska-Curie Action fellow at the Copenhagen Business School, Department of Finance. His main research interests are econometrics/statistics and applications of machine learning methods to financial and macro econometrics. In particular, Jonas research interests are regularized regression models for mixed frequency data and factor-augmented sparse regression models. Before joining the Copenhagen Business School in 2022, he was a research fellow at the Fonds de la Recherche Scientifique—FNRS and Université Catholique de Louvain, where he carried out my PhD under the supervision of prof. Andrii Babii (UNC Chapel Hill) and prof. Eric Ghysels (UNC Chapel Hill).

Description: The course will cover statistical models for mixed frequency data analysis and their applications using R statistical software. First, we will look into classical mixed frequency, called MIDAS, regression models and their applications to nowcasting. We will then cover multivariate models such vector autoregression (VAR) and their application in mixed frequency data settings. Lastly, we will cover regularized MIDAS regressions and its extension to factor-augmented regression case.

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!