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uRos2020 virtual event 2-4 December 2020

The annual conference on the Use of R in Official Statistics will be organized as a virtual event, 2-4 December 2020. Details about the format and the programme will be announced soon.

Over the last two decades R has become the lingua franca for statisticians, methodologists and data scientists worldwide. The reasons why the official statistics community is rapidly embracing R are clear: it has an active worldwide community of users, there is wide support from the industry and it combines a vast amount of functionalities for data preparation, methodology, visualisation and application building. Moreover, R-based software is exchanged through strictly enforced technical standards: “R is probably the most thoroughly validated statistics software on Earth.” – Uwe Ligges, CRAN maintainer (useR!2017).

Finally, R is a free (libre) Open Source software product, making it an ideal environment for sharing, collaboration and industrialising official statistics.

The annual event “use of R in Official Statistics” started as a local conference at the Statistical Office of Romania in 2013, with the first international edition being held at that same office in 2014. In 2018, Statistics Netherlands hosted the sixth edition of this event, which brought together official statisticians, scientists, and prominent members of the R community to share ideas on using and developing R tools in the area of official statistics.

Now it is Statistics Austria’s turn to host this stimulating meeting and we very much look forward to welcoming you to Vienna in 2020.


You can browse all the accepted abstracts at

Important dates

  • 2-4 December 2020: Scientific conference
  • 15 January 2021: Journal paper submission deadline

Keynote Speakers

We are happy to have two excellent keynote talks by Isabel Molina Peralta and Matthias Templ.

Isabel Molina Peralta

is associate professor at the Department of Statistics of Universidad Carlos III de Madrid since 2009. She got her Ph. D. in Statistics and Operations Research in 2003 at Universidad Miguel Hernández de Elche. She has published more than 30 papers in peer-reviewed statistical journals, most of them on small area estimation, and has received several awards. She is currently associate editor for the scientific journals “Survey Methodology” and “Journal of Survey Statistics and Methodology”. She is co-author, together with J.N.K. Rao, of the Wiley book “Small area estimation, 2nd Ed.”

“Small area estimation using R, with application to poverty mapping.”

Small area estimation is a promising, but also well established and well developed family of methods to gain insights on detailed domains or areas. Not widely used in statistical offices yet, available resources in R provide an opportunity to change that. Existing R packages designed for small area estimation with a special focus on the applicability for poverty mapping are reviewed. Applications to poverty mapping are presented to illustrate some of the available functions.

Matthias Templ

made his PhD in technical mathematics and the venia legendi (habilitation) in statistics at the Vienna University of Technology (TU Wien). He was associated professor at the TU Wien and consultant at the Palacky University Olomouc. He is employed by the Institute for Data Analysis and Process Design at the Zurich University of Applied Sciences, where he teaches and research in the area of statistical modelling and data science.
His main research interests include computational statistics, compositional data analysis, imputation and statistical disclosure control. He published more than 50 papers in well-known indexed scientific journals and he is author of several R packages.
Matthias Templ is editor-in-chief of the Austrian Journal of Statistics.

“Functional data analysis in Bayes Spaces with an Application to spatio-temporal population data”

Probability density functions are frequently used to characterize the distributional properties of large-scale database systems. As functional compositions, densities carry primarily relative information. As such, standard methods of functional data analysis (FDA) are not appropriate for their statistical processing and thus a compositional alternative is proposed. The aim of this presentation is to outline a concise methodology for functional principal component analysis of densities based on the geometry of the Bayes space B2 of functional compositions. Advances of the proposed approach are demonstrated using a real-world example of population pyramids in Upper Austria. For compositional analysis we also introduce the R package robCompositions.


Time from the programme is Central European Time (CET) (GMT+1).

Download the detailed programme: Detailed_Programme_Virtual_uRos2020.pdf

2 December 2020

Event morning link:
(Event password: veQcy8P57tK)
Youtube Live link:
Facebook Live link:
09:50 – 10:00 Opening
10:00 – 11:00 Small area estimation using R, with application to poverty mapping – Isabel Molina Peralta
11:00 – 12:30 Methods for official statistics

Event afternoon link:
(Event password: tuDjpZfY575)
Youtube Live link:
Facebook Live link:
14:00 - 15:30 Classification and lightning talks

3 December 2020

Event morning link:
(Event password: 8Aryi32PZJB)
Youtube Live link:
Facebook Live link:
10:00-11:00 Functional data analysis in Bayes Spaces with an Application to spatio-temporal population data – Matthias Templ
11:00 - 12:30 Dissemination and visualization

Event afternoon link:
(Event password: 4Jm2DEuh2i7)
Youtube Live link:
Facebook Live link:
14:00 - 15:30 R in the Organization and in Production

4 December

Event morning link:
(Event password: n57YJWJr8sF)
10:00 - 11:30 R for web and other data
11:30 – 11:40 Goodbye and outlook

Pre-recorded scientific session

timeseriesdb - Manage, Archive and Version Time Series with R and PostgreSQL
Matthias BANNERT, KOF Swiss Economic Institute, Switzerland

Estimating The Disaggregated Regional Official Statistics in Indonesia using EBLUP Benchmark-Small Area Estimation Method
Ika Yuni WULANSARI, STIS Polytechnic of Statistics-BPS Statistics Indonesia

Integrated Weighting and Estimation System for Household Surveys with Complex Sampling Design
Emanuel CIARDULLO, National Institute of Statistics and Censuses, Argentina
Gregorio GARCIA, National Institute of Statistics and Censuses, Argentina
Gonzalo MARÍ, National Institute of Statistics and Censuses, Argentina
Gerardo MITAS, National Institute of Statistics and Censuses, Argentina

Calif – shiny application for calibration of weights of statistical surveys
Boris FRANKOVIČ, Statistical Office of the Slovak Republic

Efficient Autocoding Method in High Dimensional Space
Yukako TOKO, National Statistics Center, Japan
Mika SATO-ILIC, National Statistics Center, Japan / University of Tsukuba

R script for the development of Cyclic Indicator Systems based on Multivariate Spectral Analysis Alfredo BUSTOS, INEGI - National Institute of Statistics and Geography, Mexico
Noemí LÓPEZ, INEGI - National Institute of Statistics and Geography, Mexico

Business Cycle Tracer of Turkey using R
Mualla Gizem UMUT DOGAN, Turkish Statistical Institute, Turkey

IcaRius – A (Not So) Serious Game To Learn R Differently
Arnaud DEGORRE, INSEE, France


No registration necessary. The conference will be organized as online event with free access for everybody. The information on how to access the different sessions will be posted on this website.

Call for abstracts - presentations

We are cordially inviting you to submit papers to and attend the International Conference The Use of R in Official Statistics – uRos2020 until 15 January 2020.

There will be two kind of presentations “contributed presentations” with roughly 15 minutes time slots and “lighting presentations” with 5 minutes time slots and automatic cycling through the slides. Please indicate your preference, but the scientific committee will finally assign the presentations into the two categories.

The purpose of the conference is to provide a public forum for researchers from academia and institutes of official (government) statistics to present, exchange ideas and discuss developments in state-of-the-art statistical software commonly used in applied economics and statistics. The most focused debates are expected to be on the use of R in Official Statistics.

The topics covered by the conference are the following:
* R in census
* Sampling and estimation
* R in organization
* Data cleaning
* R in production: data analysis
* Methods for official statistics
* Shiny applications
* Time series
* Report and GUI programming
* R in production: automation
* Big data
* Dissemination and visualization

The participants are kindly asked to submit the abstract via e-mail to: uRos2020 [at] preferably as plain text or Word or PDF, there is no template for the abstract submission.

Call for abstracts - tutorials

Tutorials will be 3 hours in length. Tutorials will be presented during the first day, during parallel sessions in the morning and in the afternoon. The scope of the tutorials comprises the whole statistical production process of official statistics. Deadline for tutorial submission is 15 January 2020.

Papers for Special Journal Issues

Authors with an accepted abstract can submit a full-length paper for a journal special issue as described hereinafter. A maximum of ten selected research papers will be published in a special issue of the Romanian Statistical Review. Publications are subjected to passing the standard peer review process.

Papers should be submitted no later than 15 June 2020 15 January 2021 to the uRos2020 secretariat via e-mail to: uRos2020 [at]

Please make sure to follow the RSR author guidelines.

About the journal

The Romanian Statistical Review is included in the Web Of Science Core Collection - Emerging Sources Citation Index (ESCI), a Clarivate Analytics database. It aims to provide a favourable space for exchange of ideas and a challenge at the same time. Any paper that can contribute to the understanding of statistics as a science is welcome. It is open-access without any fees.


The presentations are uploaded in a separate page: link


Organizing committee

  • Alexander Kowarik (Statistics Austria)
  • Bernhard Meindl (Statistics Austria)
  • Markus Fröhlich (Statistics Austria)
  • Thomas Burg (Statistics Austria)
  • Ana Maria Ciuhu (Statistics Romania)
  • Bogdan Oancea (Statistics Romania, University of Bucharest)
  • Ciprian Alexandru (Statistics Romania, Ecological University of Bucharest)
  • Nicoleta Caragea (Statistics Romania, Ecological University of Bucharest)
  • Mark van der Loo (Statistics Netherlands)

Scientific Board

  • Tudorel Andrei (President, National Institute of Statistics - Romania)
  • Matthias Templ (ZHAW school of engineering, Switzerland)
  • Adrian Dusa (University of Bucharest, Romania)
  • Elena Druica (University of Bucharest, Romania)
  • Kazumi Wada (National Statistics Center, Japan)
  • Marcello d’Orazio (FAO, Rome, Italy)
  • Valentin Todorov (UNIDO, Vienna Austria)
  • Alina Matei (University of Neuchatel, Switzerland)
  • Bernhard Meindl (Statistics Austria, Austria)
  • Claudiu Herteliu (Bucharest University of Economic Studies, EMOS Board, Romania)
  • Edwin de Jonge (Statistics Netherlands, The Netherlands)
  • Gergely Daróczi (System1, Hungary)
  • Kamarul Ariffin Mansor (MARA University of Technology, Malaysia)
  • Marius Nicolae Jula (University of Bucharest, Romania)
  • Matyas Meszaros (Eurostat, Luxemburg)
  • Mihaela Paun (University of Bucharest)
  • Roxana Adam (University of Bucharest & National Institute of Statistics, Romania)


We look forward to welcoming you to Vienna for uRos2020! The conference secretariat can be reached via: uRos2020 [at]


If you have any questions, please do not hesitate to contact the secretariat by e-mail to: uRos2020 [at]

Code of Conduct

Organisers, speakers, registered participants, and sponsors of the uRos conference and/or unconfUROS hackathon, as well as persons or organizations following and discussing the conference through (social) media or internet are required to follow this Code of Conduct. We shall refer to the combined group as ‘participants’ of the uRos conference.

Privacy: participants respect each other’s privacy. In particular it is not allowed to systematically gather information on organisers, speakers and (registered) participants, including but not limited to personal life, professional position, political views, social media outings, open source contributions, or pictures.

Open: participants are open to collaboration, whether it’s on projects, working groups, packages, problems, or otherwise. Participants are receptive to constructive comment and criticism, as the experiences and skill sets of other participants contribute to the whole of our efforts. Participants are accepting of anyone who wishes to take part in their activities, fostering an environment where all can participate and everyone can make a difference.

Respectful: participants are respectful of others, their positions, their skills, their commitments, and their efforts. They are respectful of the volunteer efforts that permeate the R community. In the case of disagreement, participants are courteous in raising their issues. Participants are attentive in communication, whether in person or online, and tactful when approaching differing views. They refrain from demeaning, discriminatory, or harassing behaviour and speech.

Considerate: participants are considerate of their peers — fellow uRos participants. They are thoughtful when addressing the efforts of others, keeping in mind that oftentimes the labour was completed simply for the good of the community.

In case of violation, participants may be removed from the premises or blocked from communication with the organization. Where relevant, the proper authorities or organizations will be informed of inappropriate behaviour.


This code of conduct is based on the R Community Code of Conduct by the R consortium

GDPR terms and conditions

This chaptersets out the terms and conditions between organisers and you when you register as a participant for this conference and you are agreeing to comply with these terms and conditions.

Please read these terms and conditions carefully.


I hereby give my consent for organisers to collect, process and use my personal data for the purposes related to my participation to uRos Conference events and for any other use to which I have consented. The data that can be collected consist of:

  • Name, surname, academic degree, institutional affiliation, e-mail address;
  • Photos from the conference that might include my person;
  • Videos from the conference that might include my person;
  • Abstracts and slides from presenters to be published on the conference’s website.


Organisers will not sell your personal data.
The processing of the respective personal data involves communication with the authors in order to publish the studies, publication of the accepted studies in journals and indexation of the journal in international databases.
I hereby give my consent to organisers to use my personal data for the following purposes:

  • to receive email communication about uRos Conference events;
  • to use my images and videos in which I may be photographed or filmed by the organiser’s photographer and/or cameraman in promotional or event related materials by organisers.

The usage of my personal data must comply with the requirements of the Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons about the processing of personal data and on the free movement of such data (“GDPR“).


You can ask organisers at any time to have an unrestricted access to your personal data and exercise your rights to: consult, modify, erase, export your personal information, by sending a message to the conference secretariat e-mail: uRos2020 [at]
You will find all data protection information (name and address of Statistics Austria as controller within the meaning of the GDPR, name and address of the data protection officer of Statistics Austria as well as information on the data protection rights and rights of complaint to which you are entitled) in the data protection information about this website.


  • Statistik Austria