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uRos2022 virtual event 6-8 December 2022

The annual conference on the Use of R in Official Statistics will be organized as a virtual event, on 6-8 December 2022.

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, visualization 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.

In 2020, was Statistics Austria’s turn to host the conference, for the first time being a virtual event. In 2021, uRos was hosted by its home country and institution - Romanian National Statistics Institute.

Celebrating a decade of uRos events. In 2022, we are delighted to announce that the 10th uRos, the first non-European uRos, will be hosted by Statistics Canada, as a virtual event.

Statistics Canada produces statistics that help Canadians better understand their country—its population, resources, economy, society and culture. In addition to conducting a Census every five years, there are about 350 active surveys on virtually all aspects of Canadian life.
Statistics Canada has been using R since 2017, starting for research projects and more recently has brought R into the production of official statistics. R is used throughout the agency with an ever growing community support network driving the path forward. Statistics Canada is on a modernization journey leveraging cloud technology, data science techniques and embracing R as one of the vital open source tools for producing official statistics.

Abstracts

You can browse all the accepted abstracts at https://uros.hopto.org/.

Download the book of abstracts: book-of-abstracts-uros2022.pdf

Important dates

  • Abstracts and tutorials submissions deadline: 16th of September 2022
  • Notification of acceptance: 21th of October 2022
  • Scientific conference: 6-8 December 2022
  • Journal paper submission deadline: 15th of January 2023

Keynote Speakers

Eric Kolaczyk

Eric Kolaczyk is a Professor in the Department of Mathematics & Statistics at McGill University, where he is also director of the Computational and Data Systems Initiative. In addition to his research and teaching on the topic, he has written several books on statistics and networks, including Statistical Analysis of Network Data in R with co-author Gabor Csardi (author of the igraph R package) in the Springer Use R! series.

“Statistical analysis of network data – a gentle introduction”

Abstract: Among the many and varied data types available in the current digital age is a rich spectrum of network data, ranging from survey-based friendship networks to networks of human mobility. Our understanding of the potential impact of such data on official statistics, and how best they can be integrated with more traditional data, is arguably still in the early stages. In this talk, I will give a gentle introduction to some fundamentals of the statistical analysis of network data, largely through the lens of the R package igraph and several other complementary packages.

Julia Silge

Julia Silge is a data scientist and software engineer at RStudio PBC where she works on open source modeling tools. She is an author, an international keynote speaker, and a real-world practitioner focusing on data analysis and machine learning. Julia loves text analysis, making beautiful charts, and communicating about technical topics with diverse audiences.

“Data visualization for machine learning practitioners”

Abstract: Visual representations of data inform how machine learning practitioners think, understand, and decide. Before charts are ever used for outward communication about a ML system, they are used by the system designers and operators themselves as a tool to make better modeling choices. Practitioners use visualization, from very familiar statistical graphics to creative and less standard plots, at the points of most important human decisions when other ways to validate those decisions can be difficult. Visualization approaches are used to understand both the data that serves as input for machine learning and the models that practitioners create. In this talk, learn about the process of building a ML model in the real world, how and when practitioners use visualization to make more effective choices, and considerations for ML visualization tooling.


Programme

The time is displayed in programme in Canada (GMT-5) & Central European Time (CET) (GMT+1).

Download the detailed programme: uRos_full_agenda_EN_v7.pdf

6th of December: Welcome message & Keynote speaker 1 & Sessions of presentations
7th of December: Keynote speaker 1 & Sessions of presentations & Pre-recorded scientific sessions
8th of December: Tutorials & Closing remarks

Dear participants,
Unfortunately due to unforeseen circumstances , we are not able to provide simultaneous translation.
We will translate any presentation upon request and / or discuss subjects in French with interested parties upon request.
Thank you for your understanding.
Have an awesome conference!

Slido

For the audience to ask questions we will use the Slido platform.
https://slido.com
The #code of the session is in the Agenda.

Pre-recorded scientific session

Viewing Multiple Interactive plots with plotly and trelliscopejs
Jeremy SELVA, Singapore Lipidomics Incubator :: National University of Singapore :: Centre for Life Sciences
video.MP4

Using R code to model small area estimates of household income in England and Wales
Peshali DIYASENA, Office for National Statistics
Matthew PLUMMER, Office for National Statistics
video.MP4

R in Labour Statistics
Tatyana SAVCHENKO, Employment statistics division of the Labour Statistics Department
National Statistical Committee of the Republic of Belarus
video.MP4

Improvement of Model Construction based on Reliability Scores of Objects for Autocoding
Yukako TOKO , National Statistics Center, Japan
Mika SATO-ILIC, Faculty of Engineering, Information and Systems, University of Tsukuba, Japan
video.MP4

Demonstration of an Exploratory Method for Categorical Data Imputing Inventories Zero or Non-zero Values
Anri MUTOH, Rissho University, Tokyo, Japan
Ichiro MURATA, National Statistics Center, Japan
video.MP4

Automated monthly procedure with R: the e-invoice case
Bruno LIMA, Statistics Portugal
João POÇAS, Statistics Portugal
Sofia RODRIGUES, Statistics Portugal
video.MP4

Cross-data sources analysis with Dynamic reports using {flexdashboard} and {crosstalk}
Alexandre CUNHA, Statistics Portugal
João POÇAS, Statistics Portugal
Sofia RODRIGUES, Statistics Portugal
video.MP4

Register

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 – uRos2022 until 16th of September 2022.

There will be two kind of presentations: “regular 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 privacy and confidentiality
  • R in organization
  • Data cleaning
  • R in production: data analysis
  • Methods for official statistics
  • Shiny applications
  • Time series and longitudinal data analysis
  • Report and GUI programming
  • R in production: automation
  • Big data, data engineering and machine learning
  • Dissemination and visualization

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

Call for abstracts - tutorials

Tutorials will be 2 to 4 hours in length (1 slot is 2 hours). Tutorials will be presented as live presentations. The scope of the tutorials comprises the whole statistical production process of official statistics. Deadline for tutorial submission is 16th of September 2022.

Papers for Special Journal Issues

Authors with an accepted abstract can submit a full-length paper for one of the following journals: Survey Methodology (special issue), R Journal (special section) or Romanian Statistical Review (special issue).

For all journals, submission deadline will be January 15, 2023.

  • Survey Methodology: ScholarOne manuscript submission system, https://mc04.manuscriptcentral.com/surveymeth
    Submission deadline: 28th of February, 2023

  • Submissions for R Journal: Mark van der Loo, mpj.vanderloo [at] cbs.nl
    Submission deadline: 15th of January, 2023

  • Submissions for Romanian Statistical Review: Ana Maria Ciuhu, anamaria.ciuhu [at] insse.ro
    Submission deadline: 15th of February, 2023

About the journals

Survey Methodology

The Survey Methodology journal plans to publish a special issue from a selection of papers presented at uRos2022. Speakers interested in submitting a paper to Survey Methodology are invited to do so through the ScholarOne manuscript submission system (https://mc04.manuscriptcentral.com/surveymeth) by January 15, 2023. Authors should clearly indicate in the cover letter that they are submitting to the special issue for papers presented at the uRos2022 conference.
Please note that papers submitted to this special issue will be subject to the same review process as regular submissions and must fit in the scope of Survey Methodology. Additional information, including details on the scope of the Journal and guidelines for manuscripts, is provided on the Survey Methodology website (www.statcan.gc.ca/surveymethodology).
For more information, please use the following email: statcan.smj-rte.statcan [at] canada.ca

R Journal

A selection of papers will be published in a special section of R Journal. Publications are subjected to passing the standard peer review process. Please make sure to follow the R Journal author guidelines.

Papers should be submitted no later than 15 January 2022, to the R Journal special section’s Editor-in-Chief, Mark van der Loo via e-mail to: mpj.vanderloo [at] cbs.nl.

The R Journal is the open access, refereed journal of the R project for statistical computing. It is run under the auspices of the R Foundation, and editors of the Journal are appointed by the board of the Foundation.

Romanian Statistical Review

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. Please make sure to follow the RSR author guidelines.

Papers should be submitted no later than 15 January 2023 to the uRos2022 secretariat via e-mail to: anamaria.ciuhu [at] insse.ro

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.

Presentations

The presentations will be uploaded in a separate page: link

Organisation

Organizing committee

  • Kate Burnett-Isaacs (Statistics Canada)
  • Ana Maria Ciuhu (Statistics Romania and Institute of National Economy, Romanian Academy)
  • Bogdan Oancea (Statistics Romania, University of Bucharest)
  • Ciprian Alexandru (Ecological University of Bucharest)
  • Alexander Kowarik (Statistics Austria)
  • Mark van der Loo (Statistics Netherlands)

Scientific Board

  • Tudorel Andrei (President, National Institute of Statistics - Romania)
  • Kenza Sallier (Statistics Canada, Canada)
  • Matthias Templ (ZHAW school of engineering, Switzerland)
  • Adrian Dusa (University of Bucharest, Romania)
  • Kazumi Wada (National Statistics Center, Japan)
  • Marcello d’Orazio (Italian National Institute of Statistics - 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, Romania)

Contact

We look forward to meet you online for uRos2022! The conference secretariat can be reached via: urosconf [at] gmail.com

Secretariat members

  • Kate Burnett-Isaacs, Statistics Canada
  • Marie-Pier Lemieux, Statistics Canada
  • Ahalya Sivathayalan, Statistics Canada
  • Ana Maria Ciuhu, National Institute of Statistics, Romania
  • Roxana Petcu, The Bucharest University of Economic Studies & National Institute of Statistics, Romania
  • Ana Țîru, National Institute of Statistics, Romania

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.

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.

References

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

GDPR terms and conditions

This chapter sets 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.

DECLARATION OF CONSENT

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.

USE OF PERSONAL DATA

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“).

PERSONAL INFORMATION

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: urosconf [at] gmail.com.
You will find all data protection information (name and address of Statistics Canada as controller within the meaning of the GDPR, name and address of the data protection officer of Statistics Canada 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.