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Welcome to uRos2020

The annual conference on the Use of R in Official Statistics will take place at the premises of Statistics Austria, 6-8 May 2020. The conference consists of one tutorial day (6 May 2020) and two days of scientific conference (7-8 May 2020).

We are also excited to announce an “unconference” “Use of R in Official Statistics” back-to-back with the uRos2020 conference, scheduled on 4-5 May 2020.

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.


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 31 December 2019.

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] statistik.gv.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 31 December 2019.

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 to the uRos2020 secretariat via e-mail to: uRos2020 [at] statistik.gv.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.


Important dates

  • 31 December 2019: Abstract submission deadline
  • 29 February 2020: Notification of acceptance
  • 31 March 2020: Submission of proposals for unconfUROS projects
  • 4-5 May 2020: unconfUROS & R Crash Course
  • 6-8 May 2020: Scientific conference & Tutorial sessions
  • 15 June 2020: Journal paper submission deadline

Keynote Speakers

We are happy to announce that we have already fixed two keynote talks and one more will be announced soon.

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.


Tutorials

The tutorial topics and trainers will be announced at the end of February 2020.


R Crash Course

This course is designed for people who never used R but are familiar with basic statistical concepts. It aims to teach basics of the R language and also give an overview about important packages. The topics include data import, data cleaning and visualization as well as automatic reporting. The course will also contain exercises, where participants can practice the learned concepts. In addition participants will be introduced to general purpose packages such as rmarkdown and ggplot2 as well as a guide on how to find high quality packages for official statistics.

Trainers: Gregor De Cillia and Johannes Gussenbauer (Statistics Austria)

Participation in the course is limited to participants of the uRos2020 conference and the registration will be together with the conference registration. The fee for the R Course is 200 €.

Times:
4 May 2020: 09:30 – 16:30
5 May 2020: 09:30 – 16:30


Programme

The programme will start on 6 May 2020 at 9:30 and on 7 May 2020 at 10:00. We plan to end the conference on 8 May 2020 15:30.


unconfUROS hackathon

More information can be found at the unconfUROS github page.

Project ideas

Some ideas have been developed, but please submit your own ideas through the github repository until 31st of March 2020:

https://github.com/uRosConf/unconfUROS2020

Ideas are welcome, also if you do not want to participate actively.

Why participate?

  • Work with and learn from a group of excellent R programmers
  • Free lunch :-)
  • A chance to present the work done on the website of the conference
  • FUN!

What do we expect from participants?

We would like participants to have some experience with R programming and the ability to work with git/GitHub.

How to participate?

If you are interested in participating, please contact us by e-mail to: uRos2020 [at] statistik.gv.at with a short summary of your motivation and your experience in R.


Register

Registration will open in January 2020. The registration fee for the conference is 210 € (tutorial trainers are exempt from this registration fee). We have limited capacities, so register early.

If you want to be added to the uRos mailing list, please contact us by e-mail to: uRos2020 [at] statistik.gv.at.


Organisation

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)

Venue & Contact

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

General information

The conference will take place at Statistics Austria’s premises located at Guglgasse 13,1110 Vienna, see https://goo.gl/maps/dnbDiJfkVwNar5q46.

Accommodation

Vienna has a wide choice of hotels in different price categories. We do not have special arrangements with any hotels.
The hotel closest to our office is Hotel Roomz (https://www.roomz-hotels.com/roomz-vienna) and a cheaper second option within walking distance is Hotel ibis budget Sankt Marx (https://goo.gl/maps/WDvSjZndKyj33k597).

How to reach us

Underground 3 (orange line) will take you directly to us, station “Gasometer”.
From the airport you can use the “City Airport Train – CAT” or the (slower but cheaper) train S7 to the station “Landstraße – Wien Mitte” and from there the U3 to “Gasometer”.

Alternatively take the inexpensive “Airliner” bus (https://air-liner.at/en) to “Erdberg” (U3 underground station) and either walk to Statistics Austria (10min.) or take U3 to “Gasometer” (one station after Erdberg).

Info about public transportation in Vienna

Vienna has a well-developed public transport system. Please find details at the transport company’s webpage https://www.wienerlinien.at/eportal3/ep/tab.do?tabId=0.


Secretariat

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

References

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.

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: uRos2020 [at] statistik.gv.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.


Organisers

  • Statistik Austria https://www.statistik.at/