The 7th Conference on the Use of R in Official Statistics (uRos2019) will take place from 20 to 21 May 2019 at the National Institute of Statistics in the Bucharest, Romania. As satellite event, unconfUROS will be organised on 22th of May 2019.
The purpose of the conference is to provide a public forum for researchers from academia and institutes of 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 the use of R in Official Statistics.
The conference consists of a one-day tutorial session and a one-day scientific conference.
The topics covered by the conference are the following:
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: anamaria.dobre [at] insse.ro
Tutorials will be 1.5 hours in length. Tutorials will be presented during the first day (Monday), during parallel sessions in the morning and in the afternoon.
Publication opportunities: Romanian Statistical Review or Austrian Journal of Statistics
Important dates:
12 April 2019: Deadline for abstracts submission
25 April 2019: Notification of acceptance
20-21 May 2019: Scientific conference & Tutorial sessions
22 May 2019: unconfUROS
15 June 2019: Deadline for paper submission
Registration: The conference fee is only EUR 100 thanks to the financial support of NIS Romania. Payments are accepted only through bank transfer.
The Participant registration fee includes:
participation Certificate;
entrance to all sessions;
conference bag;
coffee breaks;
official dinner on 20th May, 2019.
Keynote Speakers:
– Julie Josse Member of RFoundation and Rforwards, Professor of Statistics at Ecole Polytechnique, France.
– Giulio Barcaroli, Italian National Institute of Statistics (Istat).