The R Project - The Use of R in Official Statistics

R Project

- Romania Team

Call for papers

We are cordially inviting you to submit papers and to attend The 5th International Joint Conference New Challenges for Statistical Software - The Use of R in Official Statistics - uRos2017.

The conference will be held in Bucharest-ROMANIA, on 6-7 November, 2017.

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 selected research proposals/papers will be published in a special issue by the Romanian Statistical Review (ISSN 1018-046X): www.revistadestatistica.ro. Starting from 2016, Romanian Statistical Review has been accepted for coverage in the Web of Science Core Collection - Emerging Sources Citation Index (ESCI), a Thomson Reuters database.

Other publication opportunities will be considered (ISBN volume - published by Ecological University of Bucharest, indexed by RePEc).

Publication decisions will be based an a standard peer-reviewing process.

Important Dates

Conference Date – 6-7 November, 2017

Abstract submission – 26 July, 2017 - Closed

Notification of acceptance – 07 August, 2017 - Closed

Complete paper due – 25 September, 2017

Registration deadline – 1 October, 2017

Joint Conference - Malaysia

uRos2017-Asia Pacific - www.icmskdh.net

Scientific Committee

Tudorel ANDREI – National Institute of Statistics and Bucharest University of Economic Studies, Bucharest, Romania

Matthias TEMPL – Statistics Austria & Vienna University of Technology, Austria

Ralf MÜNNICH – University of Trier, Germany

Risto LEHTONEN – University of Helsinki, Finland

Gergely DARÓCZI – Easystats Ltd, Budapest, Hungary

Lucian Liviu ALBU – Romanian Academy – Institute for Economic Forecasting, Bucharest, Romania

Gheorghe ZAMAN – Romanian Academy – Institute of National Economy, Bucharest, Romania

Valentina VASILE – Romanian Academy – Institute of National Economy, Bucharest, Romania

Dorin JULA – Romanian Academy – Institute for Economic Forecasting and Ecological University of Bucharest, Romania

Bogdan OANCEA – The University of Bucharest and National Institute of Statistics, Bucharest, Romania

Monica ROMAN – Bucharest University of Economic Studies, Romania

Nicoleta CARAGEA – National Institute of Statistics and Ecological University of Bucharest, Romania

Ciprian ALEXANDRU – Ecological University of Bucharest and National Institute of Statistics, Romania

Adrian DUSA – University of Bucharest, Romania

Elena DRUICA – University of Bucharest, Romania

Nicolae-Marius JULA – Nicolae Titulescu University, Bucharest, Romania

Ana Maria DOBRE – National Institute of Statistics, Romania

Gerald Cheang – University of South Australia, Australia

Suhaidi Hassan – Universiti Utara Malaysia, Malaysia

Martin Everett – University of Manchester, UK

Nicolaas Jan Dirk Nagelkerke – University of Amsterdam, Netherland

Ang Miin Huey – Universiti Sains Malaysia, Malaysia

Poo Kuan Hoong – AC Nielson, Malaysia

Nurhuda Ismail – Universiti Teknologi MARA, Malaysia

Organizing Committee

Tudorel ANDREI – National Institute of Statistics and The Bucharest University of Economic Studies, Romania

Nicoleta CARAGEA – National Institute of Statistics and Ecological University of Bucharest, Romania

Bogdan OANCEA – The University of Bucharest and National Institute of Statistics, Bucharest, Romania

Ciprian ALEXANDRU – Ecological University of Bucharest and National Institute of Statistics, Romania

Adrian DUSA – University of Bucharest, Department of Sociology, Romania

Elena DRUICA – University of Bucharest, Department of Economic and Administrative Sciences, Romania

Marius Nicolae JULA – “Nicolae Titulescu” University of Bucharest, Romania

Ana Maria DOBRE – National Institute of Statistics, Bucharest, Romania

Registration

The participants are kindly asked to submit the abstract via e-mail to: nicoleta.caragea [at] insse.ro

Conference registration fee:
- oficial statistics member / academic 150 EUR;
- industry member 300 EUR.
The Participant registration fee includes:

participation Certificate;
entrance to all sessions;
printed version of the Romanian Statistical Review with selected published papers;
conference bag;
coffee breaks;
official dinner on 6th November, 2017.

The payment details for EU and non-EU participants will me made to:
Universitatea Ecologica din Bucuresti
Bd. Vasile Milea, nr. 1G, sector 6, 061341, Bucuresti, Romania
VAT: 10240221
Bank: Groupe Societe Generale - Sucursala Academiei
Bank address: Bd.Ion Mihalache nr. 1-7, sector 1, 011171, Bucuresti
IBAN (EURO): RO15BRDE410SV84704764100
SWIFT code: BRDEROBU
Please state the name of the registered conference participant beneficiary of the payment and conference identifier code: UROS2017.

In order to confirm the payment of the Conference Fee we are kindly requesting that you send a scanned copy of the Bank Transfer Order, as a attached file (PDF or image file), by e-mail: nicoleta.caragea [at] insse.ro

Programme

November 6, Monday
12:30 - 13:00 Registration of participants
13:00 - 13:30 Welcoming Address and Open Session
13:30 - 15:30 Workshops Session I
15:30 - 16:00 Coffee Break & Group Photo
16:00 - 18:00 Workshops Session II
19:00 Conference DinneR

November 7, Tuesday
09:00 - 11:00 Working Session I
11:00 - 11:15 Coffee Break
11:15 - 13:00 Working Session II
13:00 - 14:00 Lunch
14:00 - 15:45 Working Session III (paralell section)
14:00 - 15:45 Workshops Session III
15:45 - 16:00 Coffee Break
16:00 - 17:30 Working Session IV (paralell section)
16:00 - 17:30 Workshops Session IV
17:30 Closing conference

Detailed programme is available here:

Workshops

There is no separate extra fee for attending workshops, you just need to register for the conference. We encourage everyone to attend so that we take full advantage of our capacity. The list of planned 1 hours long workshops/tutorials:

Mark van der Loo - Netherlands - Statistical data cleaning with R
Statistics Netherlands

Mark van der Loo had (co-)authored several papers and R packages that are somehow related to data cleaning technology/methodology. These include, but are not limited to, R packages ‘stringdist’, ‘validate’, ‘deductive’ and ‘lintools’. For Statistics Netherlands he is an internal consultant and statistical researcher, and responsible for the institute’s R distribution. He also teaches R and data cleaning methodology, as well as a course on data management at the University of Utrecht for the EMOS program (European Master of Official Statistics).

Valentin Todorov - Bulgaria - R in the statistical office: the UNIDO experience
United Nations Industrial Development Organization (UNIDO)

Valentin Todorov is a senior management information officer with the United Nations Industrial Development Organization (UNIDO). He received a doctoral degree in statistics from Vienna University of Technology, Austria and holds a masters degree in mathematics and statistics from the University of Sofia, Bulgaria and the University of Vienna, Austria. His main research activities include multivariate data analysis, computational statistics, robust statistics, official statistics and statistical information systems.Valentin Todorov has authored one book, book chapters and many scientific articles in the area of mathematical statistics and statistical information systems and acts as a reviewer for a number of international statistics journals. He has developed and maintains at CRAN several packages for the statistical software environment R.
Prior to joining UNIDO in 2006 Valentin Todorov has worked on large scale international projects in the fields of aviation (Austrocontrol), telecommunications (Ericsson) and academy (Bulgarian Academy of Sciences).

Bernhard Meindl - Austria - Current developments in R-packages sdcMicro and sdcTable for statistical disclosure control
Statistics Austria

Marcello D’Orazio - Italy - Outlier detection in R: some remarks
Food and Agriculture Organization of The United Nations

Marcello D’Orazio, PhD in Statistics at University of Bari (Italy), started working at Italian national institute of Statistics (Istat) in 1998 as a researcher in statistical methodology (senior researcher since 2008). At Istat he has been involved in various project concerning quality of official statistics, survey data integration, agriculture statistics, use of R in production of official statistics. Since April 2016 is on secondment at Food and Agriculture organization (FAO) of the United Nations providing methodological and statistical governance expertise in support to the work of the Chief Statistician and the Statistical Division.

Camelia Goga - France - Survey sampling techniques with R
Institut de Mathématiques de Bourgogne, Université de Bourgogne

Membre de l’équipe SPOC (Statistique, Probabilités, Optimisation et Contrôle) de l’Institut de Mathématiques de Bourgogne.
Goga is full professor in Statistics at the University of Bourgogne Franche-Comté. Her research interests are survey sampling techniques, nonparametric and functional statistics.
http://goga.perso.math.cnrs.fr/

Hervé Cardot - France - Fast robust center estimation, clustering and Principal Components Analysis with large samples in high dimension with R.
Institut de Mathématiques de Bourgogne, Université de Bourgogne

Professeur à l’Université de Bourgogne. Membre de l’équipe Statistique, Probabilités, Optimisation et Controle (SPOC) de l’Institut de Mathématiques de Bourgogne (IMB).
Hervé Cardot defended his PhD in Statistics in 1997 at the University Paul Sabatier (Toulouse, France). He is Professor of Statistics at the Université de Bourgogne, Dijon, since 2007 and head of the team SPOC (Statistics, Probability, Optimization and Control) at the Institut de Mathématiques de Bourgogne.
His research interests are functional data analysis, robustness in high dimension and survey sampling as well as applications of statistics in various domains (climatology, economics, proteomics, energy, remote sensing, sensometry, …)
http://cardot.perso.math.cnrs.fr/

Elena Druica - Romania - Working with the ‘pglm’ package in R. Explaining the number of nosocomial infections in Romanian hospitals.
University of Bucharest, Department of Economic and Administrative Sciences

Dr. Elena Druica is a Full Professor of Applied Econometrics at the Faculty of Business and Administration, University of Bucharest. She received an Undergraduate Degree in Mathematics from the University of Bucharest in 1994, a Diploma in Armonic Analysis in 1995, and a Master Degree in Financial and Risk Management in 2004. She earned a Ph.D. in Statistics and Probabilities from the Romanian Academy of Sciences in 2004, and a Ph.D. in Economics from the Academy of Economics Studies in 2006. She is member of R-omanian R Team.

Ciprian Alexandru-Caragea - Romania - From unstructured data to structured data - Web scraping for Official Statistics
Ecological University of Bucharest, National Institute of Statistics

Ciprian Alexandru is an Associate Professor and Vice-Rector of the Ecological University of Bucharest. On the capital market in Romania he is authorized as an investment consultant. The Ph.D. in Economics was obtained under aegis of the Romanian Academy, National Institute of Economic Research. He completed a postdoctoral program that implemented the use of R as a tool for analyzing the evolution indices on the stock market.

Bogdan Oancea - Romania - From unstructured data to structured data - Web scraping for Official Statistics
University of Bucharest, Department of Economic and Administrative Sciences

Bogdan Oancea is a Professor at University of Bucharest. He also holds a position of counselor at the National Institute of Statistics. He is specialist is matrix computations and parallel computing, machine learning, data analysis, computational statistics, econometrics. Bogdan Oancea acted as project manager and software developer, participating in various projects using Java, C, C++, MPI, OpenMP, CUDA, SQL, R, Hadoop, Hive, HiveQL, Pig, PigLatin. He is a member of the Eurostat Task Force on Big Data and UNECE’s High Level Group project on Big Data.

Venue & Contact

General information

  Address of National Institute of Statistics: 
  No.16 Libertatii Bvd., District 5, Bucharest, Romania 
  Telephone center: +4021 3181824; +4021 3181842 
  Fax: +4021 3124875; +4021 3181851; +4021 3181873 
  e-mail: nicoleta.caragea [at] insse.ro

Accommodation (no guarantee by the conference, only informations)

http://www.ibis.com/gb/hotel-5938-ibis-bucharest-palatul-parlamentului-city-centre/index.shtml
http://parliament-hotel.ro/
http://www.europaroyalebucharest.com/
http://www.hotel-horoscop.ro/english/index_en.html

How to reach from Airport

maps.google.com

Info about Bucharest

http://romaniatourism.com/bucharest.html

Info about public transportation in Bucharest

http://romaniatourism.com/bucharest.html#transportation