The course “Network Analysis, Inference, and Modeling NAIM 2019“, taught in English, presents an introduction and recent advances in statistical network modeling, with a special emphasis on main concepts of network analysis, sparse inference, high-dimensional data and graphical models. It will address theoretical, methodological as well as applied and practical aspects of this field.

October 6-11, 2019 – La Villa Clythia – CAES du CNRS, Fréjus, France

Dear Colleagues,

We, Muğla Sıtkı Koçman University Department of Statistics are pleased to inform you that abstract submission is now open for the “11. International Statistics Days Conference” that is going to be held at elegant Kefaluka Resort Hotel embracing the deep blue of Aegean Sea, Turkey. The conference website can be accessed at www.igs2018.mu.edu.tr.

The conference provides opportunities for the participants to exchange ideas and discuss new theoretical and practical issues in their fields face to face, to establish new collaborations and to contact global partners for future collaboration.

The Scientific Committee will evaluate your prospective, valuable contributions on the topics of the conference and the ones approved to be presented will be notified soon after submission. All abstract submissions are subject to a blind peer review process. Accepted submissions will be published in the Conference Proceedings, which will later be available online on the conference website with an ISSN number. Furthermore, selected papers will be published in high profile journals.

We will spend every effort and be pleased to generate an atmosphere where you can share your knowledge, expertise, and experiences with your colleagues.

Kind Regards,
Atila Göktaş

The third call for applications for new universities in the EU Member States, EFTA and EU candidate countries to join the European Master in Official Statistics (EMOS) is now published and closes on 30 June 2018.

EMOS builds on nationally accredited Master programmes which deliver upon the EMOS learning outcomes to familiarise the graduates with the system of official statistics, production models, statistical methods and dissemination. The programmes also collaborate actively with the National Statistical Institutes or other producers of official statistics for relevant master thesis topics and internships in the sphere of official statistics.

The third call of applications emphasises the importance of addressing the rapidly changing landscape from design based production of official statistics to integrating different kinds of data sources. Universities wishing to join the 23 already EMOS labelled Master programmes in 15 countries may submit by 30 June 2018 their applications complete with accompanying documents as described in the EMOS call text, guide for applicants and application form available at https://ec.europa.eu/eurostat/cros/content/emos_en.

Contact: estat-emos@ec.europa.eu

The European Master in Official Statistics (EMOS) was launched by Eurostat and the European Statistical System (ESS) in 2014 to connect producers of official statistics and academia at European level. As a joint project of universities and data producers, EMOS aims at including official statistics in statistical curricula, meeting training and recruitment needs in the ESS and constituting a future recruitment pool of highly educated professional statisticians for the ESS and the European System of Central Banks (ESCB).

EMOS is a label awarded by the European Statistical System Committee (ESSC) for four years, renewable upon continued fulfilment of EMOS requirements. Partners in the EMOS network benefit from each other’s experiences and can develop deeper cooperation, e.g. joint degrees or exchange of students. Study visits to Eurostat are considered attractive by the students and EMOS summers schools and webinars offer a relevant mix of skills and knowledge for tomorrow’s official statisticians.

Underlying assumption on which EMOS activities are expected to deliver long- and short- term outcomes

University of Linz – Statistics Austria

Six-weeks-wonder-woman: our first EMOS intern in Statistics Austria

Summary

The Master programme “Statistics” at the Faculty of Social Sciences, Economics and Business of the Johannes Kepler University Linz (JKU) collaborates with Statistics Austria. An EMOS student from Linz arrived as a trainee to Statistics Austria while her counsellor was out of office for a longer period. But what the counsellor found on her return was in her own words “an enthusiastic and dedicated young woman already sat in my room, busily coding, calculating and proofreading. From time to time she raised her head from her computer to ask for clarifications or – even more often – for new work.“ In a few weeks the trainee did a lot of good work with “How is Austria?” indicators. Colleagues in Statistics Austria felt that while supervising the trainee took some time, it was also very rewarding and the trainee truly helped to improve some of their statistical processes

Story in detail:

Statistics Austria cooperates with University Linz who didn`t have too many Master’s students and as they only started with their EMOs programme recently, we didn`t expect to have an EMOS intern that soon. So lots of administrative and financial things had to be organized, before N. arrived and as we were pretty busy with those (and had lots of other things to do) we did not prepare a lot work for our soon to arrive intern N. All we knew was, that she just finished her Bachelor, was not sure about her Master’s topic and seemed to be a good student. And so Alex (head of the methodology department) and I (researcher in the analysis department) decided to give her a few different tasks, which had to be done in our projects anyway to provide her with some insights into our daily work.

Then I went off for a conference and holidays and when I came back a congenial, enthusiastic and dedicated young woman already sat in my room, busily coding, calculating and proofreading. From time to time she raised her head from her computer to ask for clarifications or – even more often- for new work.

We once had an intern from the mathematical field- he was communicating with us through code (SPSS syntax) and mathematical formulas. Not so N.: she was truly interested also in the topics of our work, had some very good advice how to improve our reports and graphs and even did some literature research on her own to get new ideas how to improve our models. And she was neither shy nor afraid to tell us, what she would do differently and what would be the best statistical procedure to use in her opinion. So yes, those 6 weeks were quite challenging for me (especially as I´m not a statistician by training) but they were also very efficient because even though I had to spend some time on supervising her work, N. did so much work for us, that she really was of great help for us.

Soon I started to ask different colleagues with interesting projects to meet us for dinner and as they realized that she was quite good, they started to involve her in their projects (with our permission, of course) or promoted their topics as potential topics for an Masters theses. As one colleague seemed to have been pretty successful in this we eagerly await her back in a year! There`s only one bad thing: future EMOS interns are going to be measured by a high standard.

University of Pisa – Italian National Institute of Statistics (ISTAT)

Why EMOS is an added value?

Summary

The Master Program in Economics with curriculum in Official Statistics in Pisa offers an advanced training in economics supported by quantitative and statistical tools. Lisa is on her second year of the EMOS programme. While learning the traditional and new survey techniques, her favourite courses tackle challenges related to producing official statistics from big data, including modelling and learning to use the R  software. Seminars, intensive lectures and contact to other international students makes studying fun and an internship in the Italian national Institute of Statistics (ISTAT) will help her to finalise her Master thesis.

Story in detail

Student Lisa

My name is Lisa, I am an Italian student and I am attending the second year of Master of Science in Economics curriculum in Official Statistics (EMOS program) at University of Pisa. In the second year there are many courses about EMOS programme that I can attend. One of my favourite course is European Local Indicators of Poverty and Living Conditions which it tackles the most important topics in big data ranging from data collection, analysis and visualization, as well as applications of statistical models to Big data. In this course, my classmates and I, we are learning traditional and new survey techniques and what might be the problems that arise in the definition and measure of local indicators of poverty and living conditions. I love it because the professor teaches us also the use of R software and at the end of the course she will give us some data to manage with this software and we have to expose in group to her our work. She also organizes many seminars and intensive lectures with professor from other EU countries.

Professors at Pisa University Luigi Biggeri and Monica Pratesi

Another added value of EMOS program is that there are many international student which attend its courses, in this way my Italian classmate and I we know and learn from other culture. I am grateful to participate to this programme also because thanks to this I have the opportunity to do an internship at ISTAT (Istituto Nazionale di Statistica). At ISTAT I can formalise my thesis project. I am looking forward to do this internship because I can get in touch with real data and learn the use of new software to manage the latest.

Researchers, Producers and Users of European Statistics
Bamberg, Germany, 18-19 October 2018

https://www.uni-bamberg.de/en/cess2018/call-for-abstracts/

The event

The 3rd Conference of European Statistics Stakeholders is a platform for discussing statistics methodology, results, challenges and best practices between researchers, producers, and users of European Statistics and enabling the exchange of thoughts and experiences on the broad overarching theme of “Statistics for the EU policy monitoring frameworks”.

The conference, co-organised by Eurostat, the European Central Bank, the European Statistical Advisory Committee, the United Nations Economic Commission for Europe, the Federation of European National Statistical Societies, the Federal Statistical Office of Germany, the German Statistical Society, the Deutsche Bundesbank and the University of Bamberg, will be held in Bamberg, Germany on 18–19 October 2018.

Call for abstracts

Are you a data user looking for an integrated picture of complex economic and social developments to prepare better decisions for the development of Europe? Are you a researcher interested in experimenting with new statistical methods to expand and improve our understanding of complex phenomena? Are you involved in the production of European statistics and interested in exploring innovative methods and ways of communication and dissemination? Are you a data analyst interested in further developing the use of micro-data, while still applying the rules of statistical confidentiality?

Then the 2018 Conference of European Statistics Stakeholders (CESS 2018) is the right place for you to present your work and to discuss the challenges that you face when using or producing statistics, and the ways in which you would like statistics to improve.

Important dates

The deadline for submitting an abstract in one of the three focus areas of the conference will be Thursday, 31 May 2018. Authors will be notified of acceptance by 2 July 2018. Please click here to submit an abstract.

Topic “Statistics for the EU policy monitoring frameworks”

Thematic block A: Statistics

  • The future of statistical production: 10 years after the financial crisis – consequences and lessons at both macro and micro level.
  • Can new pretty big data sources and modernised statistical production enhance the availability of evidence based policy agenda?
  • Managing confidentiality of micro-data, cooperation with users to facilitating access and exploration: New statistics indicators: surveys, public administrative and private data, sharing of microdata among statistics agents
  • Indicator scoreboards – Extracting the wealth of knowledge into scoreboards. What are the opportunities and challenges and how can such scoreboards be integrated within the portfolio of European statistical products and services?
  • New tools and skills for statisticians – tools, software, skills, data science, EMOS

Block B: Science

  • Science for statistics: Europe in a changing world – inclusive, innovative and reflective societies – How can research be promoted to use high quality statistical information, what are the daily needs and challenges to reflect the future of Europe?
  • Statistical methodology: Which directions of development are necessary and possible in the future statistics production environment?
  • Statistics for science: new collection methods, aggregation methods, detecting outliers, clustering and quality check methods, new access methods for micro-data access for researchers supporting social policies while preserving statistical confidentiality.

Block C: Society

  • Communication – best practices in communicating statistics, strategies, user needs, effects of tailored communication channels, use of digital and social media, getting the statistics messages and indicators across for policy and public use. How to support users in selecting high quality statistics and crowd out high volume low quality.
  • Evidence based policy – consequences for statistics, science and society
  • Impact of statistics indicators – How to measure its use, re-distribution, methods to ensure its inclusion for evidence based policy?
  • Mainstreaming stakeholder interests: How can interaction with societal groups be enhanced throughout the entire production process of statistics?
  • Statistical literacy: Which basic competences are needed and how to improve them, aiming at a data culture that is receptive to high quality statistics
  • Informational governance: In which way is it necessary to adjust the legal, institutional and political frameworks that define the conditions under which European statistics operate? Statistics: its independence, ethics governance and social value.

Contacts

Please use the submission webpage for sending abstracts. In case of questions, please contact the organising team: cess2018(at)uni-bamberg.de

Workshop of Baltic-Nordic-Ukrainian Network on Survey Statistics will take place on 21-24 August 2018 in Latvia, Jelgava. The main topic of the workshop 2018 is Population census based on administrative data. Other topics related to survey statistics will be also presented. Prof. Li-Chun Zhang (University of Southampton, Statistics Norway) and Dr. Anders Holmberg (Statistics Norway) will be the keynote speakers at the workshop.

The workshop is organised by the Central Statistical Bureau of Latvia, Faculty of Business, Management and Economics (University of Latvia) and Faculty of Economics and Social Development (Latvia University of Agriculture). International Association of Survey Statisticians, Nordplus Higher Education program and the Central Statistical Bureau of Latvia are sponsors of the event. The workshop is organised as an annual event of the Baltic-Nordic-Ukrainian Network on Survey Statistics.

More information about the workshop is available at the workshop website: http://home.lu.lv/~pm90015/workshop2018/. The participation at the workshop is invitation based. Please contact your country representative or workshop organisers to get the invitation to the workshop.

Photo source: No Photo, Only Video

News from the World of Statistics: December 2017

  • Royal Statistical Society Announces Important Statistics of 2017
  • Special Issue of CHANCE Spotlights Value, Significance of Statistics in Climate Research
  • Implementation of Statistics in Developing Countries Focus of New Issue of IAOS Journal
  • New Issue of SERJ on Models of Informal Statistical Inference Now Available
  • BigSurv18 to Connect Survey Science, Big Data in October 2018
  • JOBS

Joint Summer School ERS-IASC, ECAS and SIS-CLADAG Clustering, Data Analysis and Visualization of Complex Data May 21-25, 2018, Catania (Italy)

The course is intended to achieve postgraduate training in special areas of statistics for both researchers and professional data analysts. The focus is on classification and clustering methods with particular emphasis on modern high-dimensional data sets (MHDS). MHDS have recently emerged because of the fast improvement in data acquisition, storage and processing. The availability of massive data sets are of large interest also in machine learning, data science and computer science. It applies in many contexts such as biological experiments, financial markets, astronomy, etc. Classification and clustering play a key role in this new paradigm to discover the inhomogeneous structure often underlying these data. Starting from basic concepts, the course will introduce the audience to novel techniques and software through extensive applications to real data.

More information available at http://www.clucla-summerschool.org/

News from the World of Statistics: November 2017

  • Workshops in India Draw Clinicians, Researchers for Software Training and Biostatistics Education
  • Symposium on Statistical Inference Gathers Professionals to Address Reproducibility in Research
  • OECD Releases New Publication Offering Guidance to Understanding Financial Accounts
  • BigSurv18 to Connect Survey Science, Big Data in October 2018
  • Senegal Statistics Community to Celebrate Mathematical Days
  • European Statistics Day Celebrated by Many
  • RSS Publishes New Educational Resources, Activities for Students and Guide for Legal Professionals
  • ICSA Seeks Proposals for Invited Sessions at 2018 Symposium
  • FENStatS Drafts Letter Supporting Former Greek Statistics Officials
  • Contribute News, Jobs to the World of Statistics

Joint Summer School ERS-IASC, ECAS and SIS-CLADAG Clustering, Data Analysis and Visualization of Complex Data May 21-25, 2018, Catania (Italy)

The course is intended to achieve postgraduate training in special areas of statistics for both researchers and professional data analysts. The focus is on classification and clustering methods with particular emphasis on modern high-dimensional data sets (MHDS). MHDS have recently emerged because of the fast improvement in data acquisition, storage and processing. The availability of massive data sets are of large interest also in machine learning, data science and computer science. It applies in many contexts such as biological experiments, financial markets, astronomy, etc. Classification and clustering play a key role in this new paradigm to discover the inhomogeneous structure often underlying these data. Starting from basic concepts, the course will introduce the audience to novel techniques and software through extensive applications to real data.

More information available at http://www.clucla-summerschool.org/