The scope of the Conference is to enhance the dialogue between European methodologists, producers, and users of European Statistics identifying the requirements of the users (ESAC), the best practices of the production (EUROSTAT, NSIs), the innovative ways of visualising and communicating statistics, and the new methodological ideas for collecting and analysing data (FENStatS). Specific topics of high interest regard the development of the European Statistical System towards 2020 and. This is the occasion to investigate and present themes of research in official statistics within the scientific community, to explore the enabling instruments such as the Horizon 2020 Research Framework Programme, compare and share best practices of production, and a good opportunity to meet national and European users of statistics. The Conference is an operative tool to facilitate the evolution of statistics towards the 2020 modernisation targets.
CALL FOR PAPERS
All statistics stakeholders (methodologists, producers, users) are warmly invited to participate to this conference by submitting a paper, thus contributing to the advances of European Statistics for the years to come.
Both theoretical and empirical papers are encouraged in areas which include, but are not limited to the following track sessions:
Methodological and technical drivers for modernisation of statistics:
- Statistics for decision making: statistical products and services for an informed society;
- What statistics can measure and how: defining European statistics with a 2020 time horizon;
- Methods for analysing Big Data in the context of official statistics, (data mining, integration of data from different sources), with the effort of stakeholders from multidisciplinary domains, including government, academics and owners of private data sources;
- New methodologies for summarising large sets of indicators (composite indicators,
- factorial methods, structural equation models, PLS models and other latent variable methods);
- Methods for analysing unstructured digital data (sentiment analysis, opinion mining, text mining);
- New methods for collecting data, visualising and communicating statistics in the e-society: multi-purposes collection, methods and tools.
- Statistics as a new Skill for new Jobs and a new Key Competences for lifelong learning
- Poverty and social exclusion: enhancing capacity to measure employment and social developments;
- New paradigms in statistics: when research meets European statistics