| Description | With the so-called “Data Revolution” the amount of data potentially available to build statistics and indicators is going to be huge. Official and non-official sources have already increased the coverage of available data and are experimenting the use of Big Data, in order to measure the reality in a more composite way, discover new phenomena and increase timeliness. Beside the methodological issues related to the use of these new data sources, it is clear that users' capacity to absorb this wealth of data is limited. This requires the adoption of a systematic perspective based upon the lens of complexity. In other words, the demand for new methodological approaches should allow a more accurate and rich description of the reality, by respecting its complexity. |
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| Organisers | Filomena Maggino (University of Florence) |
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| Chair | Filomena Maggino (University of Florence) |
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| Presentation #1 | Could unofficial data sources offer a complementary lens to monitoring cultural and creative initiatives in cities?
Michaela Saisana (Joint Research Centre of the European Commission)
Valentina Montalto (Joint Research Centre of the European Commission) |
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| Presentation #2 | Using Big Data for Social Statistics: The Case of Well-being in the US
Fabrice Murtin (OECD) |
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| Presentation #3 | New Methodological Challenges for the Era of Big Data
Maurizio Vichi (Sapienza University of Rome) |
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