NTTS Conference Brussels Brussels March 10-13, 2015
Going beyond GDP: a challenge also for training statisticians. statisticians. A new Master proposal and experience
Going beyond GDP: a challenge also for training Filomena Maggino statisticians. statisticians. Università degli Studi di Università degli Studi di Firenze (Italy) A new Master proposal and experience
Going beyond GDP: a challenge also for training Maria Pia Sorvillo statisticians. statisticians. National Institute of Statistics National Institute of Statistics A new Master (Italy) proposal and experience
Introduction Beyond GDP movement Are indicators enough?
Introduction Beyond GDP movement The cockpit metaphor
Introduction Beyond GDP movement The cockpit metaphor � a community an airplane � governance the flight desk � markers of indicators lights
Introduction Beyond GDP movement The cockpit metaphor � a community an airplane � governance the flight desk � markers of indicators lights - experts develop indicators - policy makers should be able to read them - citizens should be able to understand them
Introduction Beyond GDP movement In this, an important role is played by two strategic and institutional sectors ... two strategic and institutional sectors ...
Introduction Beyond GDP movement In this, an important role is played by two strategic and institutional sectors ... two strategic and institutional sectors ... - official statistics - education and university system
Introduction Beyond GDP movement In this, an important role is played by two strategic and institutional sectors ... two strategic and institutional sectors ... - official statistics - education and university system
Introduction Beyond GDP movement In Italy
Introduction Beyond GDP movement In Italy ( Fair and Sustainable Wellbeing ) joint initiative of Italian National Council of Economy and Labour (CNEL) and Italian National Institute of Statistics (ISTAT) based on a strong collaboration with the civil society and Academia.
Introduction Beyond GDP movement In Italy intense methodological and conceptual work � opportunity to collect a number of different expertise (statistics, sociology, economics, IT, communication) � around a common theme and a common effort
Introduction Beyond GDP movement In Italy Necessity to create training opportunities in the new perspective of “going beyond GDP” to young statisticians and not only
2. Method The master QoLexity
2. Method The master QoLexity According to the Italian University system, According to the Italian University system, the access to the second level master is possible to anyone in possession of a qualification corresponding to bachelor’s degree (3-year degree) + master degree (2-year degree)
2. Method The master QoLexity “QoLexity” is a neologism “QoLexity” is a neologism coined at the first international workshop of the Italian Association for Quality-of-Life Studies (AIQUAV) held in Florence in September 2011
2. Method The master QoLexity “QoLexity” is a neologism “QoLexity” is a neologism refering to the complex approach to definition, measurement, monotoring and analysis of Quality of Life (defined QoLexity) involving different academic disciplines (philosophy, sociology, psychology, statistics, economics, politics sciences)
2. Method The master QoLexity aims at developing the well-known “ knowledge triangle ”: aims at developing the well-known “ knowledge triangle ”: - innovation (new approaches and new skills in statistics) , - education (methodologies to define, measure, analyse and communicate new issues) - research (also through practical experiences and traineeships)
2. Method Content and didactic organization The master develops four main topics, addressing different questions: How can complexity be conceptually revealed and How can complexity be conceptually revealed and constructed? … CONCEPTUAL DEFINITIONS How can QoL be defined? How can QoL be defined through indicators? How can data be found? … DATA SOURCES AND How can data be collected? COLLECTION QUALITY What are the main technical issues? OF LIFE … … ANALYTICAL TOOLS AND How can the observed pictures be reconstructed? STRATEGIES allowing the whole picture to be How can the whole picture be simplified and shown? reconstructed How can the whole picture be represented? … FINDINGS’ COMUNICATION How can the whole picture be communicated? AND DISSEMINATION How can knowledge be transferred into policy?
2. Method Content and didactic organization Access reserved to students in possession of any second level degree reserved to students in possession of any second level degree (master degree) who had in their curriculum studiorum at least one exam in Statistics
2. Method Content and didactic organization The master provides 60 credits : • 42 credits provided by didactics (252 hours) • 42 credits provided by didactics (252 hours) • 13 credits provided by traineeship (13 credits x 25 hours = 325 hours) • 5 credits provided by the thesis
2. Method Content and didactic organization The master provides 60 credits : • 42 credits provided by didactics (252 hours) • 42 credits provided by didactics (252 hours) • 13 credits provided by traineeship (13 credits x 25 hours = 325 hours) • 5 credits provided by the thesis
2. Method Content and didactic organization The master provides 60 credits : A. Concepts and tools Total: 7 credits – 42 hours o Towards a common language: general concepts and their meanings o Quality of life and related concepts Quality of life and related concepts B. Data Total: 12 credits – 72 hours o Quality-of-Life data o Data collection: C. Analytical approaches Total 15 credits – 90 hours o Indicators: from reality to reading the reality o Indicators: analytical tools and strategies o Quality-of-life data analysis: pathways to modelling o Quality-of-life data analysis: looking for explanations o Making all concrete D. Representing and communicating Total 8 credits – 48 hours o Representing quality-of-life data and results o Communicating quality-of-life results o Putting all together
2. Method Content and didactic organization The master provides 60 credits : • 42 credits provided by didactics (252 hours) • 42 credits provided by didactics (252 hours) • 13 credits provided by traineeship ( 13 credits x 25 hours = 325 hours ) • 5 credits provided by the thesis
2. Method Content and didactic organization The master provides 60 credits : Traineeship Traineeship through not-paid stages at one of the following institutions and organizations: - Italian National Institute of Statistics (ISTAT) - EUROSTAT (2 positions per Academic Year) - OECD - EUROFOUND - Region of Tuscany (different agencies: IRPET ARS, ARPAT) - other institutions and organizations can be contacted also on students’ proposals
2. Method Content and didactic organization Teachers mainly from University of Florence and Italian National Institute of Statistics but also to but also to - European Commission (Eurostat) - GESIS – Leibniz Institute for the Social Sciences - LUISS – Rome - OECD - University “Bocconi” - University of Geneva - University of Milan – Bicocca - University of Pisa - University of Rome “La Sapienza” - University of Rome “Tor-Vergata” - University of Siena - University of Turin
2. Method Content and didactic organization Lessons In Florence and in Rome
3. Results and future plans results Students The first 5 students have discussed their thesis on January 2015. Two attended only few modules Two attended only few modules
3. Results and future plans results Students The first 5 students have successfully discussed their thesis on January 2015. January 2015. Two attended only few modules. They are already working in public administrations and banks, and will be able to apply immediately their new skills in a working environment, either managing their task with more awareness of new methods and techniques or developing new strands of activity in the “Beyond GDP” framework.
3. Results and future plans results Students The first 5 students have successfully discussed their thesis on January 2015. January 2015. Two attended only few modules. Students expressed a high level of participation and the evaluation of the program was quite good, both as a whole and for each module. The mix of theoretical lessons and practical applications, especially those related to the production and use of official statistics directly linked to the BES dimensions, was considered particularly effective.
3. Results and future plans Future plans The project proved to be a practical example of how academia and official statistics can effectively collaborate to create an innovative official statistics can effectively collaborate to create an innovative training offer that make the most of respective strong points, complementing each other’s expertise in a fruitful way.
3. Results and future plans Future plans A new edition of the master has being planned, confirming the collaboration between the University of Florence and ISTAT collaboration between the University of Florence and ISTAT
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