NTTS Conference Brussels Brussels March 10-13, 2015 Going beyond - - PowerPoint PPT Presentation

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NTTS Conference Brussels Brussels March 10-13, 2015 Going beyond - - PowerPoint PPT Presentation

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


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NTTS Conference

Brussels Brussels March 10-13, 2015

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Going beyond GDP: a challenge also for training statisticians. statisticians. A new Master proposal and experience

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Going beyond GDP: a challenge also for training statisticians.

Filomena Maggino

Università degli Studi di

statisticians. A new Master proposal and experience

Università degli Studi di Firenze (Italy)

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Going beyond GDP: a challenge also for training statisticians.

Maria Pia Sorvillo

National Institute of Statistics

statisticians. A new Master proposal and experience

National Institute of Statistics (Italy)

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Beyond GDP movement

Introduction

Are indicators enough?

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Beyond GDP movement

Introduction

The cockpit metaphor

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Beyond GDP movement

Introduction

The cockpit metaphor an airplane a community the flight desk governance lights markers of indicators

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Beyond GDP movement

Introduction

The cockpit metaphor an airplane a community the flight desk governance lights markers of indicators

  • experts develop indicators
  • policy makers should be able to read them
  • citizens should be able to understand them
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Beyond GDP movement

Introduction

two strategic and institutional sectors ...

In this, an important role is played by

two strategic and institutional sectors ...

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Beyond GDP movement

Introduction

two strategic and institutional sectors ...

In this, an important role is played by

two strategic and institutional sectors ...

  • official statistics
  • education and university system
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Beyond GDP movement

Introduction

two strategic and institutional sectors ...

In this, an important role is played by

two strategic and institutional sectors ...

  • official statistics
  • education and university system
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Beyond GDP movement

Introduction

In Italy

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Beyond GDP movement

Introduction

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.

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Beyond GDP movement

Introduction

In Italy

intense methodological and conceptual work

  • pportunity to collect a number of different expertise

(statistics, sociology, economics, IT, communication)

  • around a common theme and a common effort
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Beyond GDP movement

Introduction

In Italy

Necessity to create training opportunities in the new perspective of “going beyond GDP” to young statisticians and not only

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The master QoLexity

  • 2. Method
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The master QoLexity

  • 2. Method

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)

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The master QoLexity

  • 2. Method

“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

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The master QoLexity

  • 2. Method

“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)

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The master QoLexity

  • 2. Method

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)
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Content and didactic organization

  • 2. Method

The master develops four main topics, addressing different questions:

How can complexity be conceptually revealed and QUALITY OF LIFE … … CONCEPTUAL DEFINITIONS How can complexity be conceptually revealed and constructed? How can QoL be defined? How can QoL be defined through indicators? … DATA SOURCES AND COLLECTION How can data be found? How can data be collected? What are the main technical issues? … ANALYTICAL TOOLS AND STRATEGIES allowing the whole picture to be reconstructed How can the observed pictures be reconstructed? How can the whole picture be simplified and shown? … FINDINGS’ COMUNICATION AND DISSEMINATION How can the whole picture be represented? How can the whole picture be communicated? How can knowledge be transferred into policy?

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Content and didactic organization

  • 2. Method

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

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Content and didactic organization

  • 2. Method

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
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Content and didactic organization

  • 2. Method

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
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Content and didactic organization

  • 2. Method

The master provides 60 credits:

  • A. Concepts and tools

Total: 7 credits – 42 hours

  • Towards a common language: general concepts and their meanings
  • Quality of life and related concepts

Quality of life and related concepts

  • B. Data

Total: 12 credits – 72 hours

  • Quality-of-Life data
  • Data collection:
  • C. Analytical approaches

Total 15 credits – 90 hours

  • Indicators: from reality to reading the reality
  • Indicators: analytical tools and strategies
  • Quality-of-life data analysis: pathways to modelling
  • Quality-of-life data analysis: looking for explanations
  • Making all concrete
  • D. Representing and communicating

Total 8 credits – 48 hours

  • Representing quality-of-life data and results
  • Communicating quality-of-life results
  • Putting all together
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Content and didactic organization

  • 2. Method

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
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Content and didactic organization

  • 2. Method

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

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Content and didactic organization

  • 2. Method

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
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Content and didactic organization

  • 2. Method

Lessons

In Florence and in Rome

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results

  • 3. Results and future plans

Students The first 5 students have discussed their thesis on January 2015. Two attended only few modules Two attended only few modules

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results

  • 3. Results and future plans

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

  • f activity in the “Beyond GDP” framework.
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results

  • 3. Results and future plans

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.

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Future plans

  • 3. Results and future plans

The project proved to be a practical example of how academia and

  • fficial statistics can effectively collaborate to create an innovative
  • fficial 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.

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Future plans

  • 3. Results and 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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Future plans

  • 3. Results and future plans

The master can be a natural step forward for students after the European Master of Official Statistics (EMOS) European Master of Official Statistics (EMOS)

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Future plans

  • 3. Results and future plans
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The experience

  • 4. Conclusions

The experience of addressing training issues in the field of “Beyond GDP” measurement proved to be fruitful. The pilot edition of the master was also useful to test the collaboration between an academic establishment and a national statistical institute with respect to an high-level training initiative.

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The experience

  • 4. Conclusions

Need

  • improve communication towards the potential participants
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The experience

  • 4. Conclusions

Need

  • improve communication towards the potential participants

New ways to disseminate information, in addition to those already used such as the institutional web sites of the two organizations,

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