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STATISTICAL TRAINING AT THE INTERNATIONAL LEVEL –
CONFERENCE OF EUROPEAN STATISTICIANS
Paris, 12-15 June 2006
Richard LauxOffice for National Statistics, UK
Overview
• Summary of Papers
• Characteristics of Statistical Training (by International Organisations)
• Existing good practice, and areas for development
• Issues for discussion
Summary of Papers - Eurostat
• ESTP
• Collaborative approach
• Network of HR experts
• Scope / reach
Summary of Papers - IMF
• Survey of International Organisations– small training budgets– English is the dominant training language– recent growth in training– better co-ordination is required in providing
technical assistance– organisations need to make more of the
potential of the internet, for training– the training gap
• IMF experience
Summary of Papers - SIAP
• Mission
• TMA Programme
• Outreach Programme
• Scope/reach
Characteristics of Statistical Training
• Objectives– National level– International level
• Key elements of (international) statistical training
– Planning– Delivery– Review
Good practice, and areas for development - Planning
Good practice• Demand driven• Development by
stakeholders• Experts involvement• Economies of scale
Areas for development• Secure funding• List of experts• Better co-ordination of
technical assistance
Good practice, and areas for development - Delivery
Good practice• Importance of
accessibility – relevance – flexibility – high tech
• Networking opportunity
• Goodwill from host countries
Areas for development• To train the trainers,
and to improve cascading
• Greater use of e-learning
• Meeting unmet demand
Good practice, and areas for development - Review
Good practice
• Post-course feedback
Areas for development
• Evaluate impact of learning
• Clarify objectives of training programmes upfront
Summary of issues
Planning• Long term benefits of
training• Emerging issues• Collaboration• Increasing demands
for training/TA• What is quality
training?
Delivery• Use of e-learning/web
Review• Measuring the impact• An international
statistical competence framework?
Issues for Discussion – 1Resources
Training can be resource intensive, with direct and opportunity costs. But it is widely recognised as a vital investment.
How can the statistical community work together to make a stronger case for appropriate resources to be made available for training?
Issues for Discussion – 2Skills and Competences
Official statisticians are increasingly being asked different sorts of questions; at the same time we have more tools and more data available to us.
Are our skills developing in order to meet these needs? Do we need core competences for official statisticians, which might include the skill of ‘training’ ?
Issues for Discussion – 3Better co-ordination
The CCSA is considering ways of increasing the co-ordination of statistical training for staff in international agencies. It would seem desirable to extend this co-ordination, where appropriate, to staff in NSIs and ministries.
What are the barriers to a more global, less-fragmented approach to statistical training, and how might they be overcome?