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Capacity development 4.0 an update

Explore the concept of Capacity Development 4.0, examining its three levels (individuals, organizations, and system/enabling environment). Identify gaps and challenges, such as the political economy of statistical capacity and the importance of soft skills. Discuss new challenges like producing data on new domains and increasing public trust in statistics. Develop guidelines and propose ideas for measuring and improving capacity development.

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Capacity development 4.0 an update

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  1. Capacity development 4.0an update 2018 PARIS21 ANNUAL MEETINGS 5 APRIL 2018

  2. 1 Conceptual framework

  3. Reminder of sub-group objective: Define Capacity Development 4.0 considering three levels • Individuals • Organisations • System / Enabling environment Identify gaps and new challenges

  4. Capacity Development 4.0 “The process through which a country’s national statistical system, its organisationsand individuals obtain, strengthen and maintain their abilities to collect, produce, analyse and disseminate high quality and reliable data to meet users’ needs”

  5. Gaps and overlooked aspects Political economy of statistical capacity Soft skills National ownership

  6. New challenges Produce data on new domains Increase public trust in statistics Educate citizens in distinguishing reliable from unreliable data

  7. CD 4.0 in a nutshell Resources Individual Skills and Knowledge Organization Management Politics and power System Incentives From: Denney, L. and Mallett, R. with Benson, M. S. (2017) Service delivery and state capacity: findings from the Secure Livelihoods Research Consortium. London: Secure Livelihoods Research Consortium.

  8. 2 operationalisation

  9. Reminder of objectives:  Describing current practices in CD  Identifying “success criteria” for CD  Develop guidelines for CD 4.0

  10. Current practices Mainly technical support • training on technical skills • data collection exercises • alignment with international standards Usually no clear objectives for capacity development Little attention to data use

  11. Current practices (II) Percentage of NSO employees trained in 2017 Funding differs between regions Proportion of trained employees varies between regions and others Sources of budget for training in 2017 (Relative frequency)

  12. Success criteria • Accountability for project management • Effective absorption of new knowledge and/or processes • Comprehensive approach • Adaptability to the local environment • Project sustainability (outcomes and financing)

  13. 3 measurement

  14. Reminder of objectives:  Identify how capacity is currently measured • Detect overlaps • Detect gaps in measurement  Propose ideas for solving gaps  Improve current questions and reduce country burden

  15. Current measurement • Mostly focused on organisational skills and knowledge and systemic resources • Gaps in measurement at the individual level and incentives, as well as skills and knowledge at the systemic level

  16. Proposals for solving gaps Existing indicators for “orphan” categories highlighted E.g. Data literacy: Does the NSO work closely with the media in their training and communication programs? (StatDI) Ideas for new indicators E.g. work ethics and motivation: Number of sanctions (following the organisations’ code of conduct) in the past year

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