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FUTURE TRENDS ON STATISTICAL CAPACITY DEVELOPMENT

FUTURE TRENDS ON STATISTICAL CAPACITY DEVELOPMENT. Workshop on New Approaches to Statistical Capacity Development 11-12 December Paris. Outline. What will influence statistical CD in 10 years? Relating trends to the CD4.0 framework Looking forward.

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FUTURE TRENDS ON STATISTICAL CAPACITY DEVELOPMENT

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  1. FUTURE TRENDS ON STATISTICAL CAPACITY DEVELOPMENT Workshop on New Approaches to Statistical Capacity Development 11-12 December Paris

  2. Outline What will influence statistical CD in 10 years? Relating trends to the CD4.0 framework Looking forward

  3. What are the capabilities in 10 years? Targets Levels Where will capacity development targetin 10 years... Resources Individual Skills and Knowledge Organization Management Politics and power System Incentives

  4. Trend I: a shifting demand for skills Projections of job creation and destruction by sectors by 2030

  5. Digitalisation at different speeds • Relatively low digitization • Relatively high digitization Assets Labor Digital Capital Deepening Digital Spending Digital Spending Overall Digitization • Sector Leaders in digitization in most economies. Critical engines of economic performance and of high quality employment • Financial Services • ICT • Utilities • Mining • Media Sectors typically in mid-range of digitization. Critical as very high employment sectors and for role played in citizen welfare • Government • Manufacturing • Transportation & Warehousing • Healthcare • Wholesale/Retail Governments typically lag other sectors, despite importance as employers and providers of public services • Oil & Gas • Agroindustry • Professional Services • Education • Other services 10x to 20x difference in digitization between Financial Services and lowest performing sectors: other services, agroindustry, education and professional services 1 Source: Gartner’s Enterprise IT Spending by Vertical Industry Market, Worldwide, 2014-2020

  6. Skills for innovation in public sector Source: OECD (2017) Innovations and skills in the public sector. Building capabilities in Chile.

  7. Trend II. Results-based frameworks Source: OECD Development Cooperation Report 2017: Data for Development

  8. Trend III. Legitimacy for a post-truth era Using a language people understand From books to tweets and vids Listening and talking to the ‘right people’ JO DANGER Jargon Monoxide Civic tech and public engagement

  9. Trend IV. A changing financing landscape • Emerging donors complementing and crowding-out traditional actors • Domestic resource mobilisation and increasing alignment to MTFF • New mechanisms: PPPs, Global Funds for Data…

  10. Trend V. Big data and new models • New business models … • Voluntary, collaborative agreement for broader coverage (coverage bias) • Covers different stages of “data value chain” • Cost effectiveness / Timeliness / Granularity • Data accessibility, privacy and confidentiality • …adapting the Knowledge base • Skills fragmentation in statistical CD • Open innovation/ strategic partnership • Tightening ties with academia Data science vs official statistics curricula • Data governance.

  11. Capacity in new data ecosystem Big data New financing models Skills 21st century RBM SDGs Post-truth

  12. Relevance vs uncertainty More relevant Skills 21st century RBM SDGs New financing models Post-truth Lesscertain More certain Big data Lessrelevant

  13. Questions for the audience • What other trends could determine statistical CD in the medium term? • Can we think of 2 potential scenarios for developing stats capacity? • Translating trends into concrete actions for the CD4.0 Task Team

  14. Thank you

  15. Capacity in new data ecosystem

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