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The role of statistics in evidence-based policy making

Marco Segone, Regional Chief, Monitoring and Evaluation, UNICEF CEE/CIS; Former Vice-President of IOCE Nicolas Pron, Chief, Data Dissemination, UNICEF NYHQ; DevInfo Global Administrator. The role of statistics in evidence-based policy making.

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The role of statistics in evidence-based policy making

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  1. Marco Segone, Regional Chief, Monitoring and Evaluation, UNICEF CEE/CIS; Former Vice-President of IOCE Nicolas Pron, Chief, Data Dissemination, UNICEF NYHQ; DevInfo Global Administrator The role of statistics in evidence-based policy making

  2. Based on UNICEF publication in partnership with World Bank, IDEAS, DevInfo and MICS Authors: 20 senior officersfrom national Governments, local municipalities, UNICEF, WB, IDEAS, DevInfo

  3. What is Evidence-based Policy making? An approach that helps people make well informed decisions about policies, programmes and projects by putting the best available evidence at the heart of policy development and implementation.

  4. Evidence-influenced Evidence-based Technical Capacity Opinion-based Evidence-influenced Policy Environment Putting the best available evidence at the heart of policy making? Single Survey Expert Practice of Political Life Judgement Experience Resources Lobby system ► Think-tank ► Opinion leaders ► Media ► Civil Society

  5. Evidence into practice: Increasing the uptake of evidence in policy making Data Users (Policy Makers, Civil society) Data Providers (Statisticians) Need to improve dialogue How? What ? Why? When? Incentives to use evidence ????? Reliable Data Improving “usability” (Relevance, time and simplicity) Effective access

  6. The “quality” challenge: How to match technical rigour and policy relevance? Technical rigour but no policy relevance Policy relevance but no technical rigour Evidence that is technically rigorous and policy relevant.

  7. ChildInfo 1995 - 2003 UNICEF developed a database to monitor the World Summit for Children offered to the UN system DevInfo v4.0 2004 ChildInfo upgraded and launched with UNDG endorsement in April 2004 UN Endorsement Endorsed by the United Nations to assist Member States in Monitoring human development DevInfo v5.0 2005-2007 New web-enabled version developed and launched with broad government and UN support in May 2006

  8. 92+ national adaptations Partnerships with national statistics organizations and UN agencies

  9. What is the trend in under-five mortality?

  10. Where should education policy be targeted?

  11. DevInfo At Work Database System for Monitoring Human Development Net enrolment ratio in basic education in CEE/CIS 2001-2002 Source: TransMONEE 2004 (ExceptTurkey of which data source is UNESCO) Note: The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations.

  12. DevInfo At Work Database System for Monitoring Human Development Net enrolment ratio in basic education in CEE/CIS 2001-2002 Source: TransMONEE 2004 (ExceptTurkey of which data source is UNESCO) Note: The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations.

  13. DevInfo At Work Database System for Monitoring Human Development Net enrolment ratio in basic education in CEE/CIS 2001-2002 Source: TransMONEE 2004 (ExceptTurkey of which data source is UNESCO) Note: The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations.

  14. Where should early child care programmes be targeted?

  15. Per cent Low Medium High Very high No data TANZANIA Early Child Care Composite Index 1 • Births attended by trained personnel

  16. Per cent Low Medium High Very high No data TANZANIA Early Child Care Composite Index 2 • Births attended by trained personnel • Low birth weight

  17. Per cent Low Medium High Very high No data TANZANIA Early Child Care Composite Index 3 • Births attended by trained personnel • Low birth weight • Underweight

  18. Per cent Low Medium High Very high No data TANZANIA Early Child Care Composite Index 4 • Births attended by trained personnel • Low birth weight • Underweight • Diarrhoea cases

  19. Per cent Very low Low Medium High No data TANZANIA Early Child Care Composite Index 5 • Births attended by trained personnel • Low birth weight • Underweight • Diarrhoea cases • DPT immunization

  20. Index Very low Low Medium High No data TANZANIA Early Child Care Composite Index

  21. How can census data be used for rapid response in emergency situations?

  22. 2,519,000 people ZAMBIA Buffer zone radius = 200 km

  23. Where is development aid spent?

  24. devinfo.org

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