1. informing a data revolution right data, to the right people, at the right time, in the right format From data to policy action in low income countries: how can innovation help? Bangkok Regional Workshop July 17-18,2014

2. a call for action “We should actively take advantage of new technology, crowd sourcing, and improved connectivity to empower people with information on the progress towards the targets.” (From the UN Report of the High-Level Panel of Eminent Persons on the Post-2015 Development Agenda)

3. challenges Difficult direct data collection due to the low penetration of technology. Difficult access to households. Affordability of traditional methods of data collection. Administrative data sources from the government not available or not fit for the purpose. Poor timeliness for example information becomes available for analysis and policy action years after it has been collected. Lack of data at the dis-aggregated level that would be required to inform policy action. Information sharing and transparency is not widely adopted. Lack of skills and expertise to analyse and use data for policy action.

4. innovation opportunities Case studies in the following areas: Mobile Data Collection New Data Sources Crowd sourcing Visualisation and GIS Real-time collection and analysis Open Data Dissemination

5. Using mobile phones for data collection to support OVC in Tanzania

6. Tracking Population Movements using Analysis of Mobile Phones Data in Haiti Source: irevolution.files.wordpress.com/2011/10/journal-pmed-mobile-phone-haiti.pdf

7. Use of GIS-enabled Mobile Collection and Visualisation in Surui Carbon Project Source: rhiza.com/act/

8. Demographic Explorer for Climate Adaptation (DECA) | Semarang, Indonesia

9. Real-time Data Monitoring

10. New ways of disseminating knowledge

11. Technological progress

12. Open Data Source: http://theodi.github.io/open-data-barometer-viz/

13. Enablers Standards and frameworks Technology Methods People Partnerships Funding

14. Standards: International Aid Transparency Standard Source: www.aidtransparency.net/

15. Technology: Cloud-based Data Storage and Analysis Source: International Journal of Computer Applications (0975 – 8887) Volume 74 – No.2, July 2013

16. Methods: Advocacy Monitoring through Analysis of Big Social Data Source: http://www.unglobalpulse.org/EWEC-social-data-analysis

17. People: The Big Idea Pilot Source: restlessdevelopment.org/big-idea-pilot

18. Creating An Innovative Ecosystem: Network of Global Pulse Labs Source: www.unglobalpulse.org/pulse-labs

19. Funding: Rapid Impact and Vulnerability Analysis Fund (RIVAF) Launched by the Global Pulse Initiative in December 2009 with funding from the UK’s Department for International Development (DfID) and the Government of Sweden. Supports innovative, real-time data collection and analysis to help develop a better understanding of how vulnerable populations cope with impacts of global crises. The RIVAF report includes summaries from eight research projects. Findings from the individual research projects revealed fascinating insights, painting a diverse picture of the impacts of global crises.

20. Key Success Factors Pilot project approach provides staged and controlled environment to test how would innovation work in practice. Use of technology and methods, suitable for the environment in low-income countries, for example mobile infrastructure, GIS and visualisation. Leveraging alternative data sources by using crowd sourcing and harnessing new big data sources. Development, use and promotion of open data standards and practices to enable reuse of data and increase transparency. Partnerships across development organisations, government and private sectors that are crucial to mobilise skills and capabilities required for implementation.

21. TRENDSENABLERSINNOVATION AREAS OUTCOMES CloudTechnologyCrowd sourcingRelevant MobilePeopleMobile Data collection Timely SocialMethodsVisualisationAccurate Big DataPartnershipsNew Big Data sources Coherent Open DataStandards and frameworks Open Data Dissemination Accessible and Interpretable