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Harnessing Innovation for Development in Low-Income Countries: From Data to Policy Action

This article explores how innovation, including new technology, crowd-sourcing, and improved connectivity, can empower people in low-income countries by providing them with information and tools to drive progress towards development targets. Case studies highlight opportunities and challenges in data collection, visualization, and dissemination. Enablers such as standards, technology, methods, people, and partnerships are identified as key success factors.

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Harnessing Innovation for Development in Low-Income Countries: From Data to Policy Action

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  1. From data to policy action in low income countries: how can innovation help? • Matjaz Jug

  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. Innovation Opportunities • Case studies in the following areas: • Data Collection • New data sources • Crowd sourcing • Visualisation and GIS • Data Dissemination

  4. 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.

  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. Web-based Data Catalogue Source: http://www.ihsn.org/home/software/nada

  9. Technological progress

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

  11. Enablers • Standards and frameworks • Technology • Methods • People • Partnerships

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

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

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

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

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

  17. 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.

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