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PARIS21Partnership in Statistics for Development in the 21st
Century
From data to policy action in low income countries: how can
innovation help?
Matjaz Jug
PARIS21Partnership in Statistics for Development in the 21st
Century
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)
Innovation Opportunities
Case studies in the following areas:•Data Collection•New data sources•Crowd sourcing•Visualisation and GIS•Data Dissemination
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.
Using mobile phones for data collection to support OVC in
Tanzania
Tracking Population Movements using Analysis of Mobile Phones
Data in Haiti
Source: irevolution.files.wordpress.com/2011/10/journal-pmed-mobile-phone-haiti.pdf
Use of GIS-enabled Mobile Collection and Visualisation in Surui Carbon
Project
Source: rhiza.com/act/
Web-based Data Catalogue
Source: http://www.ihsn.org/home/software/nada
Technological progress
Open Data
Source: http://theodi.github.io/open-data-barometer-viz/
Enablers
• Standards and frameworks
• Technology• Methods• People• Partnerships
Standards: International Aid Transparency Standard
Source: www.aidtransparency.net/
Technology: Cloud-based Data Storage and Analysis
Source: International Journal of Computer Applications (0975 – 8887) Volume 74 – No.2, July 2013
Methods: Advocacy Monitoring through Analysis of Big Social
Data
Source: http://www.unglobalpulse.org/EWEC-social-data-analysis
People: The Big Idea Pilot
Source: restlessdevelopment.org/big-idea-pilot
Creating An Innovative Ecosystem: Network of Global
Pulse Labs
Source: www.unglobalpulse.org/pulse-labs
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.
TRENDS ENABLERS INNOVATION AREAS
OUTCOMES
Cloud Technology Crowd sourcing Relevant
Mobile People Mobile Data collection
Timely
Social Methods Visualisation Accurate
Big Data Partnerships New Big Data sources
Coherent
Open Data Standards and frameworks
Open Data Dissemination
Accessible and Interpretable