Disaster Aid Tracking

1. Disaster Aid Tracking Hemang Karelia Global Facility for Disaster Reduction and Recovery (GFDRR) The World Bank

2. Presentation Outline 0. Introduction • Why do we need it? • How are we doing it! • Where have we reached… • What is so special about it? • …where do we want to go. Questions.. Ideas.. Collaboration.. C H A L L E N G E S

3. 0 GFDRR AidData

4. 1 Why do we need it? Summary from the publication ‘Delivering Aid Differently – Lessons from the Field’ (Fengler and Kharas 2010)

5. 1 Turning Aid Information into Impact In the face of Disaster Risk Management: • How can donors, recipients and NGOs better coordinate their efforts? • How can governments better plan their budgets and optimize external and domestic resources for Disaster Risk Reduction, Recovery and Reconstruction (DR4)? • How can citizens provide feedback on aid projects? • How can the trends and lessons learnt from past interventions help us doing better job in on-going and future efforts?

6. 1 By Improving DR4 Aid Information • Increase the Value of DR4 Information • Align all activities with global standards, such as HFA priorities for DRR, IATI standards for Aid Transparency and most importantly, OECD CRS classification codes for global inter-operability • Improve descriptions of aid activities • Maintain or improve data quality • Make aid information accessible to all • Increase the Coverage on DR4 Activities • Publish non-traditional donors • Include flows not classified as Official Development Assistance (ODA) • Expand into private and foundation aid

7. 2 How Are We Doing it – AidData Model Direct work with Donors Collecting From Public Sources Re-Published from Aggregators OECD CreditorReportingSystem(CRS) Brazil, India,Czech Republic World Bank,Kuwait,China Data Quality Process AidData DR4 Disaster Aid Tracking

8. 2 Methodology Two-tier approach: • Added 11 sub-sector “activity” codes in line with 5 HFA priority areas, and further classified projects to get enhanced granularity for DR4 projects. Used UNISDR’s DRR Terminology as a key reference. • Scanned other 20 activity codes in other Purpose-codes where DR4 related projects could be found and double-coded them to be part of Disaster Aid Tracking.

9. 2 The Effort • Identified over 70,000 projects out of 900,000 that indicated high-relevance to DR4 • Arbitration process and Quality check led by Senior Arbitrators using AidData technology • Included 67,000 projects in the CRS spanning from 1973 to 2008 ($98 B in USD 2000) and 3,000 projects from non-OECD members ($23 B in USD 2000) • Identified projects into roughly 54,000 unique descriptions • 20 Research Assistants double coded each of the unique descriptions (54,000 projects x 2!)

10. 3 Where have we reached… • Double coded all projects in the sectors identified as potentially having DRM projects in them.   • Adapted AidData arbitration system to process records according to the GFDRR coding scheme.   • Finalized the technical implementation of the Disaster Aid Tracking portal and dashboard. • Conducted a series of informal interviews with data specialists and other experts to gather feedback on how we can improve the dashboard.

11. 4 What’s so special about it? Disaster Aid Trackingportal • Isolated and classified all DR4 projects in-line with HFA* priorities for action • Open source and collaborative technology • Rich data visualization tools (dashboard) for effective reporting and decision making • Application Programming Interface (API) • Widgets to share • Fully compatible with OECD CRS * Hyogo Framework of Action for Disaster Risk Reduction

12. 4 Disaster Aid Tracking

13. 5 Where do we want to go • Geocoding all disaster related projects • Allow crowd-sourcing in aid information management and reporting • Community-based Monitoring and Evaluation • Mobile Applications • Allow posting of a project specific reports and knowledge products

14. 5 Geocoding • Partnership with the World Bank • How we help • Tag exact location of aid projects • Show over- and under-served areas • Make aid information accessible to non-experts • Increases transparency • Locate areas of greatest need • View locations of off-budget projects • Decreases duplication and waste • Enable accountability at the local level

15. 5

16. 5 Aid Data and the Crowd • Need for On-the-ground Aid Information • Lack of information about outcomes • No reliable mechanism to give recipients a voice in aid • Little coordination on the ground • Opening AidData to Make DR4 Aid Better • Empower recipients and civil society to give feedback on DR4 projects • Improve quality of aid information • Increase transparency in the aid management process • Enhance accountability in disaster related interventions

17. 5 Mobile Applications • Access DR4 aid information on the go • Locate projects near you • Enable citizen feedback • Foster accountability and increase effectiveness

18. 5 Next steps • To get the DR4 project classification methodology peer-reviewed and endorsed in close collaboration with ISDR system, OECD, major donors and think-tanks/experts. This will essentially involve: • Freezing the definitions and classification criteria for disaster related terms. • Establishing a protocol for quantifying DR4 component in multi-sector projects. • Implementation • To extend the system in phased manner for national DRR platforms/aid coordinating agencies.

19. 5 Thank you • Ideas • Questions • Collaboration • What next?

20. Contact us www.aiddata.org www.gfdrr.org Hemang Karelia hkarelia@worldbank.org Riccardo De MarchiTrevisan rdemarchi@developmentgateway.org