Disaster Aid Tracking Hemang Karelia Global Facility for Disaster Reduction and Recovery (GFDRR) The...
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Transcript of Disaster Aid Tracking Hemang Karelia Global Facility for Disaster Reduction and Recovery (GFDRR) The...
Disaster Aid Tracking
Hemang Karelia
Global Facility for Disaster Reduction and Recovery (GFDRR) The World Bank
Presentation Outline
0. Introduction1. Why do we need it?2. How are we doing it!3. Where have we reached…4. What is so special about it?5. …where do we want to go.
Questions.. Ideas.. Collaboration..
CHALLENGES
GFDRR
AidData
0
Why do we need it?1
Summary from the publication ‘Delivering Aid Differently – Lessons from the Field’ (Fengler and Kharas 2010)
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?
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
1
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
Direct work with Donors
Re-Published from
Aggregators
Collecting From Public Sources
Data Quality Process
AidData
How Are We Doing it – AidData Model
Brazil, India,Czech Republic
World Bank,Kuwait,
China
OECD CreditorReportingSystem(CRS)
Disaster Aid TrackingDisaster Aid Tracking
DR4
2
Methodology
Two-tier approach:I. 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.
II. 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.
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!)
2
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.
3
What’s so special about it?
Disaster Aid Tracking portal 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
4
Disaster Aid Tracking
4
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
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
5
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
5
Mobile Applications
Access DR4 aid information on the go
Locate projects near you Enable citizen feedback Foster accountability and
increase effectiveness
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.
5
Thank you
Ideas
Questions
Collaboration
What next?
5
Contact uswww.aiddata.org
www.gfdrr.org
Hemang Karelia [email protected]
Riccardo De Marchi [email protected]