Tracking Development Aid : Innovations in Data Visualization and

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Transcript Tracking Development Aid : Innovations in Data Visualization and

Tracking Development Aid :
Innovations in Data Visualization
and Prospects for Tracking Aid for
Climate Change Adaptation
Dr. Catherine Weaver
University of Texas at Austin
CCAPS Research Areas
Climate change vulnerability
1. Climate change vulnerability model
2. Climate projection model
Climate and conflict
3. Social Conflict in Africa Database
4. Armed Conflict Location and Event Data
Governance
5. Constitutional design and conflict management
6. Democratic governance
7. Emergency response capacity
International aid
8. Tracking and Geomapping Climate Change Adaptation Aid
CCAPS
The Politics of Data:
Empirical Challenges to
Tracking and Geomapping
Climate Aid
CCAPS
Step
1:
An example:
Malawi
Overcome the
poverty of
subnational
project level data
on ODA flows
CCAPS
An example: Malawi
Water
Water
Agriculture
Agriculture
CCAPS
CCAPS
Step 2: Geocoding
• Use of AidData
geocoding
methodology (used
in World Bank
Mapping for Results
initiative)
• Ability to geocode
dependent on
quality of project
documents (huge
variation across
donors)
CCAPS
Step 3: Climate Coding
•
No established robust
coding or reporting
method for capturing
adaptation aspects of ODA
projects
•
Adaptation is usually
integrated or
mainstreamed into
traditional development
projects
•
Debate over “what counts
as adaptation” and what
kind of adaptation (or
maladaptation) exists
within projects
2011 Pilot Study:
Malawi
•
MOU with Ministry of Finance in Malawi (Jan.2011)
•
Identification of ODA projects (all donors, all sectors)
through AMP system developed by Development Gateway
•
Fieldwork conducted in March and 2011 to collect all active
project documents (~800) from 29 ODA donors reporting to
the AMP system
•
Geocoding conducted by team of CCAPS and AidData
interns, summer-fall 2011
•
Climate Coding in progress – to be vetted by expert group
in November 2011 at CCAPS Climate Aid Tracking Workshop
•
“Groundtruthing” and further qualitative fieldwork in 20122014.
•
Scaling Up: All-Africa Geocoding and Climate Coding by
2015.
CCAPS
EARLY RESULTS
•Locations of
individual projects for
all ODA donors
•Dynamic maps
•All sorts of overlays
and data mash-ups
possible
CCAPS
Next Steps:
CCAPS Data Dashboard
CCAPS Dashboard (wireframe)
CCAPS Dashboard (wireframe)
Why Aid Data Visualization Matters
•
Enhance donor-donor and donor-recipient coordination.
•
Strengthen country ownership, project feedback and
accountability.
•
Facilitate development planning and budget management.
•
Provide powerful analytical tool for scholarship on aid, climate
change and development.
•
Help to determine whether UNFCCC commitments to “new and
additional finance” are being met and whether adaptation and
mitigation aid is targeting the most vulnerable areas.