The location of aid and why it is so important for governments and donors. A presentation about different mapping and geospatial initiatives at the World Bank, held by Pernilla Näsfors at Location Day in Malmö, Sweden on December 6, 2013.
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Location of Aid - Putting Development on the Map
1. Location of Aid
Putting Development on the Map
Pernilla Näsfors, Development Data Specialist
Open Aid Partnership, World Bank Innovation Labs
Location Day, Malmö, December 6, 2013
2. "Like slavery and apartheid, poverty
is not natural. It is man-made and it
can be overcome and eradicated by
the actions of human beings."
– Nelson Mandela, 1918-2013
3. World Bank Goals
• Ending Extreme Poverty
– Decrease the percentage of people living with less
than $1.25 a day to no more than 3% by 2030
• Promoting Shared Prosperity
– Promote income growth of the bottom 40% of the
population in each country
4. Why is the Location of Aid so important
for governments and donors?
• To better understand within-country aid allocation
and identify underserved regions
• To better monitor on-the-ground progress of
development activities
• To enable donors to better coordinate and
harmonize efforts
• To enable visualization of the data and enhance
accessibility at the local level
5. World Bank Aid Programs Supporting
Mapping and Geospatial Initiatives
…
6. Mapping for Results
30,000
Different aspects of the
project (sectors)
Investment in sector
by volume
Locations of WB
financed projects
Sub-national MDG
indicators
maps.worldbank.org
Project results
profile
8. Objectives of the Open Aid Partnership
• Strengthen capacity of partner countries
to collect, curate and publish development data in an open and
accessible format
• Develop an Open Aid Map
to visualize the locations of development activities on a common
mapping platform
• Build capacity of citizens, civil society and the
media
to understand, use and give feedback on open development data
Bolivia, Canada, Czech Republic, Estonia, Finland, Kenya, Malawi, Nepal, Netherlands, Spain, Sweden,
United Kingdom, USAID, African Development Bank, Akvo, Development Initiatives, Foundation
Center, InterAction, ONE, Publish What You Fund, UN-Habitat and World Bank Group
9. Turning Aid Reporting Upside Down
Bolivia: Country-owned development data at the subnational level
11. Using data to track
progress on
development at a
more local level
Data sources:
National Statistics Office (NSO). (2011). Malawi Third Integrated
Household Survey 2010/2011. Zomba: National Statistics Office.
Christian Peratsakis, Joshua Powell, Michael Findley, Justin Baker
and Catherine Weaver. 2012.
Map author: Qiyang Xu, World Bank Institute
12. Exciting Citizens About Open Development Data
Data Literacy
Bootcamps in
Malawi, Nepal,
and Bolivia
13.
14.
15. Planning, monitoring of public services as well as
engaging with citizens requires good data on
social infrastructure
16. Kenya: Accuracy of school and hospital locations below 50%
Comparison of locations of 100 random-sampled health
facilities and all primary schools on Kenya Open Data site
with satellite imagery:
Exact Match (%)
Primary
School
Health
Facility
Close Match (%)
No Match (%)
22.2
30.6
47.2
21.6
28.3
50.1
17. Senegal, Laos, Togo, Haiti: Roads data often offtrack
Exact Match (%)
Close Match (%)
No Match (%)
Senegal
0.0
38.4
61.6
Laos
0.0
73.9
26.1
Togo
0.0
89.5
10.5
Haiti
0.0
82.1
17.9
20. Voluntourists could gather location data
• Locations of hospital, schools, water points, etc.
• App records location, pictures, short survey
21. "Overcoming poverty is not a gesture
of charity. It is an act of justice. It is
the protection of a fundamental
human right, the right to dignity and a
decent life. While poverty persists,
there is no true freedom."
– Nelson Mandela, 1918-2013
Editor's Notes
When I speak about Development, it is not Software Development, but International Development - getting people out of poverty.
More than 1 billion people still live in deep poverty
When you look at poverty data, you need to look at the subnational level of a country. If you look at countries like India and China, regional differences can be huge. You even have big differences within the same city, which is probably true for every city of the world, that there are rich and poor areas. Help aid donors and government understand these differences so that they better target their work to the poorest locations.
For the first time Bolivia is putting its development projects on a map – government reported data, not donor reportedMap shows that donor projects are relatively well aligned with poverty Darker colored districts shows higher poverty levelAll data will be public in an IATI format on the new Open Aid Partnership website and on the governments own website (built on the same open source Open Aid Map platform, financed by the OAP)
Open aid maps can inform donor collaboration and understanding of where different donors workThis map was produced for the UN Secretary-General Ban Ki-moon and World Bank President Jim Yong Kim joint trip to the Great Lakes Region in MayCombining and visualizing World Bank and UN geocoded data representing a part of their broader commitment to work more closely togetherThe map shows World Bank and UN agency portfolios in the Democratic Republic of Congo (DRC)Portfolios compliment each other. UNDP is mostly in the fragile areas in east, and the World Bank in high poverty areas in the west
3-day intensive open data bootcamps held in Bolivia, Malawi and Nepal during June 2013More than 300 participants from civil society, academia, the media and tech communitiesTrained participants to extract, clean, and visualize data, and use open data to build tools that empower citizensTrainers from Kenya went to Nepal and Malawi and shared experiences from Kenya Open Data Initiative and Code4KenyaBootcamps in Bolivia and Malawi connected over Skype
Visualizingdata using maps. Maps can tell stories.
Georesults results stories.
Pictures show that in Bolivia, infrastructure data are available but in non-digital formatDecision support for allocating resourcesSupporting policies makingDisaster preparednessOpenDRI (Open Data for Resilience Initiative) usesfacility location dataset to estimatelikely effects of future disaster eventsHaiti Earthquake 2008: Aid organizations and rescue teams used crowdsourced maps to direct and coordinate relief efforts.
Developing countries have social infrastructure datasets that are of poor qualityResearch did for Open Data Kenya portal
Community Mapping in Tandale, Tanzania - Adding an informal settlement to OpenStreetMapOver the last year, local residents of the informal settlement of Tandale within Dar Es Salaam made extensive additions to OpenStreetMap - essentially putting their community on the map.The project was implemented by GroundTruth Initiative and done in partnership locally with Ardhi University, CCI, and Dar es Salaam City Council with support from the World Bank and Twaweza. http://explore.ramanitanzania.org/http://developmentseed.org/blog/2012/aug/14/community-mapping-tandale-tanzania/