2. WhoWeAre,WhatWeDo…
Researchprogramco-ledby the International Food
PolicyResearchInstitute (IFPRI, CGIAR) and
Universityof Minnesota.
Wegeneratedata productsto help guide
strategicinvestments for moreproductive and
profitablefarming in sub-SaharanAfrica.
Wedo this through:
• Harmonizedand geo-referenced datasets at
administrative unitsdown to 10-km grid
• Analytics,modeling and data visualization tools
• Flagshipstudies,atlases
3. Questionswearepassionateabout…
Whereare the poor and what is
theirwelfarestatus?
Which farming systemsdo the
poormost depend?
How best to tune productivity
targetsto different sub-national
conditions?
What arethe constraints affecting
on-farmproductivity, technology
adoption, and marketintegration?
What investments in technologies
andpractices might best address
thoseconstraints?
What is the aggregatelandscape
of investments acrossthe region?
What arethe benefits of
investmentson productivity, farm
incomeand ultimately,the
reduction of povertyand hunger,
andincome distribution?
5. IMPACT…
Where is HarvestChoice open data making a
difference?
Bill & Melinda Gates Foundationstrategy refresh, country and
value-chain targeting
G-8New Alliance priority-setting tools
USAID Feed the Future selection of target and control trial
sites (M&E)
Spatial analysis of aid effectiveness, etc.
7. G8New
Alliance
Value-chain
priority-setting
tool
Ghana:value-chain
prioritization.
Which CAADP value
chains to focus on?
What 10-year yield
targets are
achievable?
Prototype for each country to be populated by IFPRI/HarvestChoice based on
available secondary data sources
National teams will adapt as needed and validate or replace data sources
Prioritization criteria
andweighting
Baseline
production/adoption
Yield
targets
Outcome
indicators
10. HarvestChoice data may be found under 6 major research topics http://harvestchoice.org/topics
ExploreHarvestChoiceTopics
11. Download data layers in ASCII raster and CSV formats http://harvestchoice.org/map
Download,Map,andTabulate…
12. Use Mappr to browse and download indicator maps http://harvestchoice.org/mappr/
HarvestChoiceMappr
#1 Select
indicators
#2 Toggle and re-
arrange layers
#3 Generate
zonal statistics
#4 Save reports
13. Use Mappr to generate point-based and zonal statistics http://harvestchoice.org/mappr/
HarvestChoiceMappr
14. Create and download your own custom tables using Tabler at http://harvestchoice.org/data/
Public release planned for mid-May 2013.
HarvestChoiceTabler #2 Pivot and
summarize
#1 Select
indicators
15. HarvestChoice launching new data API at http://dev.harvestchoice.org/harvestchoiceapi/0.1/
Public release planned for mid-May 2013.
HarvestChoiceDataAPI
16. COMINGNEXT…
We need to better our understanding of:
Footprintof agricultural technologiesin sub-Saharan Africa
Not only bio-physical, but also socio-economicand
institutionalconstraints to technology adoption
Current and future landscape of public and private
agricultural investment in the region
17. Augmenting –and validating- HarvestChoice data layers and models with sub-national farm household
characteristics, farm management practices, production, consumption and nutrition estimates.
PartneringUp MappingAgriculturalCensus,DHSandLSMS-
ISASurveys DHS Child Stunting Prevalence
TZA AC 2007 – Tomato Yield
18. Showing target zones for planned agricultural investments http://csi.maps.arcgis.com/home/
PartneringUp MappingCGIARResearchProgramsand
CAADPCountryInvestmentPlans
19. About
IFPRI ifpri.org
TheInternational Food Policy Research Institute(IFPRI)
seekssustainablesolutions for endinghunger and
poverty.IFPRI isone of 15 centers supportedby the
ConsultativeGroup on International Agricultural Research
(CGIAR),an alliance of 64 governments,private
foundations,and internationaland regional
organizations.
HarvestChoice harvestchoice.org
HarvestChoicegenerates knowledge products to help
guidestrategicinvestments to improve thewell-being of
poor people in sub-Saharan Africa through more
productiveand profitable farming. To do this,a noveland
spatiallyexplicitevaluationframework is being
developedand deployed. By design,primary knowledge
productsare currently targetedto theneeds of
investors,policymakers and program managers, aswell
as theanalysts andtechnical specialistswho support
them.Most decisions that HarvestChoicetargetsare
thosehaving implicationsthat cut across country
boundaries.
HarvestChoiceTeam at IFPRI
MarkRosegrant / Co-PI (Interim)
JawooKoo / Crop Modeling, SpatialAnalysis
CarloAzzarri / Micro-economics
ZheGuo / GIS Coordinator, SpatialAnalysis
UlrikeWood-Sichra / Database,StatisticsManagement
IvyRomero / Program Coordinator
CecileMartignac / Participatory GIS, SpatialAnalysis
MelanieBacou/ Economist
MariaComanescu / Developer
CindyCox / Technical Writer
NaomieSakana / Farming Systems modeling
SteveKibet / DataManagement in East Africa
Notes de l'éditeur
Data and tools available on our website and what we have in the pipeline for 2013.
Questions are reflected on our website. Change that one, only photos, bullets
What that means in practice.Sources of data, harvested area (SPAM), rainfall (University of East Anglia Climatic Research Unit (CRU).), soil (Geoderma ), seasonality () => yield potential gaps
Very concrete and pragmatic questions and applications
How HC data is being used, Why geography matters: HarvestChoice spatial layers in BMGF Project Mapping Tool. Combining investment mapping with geographic analysis (spatial queries) – juxtaposing planned with on-the-ground activities (e.g. BMGF)
Agricultural Investment Planning & Targeting: value-chain prioritization. Help support country-level strategies.
Agricultural Investment Planning & Targeting: value-chain prioritization. Help support country-level strategies.
Questions we are passionate about: categorized into research topics – also directly accessible through Data, Maps and Publications sections (brief overview of the website content organization and search options). Where are the poor and what is their welfare status? On what farming systems do the poor most depend? What are the constraints affecting the productivity and market integration of those farming systems? What present or prospective investments in technologies and practices might best address those constraints? How best to tune targets and technologies to different sub-national conditions?What are the benefits of investments on productivity, farmers income and ultimately, the reduction of poverty and hunger, and income distribution?What is the aggregate landscape of planned national investments across the region?
Data and other resources: categorized into research topics – also directly accessible through Data, Maps and Publications sections. Publishing data through more channels, e.g. FAO, directly into donor information systems, Microsoft research for visualization.
Data and other resources: categorized into research topics – also directly accessible through Data, Maps and Publications sections (brief overview of the website content organization and search options)
Data and other resources: categorized into research topics – also directly accessible through Data, Maps and Publications sections (brief overview of the website content organization and search options)
Data and other resources: categorized into research topics – also directly accessible through Data, Maps and Publications sections (brief overview of the website content organization and search options)
Categorized into research topics – also directly accessible through Data, Maps and Publications sections (brief overview of the website content organization and search options)
Address more complex questions, not enough to provide baseline situation analysis.
Recognize that tech adoption and farm management practices, attitude to risks are largely influenced by household characteristics and institutional environment. Useful to augment existing models (e.g. market access, crop modeling).
Why geography matters: planned investments within their geographic contexts. Different footprints. To be folded into HC framework. Develop methods and workflows and research groups to increase transparency.