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Mapping Agricultural Investments and Technologies THE LOCATION AND REACH OF CGIAR RESEARCH PROGRAMS FOR IMPROVED PLANNING, TARGETING, AND ACCOUNTABILITY 9 th Meeting of the Independent Science Partnership Council, IFPRI, March 12-14, 2014
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Page 1: Mapping Agricultural Investments and Technologies - Melanie Bacou

Mapping Agricultural Investments and TechnologiesTHE LOCATION AND REACH OF CGIAR RESEARCH PROGRAMS FOR IMPROVED PLANNING, TARGETING, AND ACCOUNTABILITY 9th Meeting of the Independent Science Partnership Council, IFPRI, March 12-14, 2014

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RationaleProvide the CG System and our partners with key investment indicators:• Location of R&D focus

areas, programs and actors

• Count of activities, allocated budget, full-time-equivalent researchers by location, with possible allocation across:

System IDOs, and CRP IDOs Commodity value-chains Technologies

• Support for investment analysis and targeting with partners:

Identify gaps and opportunities to foster partnerships at regional, national, and local scale

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Provide Evidence alongthe R&D Input-Output Continuum…

Output Scalable

technologies,

publications, scientific datasets, training,

etc.ImpactTechnology

uptake, adoption rates, reduced

food crises, improved health and resilience

Investment Activities (technologies, space, time), FTEs

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Background and HistoryInvestment mapping is embedded into a number of CGIAR-led initiatives and multi-partner alliances with opportunities but also potential duplication of efforts.

AATP / New Alliance for FS&N

Countries/G8, other DPs, private sector,

CGIAR, FARA• Technology

assessment and targeting in support of CAADP

• Focus commodities and yield targets

• Mapping of technologies

• Implementation at scale

• ICT/open data

Dublin ProcessAU/FARA, SROs, CGIAR, WB, DPs

• African Science Agenda for Ag.

• Investment mapping and alignment

CGIAR Reform• Revised CRPs• Partnership

commitment• Open-access policy,

OCShttp://ongoing-research.cgiar.org/

SAKSS/ReSAKSSCAADP, NARES, IFPRI• Country and regional

M&E• Country e-Atlases

http://www.aginvestafrica.org/

ASTIIFPRI, NARES, GFAR,

ASARECA• Periodic datasets on

national ag R&D• Analysis of R&D

trends• Enhanced capacity for

data collectionhttp://www.asti.cgiar.org/

IATIMulti-stakeholder aid transparency

standardMonitor aid flows, by source, recipient, sector (over 160 member organizations) http://iatistandard.org/

AgTrialsCCAFS, CIAT, BIOVERSITY

• Technology performance evaluation at trial sites

• Standards for crop phenologyhttp://www.agtrials.org/

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Results and Timeline

May 2014 – Livestock mapping workshop in the Horn of Africa with ILRI and HoA Technical Consortium (under discussion)

Apr 2014 - Release of draft data schema and harmonized codelists

Apr 2014 - Release of web-based “CGIAR Research Portfolio” for visualization and data-entry

Mar-2013 on-going - Renewed engagement with CRP Teams and CO to collect, geocode, and harmonize attributes at the “activity” level:• Aug 2013 – Push new data standards through IATI,

AGROVOC, Gates Foundation, USAID..

• Oct 2013 - Updated CGIAR R&D spatial footprint at country level

• Dec 2013 – Curation of activity-level records for CRP 1.1, 1.2, 2, 4, 5, 7

• Production of a shared IATI-ready data schema for characterizing activities and locations

Mar 2013 - Mapping handed over to Consortium for Spatial Infrastructure and fully backed by PIM (Third Africa Agriculture GIS Week)• Identify key CSI Coordinators and CRP focal points

• Curation and sharing of CRP agricultural domain maps

Early 2013 - Investment mapping “prototype” (collection of activities and domain maps extracted from CRP investment proposals)

Mid-2012

Mid-2014

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IATI-driven R&D Mapping

Multi-stakeholder initiative launched in Ghana, 2008. IATI largely builds on OECD/DAC.

http://iatistandard.org/

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IATI-Ready Data Schema

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Agricultural Investment Mapping, BMGF, Seattle, July 1-2, 2013 8

From spreadsheets to user-centric data collection tools

MS Excel Data Collection Template:

– Excel: familiar , low-tech editing environment

– Simplified administration

– Potentials for scaling into a full-fledge web-based platform, or built into existing reporting systems

– How to train and incentivize?

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Harmonized Vocabularies Strategic themes: CGIAR SLOs, CG and CRP

IDOs Target technologies: draft ontology is at

http://webprotege.stanford.edu/#Edit:projectId=1fea0d22-05f2-4f38-b9a3-656f278dd242 needs review from KM Leaders

Target commodities: currently using FAO/AGROVOC commodity names

Organizations: harmonized organization/partner identifiers with links to IATI Organization codelist

Location reach: using GAUL 2012 adm-2 (district) 1-Action/intervention, 2-Potential beneficiaries, 3-Partner organizations, 4-Experimental farm/nursery (different from IATI).

Location type: an extension to IATI Location Class codelist (incl. river basin, mega-environment, drylands STRs, etc.)

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Agricultural Investment Mapping, BMGF, Seattle, July 1-2, 2013 10

Developing and Promoting Shared OntologiesWebProtégé : flexible, distributed, multilingual ontology editor

Collaborative editing using local/field expert knowledge

Build validation mechanisms (?)

Require acquiring external skills (e.g. IFPRI hiring an Ontology Specialist for semantic modeling)

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Towards CGIAR Research Portfolio: interactive visualization and simplified data capture

More robust data management and mapping features compared to MSExcel xsheet.

Emphasis on building harmonized, accessible database (and not on platform).

http://crps.harvestchoice.org/dev/