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Supply and demand: improving the open ag funding data landscape

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Presentation on theme: "Supply and demand: improving the open ag funding data landscape"— Presentation transcript:

1 Supply and demand: improving the open ag funding data landscape
May 24, 2016

2 Agenda PART ONE (11:00 am – 12:00 pm) 11:00-11:10 am Project overview
Participant introductions 11:15-11:40 am Supply: Presentation of landscape analysis 11:40 – 12:00 pm Demand: Findings on data needs BREAK PART TWO (12:03 – 12:45 pm) 12:03 – 12:45 pm Looking ahead: roadmap for standards, tools and support

3 Project Partners

4 What are we trying to accomplish?
Investment data that meets the needs of agriculture and food security practitioners More effective investments in agriculture and food security End hunger and reduce food insecurity

5 What kind of data? International Assistance
Bilateral & multilateral donors Foundations NGOs Research institutes

6 Two ways to participate
Community of Practice IATI Ag Working Group Purpose To promote improvements in the availability, quality, and use of ag investment data Increase awareness of demand for data Inform development of standards/tools from a user perspective Advocate for publication of (better) data Promoting use of data in decision-making Membership Open to individuals or organizations Agriculture and food security practitioners Purpose To ensure IATI data meets the needs of agricultural development and food security practitioners Develop technical proposals for modifications or extensions to the IATI standard Contribute to the development of tools to improve the quality or use of IATI data Membership Open to individuals or organizations IATI contacts at organizations Sector data specialists

7 PARTICIPANT INTRODUCTIONS

8 What investment data is currently available?
THE SUPPLY What investment data is currently available?

9 What investment data do organizations need?
THE DEMAND What investment data do organizations need?

10 Donor Data Needs 17 interviewees from: USAID, MCC, WB, AfDB, WFP
Most often voiced needs Value chains Locations: At least down to the Admin 2 level Budget and expenditure data Project dates: Start & end date Results: outputs, outcomes, impact Beneficiaries Local implementers Demographic, socioeconomic and baseline data “If everyone else is working in Maize, we’ll focus on another crop to balance nutrition.” –USAID “Knowing who local implementers are helps us identify who we should talk to in country during consultations. They have a better picture of what’s going on in country and who we might partner with.” –MCC

11 Foundation Data Needs What do donors need to know in order to make investment decisions? What are others doing and funding? What are the gaps in current funding? Where could we make the greatest difference? When are they using it? Data at the strategy setting moment vs. data for monitoring and impact measurement How do they get the answers they need? Relationships with other funders and affinity groups In-country partners and staff Commissioning research (landscape, market, and demographic analyses) What are some of the current challenges? Differing definitions of “ag” Working at the intersections of issues/fields Data needs associated with partnership and movement-building initiatives

12 NGO Data Needs What? Why? To avoid duplication or identify gaps
To leverage efforts or expertise of others To identify partners To determine does and doesn’t work (and why) to improve project design To assess the performance of agriculture and food security programs

13 CGIAR Data Needs Provide CG system and our partners with simple investment indicators: Locations of R&D focus areas, programs, and actors Count of activities, allocated budget by activity, with additional allocation across IDOs (CGIAR System Objectives), commodity value-chains, and technologies Support for investment analysis and targeting with partners (identify gaps and opportunities to foster partnerships at regional, national, and local scale) Measure of reach: numbers of partner institutions reached, number of farmers trained, socio-economic characteristics of beneficiaries, across key geographic domains (AEZs, wheat/maize mega-environments, drylands, across CRP focus areas, countries, etc.) Measure of impact: spatial coverage of technology diffusion and adoption (number of technologies available, and/or adopted by farmers, number of farm households with access to and using improved technologies)

14 Facilitated discussion to start in 2 minutes
Break! Facilitated discussion to start in 2 minutes

15 Roadmap for standards, tools and support
DISCUSSION Roadmap for standards, tools and support

16 Next Steps Brown bag lunch on June 9th
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