- Phase A: Decide on a target region (farming system x country), recognizing donor interests
- Phase B: Identify partners, technologies + enablers within these target regions
- Phase C: Assess ex-ante impact (technology-related, farmer segmentation, enablers)
- Farming systems
- National
- Value chains and markets
- Communities & households
- Innovation entry points
| Input | Details | Source | comment |
|---|---|---|---|
| Total population | Estimates of total number of people per grid square broken down by sex and age groupings (including 0-1 and by 5-year up to 80+) | Worldpop | masked by any boundaries |
| Rural population | Total population masked by urban areas | GHSL | masked by any boundaries |
| Market access | Travel time to cities | Malaria Atlas | additional info in data explorer |
| Resource use efficiency | Nitrogen use efficiency from Zhang et al., (2015) | NUE | Country-level estimate of NUE |
| Global Yield Gap Atlas | Yield gap by country | GYGA | Additional data on climate zonation and technology interpolation [available] |
| Global cropland area and production | Spatial Production Allocation Model | MapSPAM | Raster data for 42 major crops |
| Childhood overweight and wasting | Local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017 | LBD Double Burden of Malnutrition | Poverty indicator |
| Population health | 37 of the 50 health-related SDG indicators over the period 1990–2016 for 188 countries | GBD | Poverty indicator |
| Conflict | The Armed Conflict Location & Event Data | ACLED | Crisis |
- Ani Ghosh (Alliance Bioversity-CIAT)
- Jordan Chamberlin (CIMMYT)
- Bernard Vanlauwe (IITA)