The sub-Saharan Africa challenge programme is designed to address the problems of failures of agricultural markets, inappropriate policies and natural resource degradation, that contribute to the continuing deterioration of livelihoods and food security in the region. It is seeking to do this by redefining the roles of scientists and farmers through collaborative learning processes, addressing questions about the level, timing, type and formof participation, as well as themost effective approaches andmethods to foster them. The research domains of the programme deal with sustainable intensification of smallholder agriculture, the sustainable management of natural resources, the development of efficient markets, and the promotion of enabling policies. One question that was addressed in designing the initiative was deciding where to work so as to maximize the chances of successful testing of this new approach, so that it would lead to significant reductions of rural poverty. A participatory process was put in place to design a framework to accomplish this site selection, and then to apply it in west, east and southern Africa. A mixture of spatial data analysis and expert knowledge on spatial and non-spatial factors was used, and one primary site in each region was identified to form the basis for the next phase of the challenge programme. Several lessons were learnt from the process, including the importance of adapting themethods to actual conditions, the increased utility of targetting when the quantitative and the qualitative are freely combined, and the continued need for baseline spatial and non-spatial data to improve the targeting of research in the future that is designed to alleviate poverty in sub-Saharan Africa.

Philip Thorntonhttps://orcid.org/0000-0002-1854-0182

Natural Resource Management; Markets; Livelihoods; Food Security; Crop Husbandry; Farm Management; Handling, Transport, Storage And Protection Of Agricultural Products; Land Use; Agronomy; Farming Systems

Integrated Natural Resources Management; Spatial Data; Sub-Saharan Africa; Targeting; Markets; Livelihoods; Benchmark Site

Africa; East Africa; West Africa; Southern Africa

Kenya; Uganda; Nigeria; Niger; Zimbabwe; Botswana; Ghana