O1 group work report Tahirou, Sibiry, Gatien, Joseph, Naomie, Jerome, Annie

1.1 Construction of development domains within and across the project mega-sites  The development domains developed so far by IFPRI require more granular data to become relevant within the GS megasite, including: ethnic/linguistic layers, livestock density, LGP, landscape physiography / elevation  Procedure already applied for Ghana can be replicated in Mali and improved with feedback to Ghana  IFPRI (Chris) will continue to lead that activity until complete, including field visits to be organized in conjunction with activity 1.2  ICRISAT (Sibiry) will provide supplementary granular data to IFPRI (Chris) for stratification and domain delineation within the GS megasite  ICRISAT (Eva) will help organize Mali field visits by IFPRI (Chris) before end of December

1.2 Identification of action research sites within the development domains of each mega-site  Add statement in project document on consultation with local partners  Need to identify Mali units of analysis similar to Ghana districts (cercle vs. arrondissement vs. secteur vs. commune)  Activity can be executed concurrently with 1.1 (development domains)  Key participants should include: Carlo, Chris, Sibiry, Larbi, Tahirou  Bridging the scale gap in site selection should not only be through partners / expert opinion but also informed by more granular GIS data (cf. 1.1 above)  Group felt that there is flexibility still possible in action and/or control sites finalization in UER and NR

1.3 Establishment of R4D platforms  Similar to Tanzania, Malawi and Ghana, need to review and inventory current FtF investments in Mali – where are they made, who was contracted for platform establishment etc.  Opportunity to expand existing innovations platforms into R4D platforms (more dynamic, proactive)  No treatment site where there is no R4D platform (control sites will be selected outside the intervention domain of R4D platforms)  In Mali, potential scale mismatch between administrative divisions and critical mass of villages for R4D platforms

1.4 Collect baseline information  What HH survey instrument for the BL? What level of customization for AR objectives / approaches?  Issue of subcontracting for BL survey administration: IPA or likes? Level of subcontracting? Training only?  BL data will not be used to revise action / control site selection  BL data may be used to guide deployment of technology-based interventions (agronomy/farm-level) but likely not process-based interventions (community/landscape-level)

1.5 Construction of farm household typologies  IFPRI (Naomie) will lead with IITA (Bernard) inputs for CRP1.2 areas and ICRISAT (Gatien) inputs for CRP1.1 areas

1.6 Inventorize innovations

1.7 Identification and prioritization of innovations addressing major constraints  Participatory modeling?? -> participatory scenario analysis (to avoid over-commitment)

Sequencing, responsibility, funding of O1 activities NOVDECJANFEBMARAPR$ 1.1 Domains: IFPRI-Chris (L), ICRISAT- Sibiry xIFPRI 100% 1.2 Sites: IFPRI-Carlo (L), IFPRI-Chris, IITA-Larbi, ICRISAT-Sibiry xIFPRI 50%, IITA/ICRISA T 50% 1.3 Platforms: IITA-Larbi (L), ICRISAT- Eva (co-L), ICRAF-Joachim xIITA/ICRISA T 100% 1.4 Baselines: IFPRI-Carlo (L), IFPRI- M&E officer, IITA-Tahirou, ICRAF- Joachim, ICRISAT-Manda xxIFPRI 100% 1.5 Typologies: IFPRI-Naomie (L), IITA- Bernard, ICRISAT-Gatien xxIFPRI 50%, CRP1.1/1.2 50% 1.6 Innovations: IITA-Larbi (L), ICRISAT-Eva (co-L), M&E officer xxxIFPRI 50%, IITA/ICRISA T 50% 1.7 Prioritizations: IITA-Larbi (L), ICRISAT-Eva (co-L) xxxIITA/ICRISA T 100% 1.8 Synthesis…IFPRI 100%

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