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Monitoring and Learning (M&L) systems are increasingly being requested to measure gender indicators in the context of agricultural interventions. This study reflects on the feasibility of using cellphones to collect data for monitoring gender indicators related to the adoption of climate-smart ag...


García, María AlejandraOrentlicher, NatalieTwyman, JenniferEitzinger, AntonBonilla, Osana[Reflection on the use of mobile phones for monitoring gender indicators related to climate-smart agriculture practices]Reflection on the use of mobile phones for monitoring gender indicators related to climate-smart agriculture practices

Climate-smart agricultural (CSA) interventions often require “fine-tuning” i.e. feedback from multiple stakeholders e.g. farmers, extension agents, NGO workers, and policy implementers on their relevance in a given context. Getting essential feedback to ensure projects are on track in a timely w...


Eitzinger, AntonMwongera, CarolineLäderach, PeterAcosta, MariolaAmpaire, Edidah L.Lamanna, ChristineMwungu, Chris MiyinziShikuku, K.M.Twyman, JenniferWinowiecki, Leigh A.[Monitor climate-smart agricultural interventions with a real-time participatory tool]Monitor climate-smart agricultural interventions with a real-time participatory tool

Research suggests that gender equity is a critical factor in the adoption of climate-smart agricultural (CSA) practices. If gender is not explicitly considered in climate-related interventions, the adoption of climate-resilient practices is unlikely to reach scale. Climate-resilient interventio...


Twyman, JenniferMwongera, CarolineLäderach, PeterAcosta, MariolaAmpaire, Edidah L.Eitzinger, AntonLamanna, ChristineMwungu, Chris MiyinziShikuku, K.M.Winowiecki, Leigh A.[Design climate-smart agricultural interventions to be gender inclusive]Design climate-smart agricultural interventions to be gender inclusive

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