Resultados de búsqueda - "CGIAR"

  1. Participatory Evaluation of Climate-Smart Risk Maps and Adaptation Plans (CS-MAP) at Community Level for the Coastal Agriculture of Bangladesh por Ali, A M M Mostafa, Rahman, Md. Mostafizur, Saha, Champa Rani, Rahman, Syed Arman Akib, Haque, Md. Ehsanul, Ryhan, Md Abu, Yen, Bui Tan, Nelson, Katherine, Vu, Trang, Vu, Quyet, Tran, Nguyen Bao, Salahuddin, Ahmad

    Publicado 2024
    “…To deal with the condition, the Asian Mega-Deltas for Climate and Livelihood Resilience (AMD) initiated by CGIAR aim to create resilient, inclusive, and productive deltas that maintain socio-ecological integrity, adapt to climatic and other stressors, and support human prosperity and well-being. …”
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  2. Storytelling about gender-responsive agricultural solutions: Training Guide por Metcalfe, J., Gascoigne, T., Cole, S., Stirrat, M., Gadeberg, Marianne

    Publicado 2025
    “…Accordingly, in 2023 and through to 2025, the CGIAR GENDER Impact Platform organized three training programs, comprised of eight 2-hour modules, conducted partly virtually and (for the second training group) partly in person for a total of 45 science communicators from CGIAR and partners (as well as journalists) from around the world on how to prepare and publish stories on agricultural technologies that work for rural women. …”
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    Training Material
  3. Impact assessment report at the meso-level: Experiences from Ghana por Manoti, Dismas, Kikulwe, Enoch, Carbonell Barlis, Angelica, Dalaa, Mustapha Alasan, Obeng, Faustina, Mahama, Obed Kwaku

    Publicado 2025
    “…This report presents a qualitative impact assessment of the Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA) project in Ghana, focusing on how the program strengthened meso-level institutions (“next users”) and expanded the delivery and uptake of Climate Information Services (CIS) and Climate-Smart Agriculture (CSA) innovations. …”
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  4. Integrating climate intelligence into digital agroadvisory systems: A scalable multi model framework for AgWise Engine por Tibebe, Degefie, Seid, Jemal, Abera, Wuletawu, Saito, Kazuki, Mkuhlani, Siyabusa, Leroux, Louise, Mabilangan, Abigail, Ghosh, Aniruddha, Kihara, Job

    Publicado 2025
    “…This strategy requires integrating climate information across two distinct temporal scales: (i) Strategic Planning (3-6 Months): Utilizing seasonal forecasts to guide critical long-term decisions, including optimal variety selection, defining the best sowing or planting windows, and facilitating access to bundled financial services (AFR-2419, 2024) (ii) Tactical Execution (10-Day): Employing dynamic, high-frequency sub-seasonal forecasts to provide precise, in-season adjustments necessary for critical management actions, such as fine-tuning fertilizer application schedules, managing supplementary irrigation, and determining optimal harvest timing(CGIAR, 2024). The proposed framework for AgWise CI is structurally designed to overcome two specific technical challenges identified across foundational projects: (1) the translation problem converting complex, probabilistic climate outputs into agronomically meaningful parameters; (2) the integration problem embedding these climate-conditioned algorithms seamlessly within existing digital advisory architectures.…”
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