Resultados de búsqueda - Transformative learning.

Transformative horizons: reflecting on a decade of scenario-guided policy formulation por Vervoort, Joost M., Pereira, Laura, Veeger, Marieke, Rutting, Lucas, Peou, Rathana, Muzammil, Maliha, Muiderman, Karlijn, Thornton, Philip K., Cramer, Laura K.

“…Participatory foresight has proliferated rapidly in response to unprecedented global uncertainty and the need to transform to more sustainable societies. However, the link from foresight to action is often under-researched; and understanding how foresight can be used for the realization of transformative ambitions has proven particularly difficult. …”
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Equitable ecology: collaborative learning for local benefit in Amazonia por Shanley, P., Rodrigues Gaia, G.

“…Rural communities, however, often have little notion of the market value or economic and ecological consequences of forest transformation. Within such scenarios, the learning process needs to be consciously constructed so as to catalyse new ways of thingking about forest management effectively and quickly. …”
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Summary: creating systems innovation platforms for transformative pathways in circular economy por Sobratee‑Fajurally, Nafiisa, Nhamo, L., Mabhaudhi, Tafadzwanashe

“…Since transformative approaches to CE are complex, tensions due to competing strategies are inevitable. …”
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Research on cow traction in Africa: Some lessons to be learned por Jabbar, M.A.

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AICCRA SPnS report: Evidence and learnings from Ghana por Ofosu-ampong, Kingsley, Seidu, Hisham, Yeboah, Patricia Amankwaa, Obeng, Faustina Adomaa, Maguta, Job Kihara, Abera, Wuletawu

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Institutionalizing Gender and Social Inclusion in Climate Information Services: Lessons from AGRHYMET journey under AICCRA por Kaboré, Assétou, Obossou, Abrewa Remilokoun Esdras, Ali, Abdou, Alhassane, Agali, Segnon, Alcade Christel, Zougmore, Robert Bellarmin

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Gender transformative food and nutrition training workshop report – Makueni County por Lutomia, Cosmas Kweyu, Ouya, Fredrick Ochieng', Muema, Eunice, Njiru, Emerita, Nyamolo, Victor, Waswa, Boaz, Ketema, Dessalegn, Nchanji, Eileen

“…This report covers a gender-transformative nutrition training (GTNT) in Makueni County, convened under CGIAR’s Gender Equality and Social Inclusion Accelerator to support scaling of Gender-Transformative Socio-technical Innovation Bundling (GTSTIBs). …”
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Systems Transformation Science Group: Evaluation Report por Belbase, K., Fabricius, C., Howard, J., Zake, J., Corsetti, L.C., Cekova, D.

“…The evaluation combines summative and formative aspects to support learning and accountability among key users and stakeholders. …”
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CLARISA (CGIAR Level Agricultural Results Interoperable System Architecture): a web based service that helps collect and transform CGIAR research raw data into standardized informa... por CGIAR Research Program on Climate Change, Agriculture and Food Security

“…CLARISA is pivotal in supporting interoperability and knowledge sharing by enabling Management Information Systems (MISes) such as MARLO (Managing Agricultural Research for Learning and Outcomes), MEL (Monitoring, Evaluation and Learning), and Centre specific systems (e.g., CIAT-MARLO) to communicate with each other in language needed for the CGIAR system-level reporting.…”
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Five key institutional change areas for adopting a social learning methodology with CCAFS and the CGIAR system: a synthesis paper por Carlile, Liz

“…The CGIAR Research Programme on Climate Change Agriculture and Food Security (CCAFS) is co-constructing a strategy for Climate Change Communication and Social Learning (CCSL). Not to be confused with the general CCAFS Communication Strategy for disseminating materials and raising profile etc, CCSL is about an attempt to fundamentally change how CGIAR scientists and the communities they work with and for, communicate their shared knowledge and experience and learn together. …”
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Report of CGIAR’s Digital Transformation Accelerator side event–AI-powered innovation: Acceleration research for agri-food system transformation por Ojanji, Wandera, Dhulipala, Ram

“…Innovative uses of large language models (LLMs), Interactive Voice Response (IVR) systems, and WhatsApp-based tools emphasized accessibility for low-literacy and digitally marginalized users. • Earth observation and AI for climate adaptation: The University of Galway introduced tracking adaptation progress in agriculture and food security (TAPAS), a platform leveraging satellite data and machine learning to monitor adaptation outcomes, assess investment impacts, and guide climate resilience strategies. • AI in genebank management: The International Rice Research Institute (IRRI) presented transformative use cases of AI in managing rice genetic resources, from automating seed phenotyping to enhancing genetic diversity analysis through image-based classification models and natural language interfaces. • Artemis: AI-powered phenotyping: The Tanzania-based Artemis project was launched as a scalable, AIenabled platform using smartphone-based digital phenotyping. …”
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Transforming the rural Asian economy: the unfinished revolution por Rosegrant, Mark W., Hazell, Peter B. R.

“…To complete the economic transformation in rural Asia requires further growth, but growth that is more equitable and environmentally sustainable than it has been in the past. …”
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Africa agriculture transformation scorecard: performance and lessons por Matchaya, Greenwell C., Kasoma-Pele, Winnie, Samikwa, D.

“…The Malabo Declaration on accelerated agricultural growth and transformation for shared prosperity and improved livelihoods is a set of goals that were adopted by Heads of State and Government of the African Union in 2014 in Malabo, Equatorial Guinea (AUC 2014). …”
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Changing the decision context to enable social learning for climate adaptation por Colloff, M. J., Gorddard, R., Munera-Roldán, C., Locatelli, B., Lavorel, S., Allain, S., Bruley, E., Butler, J. R. A., Dubo, T., Enokenwa Baa, Ojongetakah, González-García, A., Lécuyer, L., Lo, M., Loos, J., Palomo, I., Topp, E., Vallet, A., Walters, G.

“…Using 16 adaptation initiatives the authors were engaged with, we analysed how and why decision contexts changed to identify ways to improve adaptation as a process of collective deliberation and social learning. 2. We used the scope of the adaptation issue and governance arrangements to classify initiatives into four types and scored changes in the decision context using three frameworks: (1) the values, rules and knowledge (VRK) perspective to identify changes to adaptation decision-making; (2) the five dimensions of futures consciousness to identify the building of adaptation capabilities and (3) the social learning cycle to reveal evidence of reflexive learning. 3. …”
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MusaDeepMosaic: Development of a machine learning genomic mosaic classifier tool. por Vicens, Romain, Cenci, Alberto, Guillaume, Martin, Sardos, Julie, Rouard, Mathieu, Breton, Catherine

“…The methodology is using the machine learning model that combine an image-based visualization module transformation of mosaic plot and a convolutional neural network-based classification module adapted for our case. …”
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Satellite-based Tracking of Agricultural Adaptation Progress in Sub-Saharan Africa por Reymondin, Louis

“…The foundation of the Biomass CAI prediction model is constructed around extensive Convolutional Neural Networks (CNN), which excel in learning intricate and frequently diverse patterns and relationships. …”
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Livestock and the environment: What have we learned in the past decade? por Herrero, Mario, Wirsenius, S., Henderson, Benjamin B., Rigolot, Cyrille, Thornton, Philip K., Havlík, Petr, Boer, Imke J.M. de, Gerber, Pierre J.

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Scaling gender-Transformative innovation bundles for inclusive and resilient food systems in Ethiopia por Ketema, Dessalegn, Lutomia, Cosmas Kweyu, Nchanji, Eileen

“…To deepen and sustain these impacts, the CGIAR Gender Equality Initiative—Harnessing Equality for Resilience in Agrifood Systems (HER+)—partnered with Green Agro Solution PLC, WorldVeg, and SNV to co-design and integrate Gender-Transformative Socio-Technical Innovation Bundles (GTSTIBs) into V4P&P. …”
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Measuring gender transformative change in the context of food security, nutrition and sustainable agriculture por Cole, Steven M., Acosta, Mariola

“…While GTAs have the potential to address structural causes, there is limited guidance on how to measure gender transformative change. This session will present Guidelines for measuring gender transformative change in the context of food security, nutrition and sustainable agriculture—a joint publication from FAO, IFAD, WFP and the CGIAR GENDER Impact Platform—and will provide a hands-on learning experience for participants. …”
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Learning from China? Manufacturing, investment, and technology transfer in Nigeria por Chen, Yunnan, Sun, Irene Yuan, Ukaejiofo, Rex Uzonna, Xiaoyang, Tang, Bräutigam, Deborah

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