{"query_echo":{"q":"","filters":{"analysis_type":["participatory"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'participatory' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":2,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=participatory","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"iisd-000876","url":"https://climateinsightsdirectory.org/document/iisd-000876","title":"Promoting an Integrated Approach to Climate Adaptation: Lessons from the coffee value chain in Uganda","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2014-03-18","source_url":"https://www.iisd.org/publications/report/promoting-integrated-approach-climate-adaptation-lessons-coffee-value-chain","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"A 2013 pilot project in Uganda used 'Climate Dialogue Theatres' to examine how climate hazards affect different actors in the coffee value chain. The study found that farmers and processors are more vulnerable than traders and exporters, and that a lack of trust and communication hinders adaptation. It recommends strengthening actor networks, developing flexible financial products, and investing in climate-resilient infrastructure.","ai_generated":true,"unit":"iisd-000876#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Climate hazards, including floods, droughts, and shifting rainfall patterns, negatively impact every actor in the coffee value chain, though the degree and nature of the impact vary.","ai_generated":true,"unit":"iisd-000876#insight-1","date_modified":"2026-10-23"},{"text":"Coffee processors and farmers experience higher vulnerability to climate hazards compared to exporters, middlemen, and traders. This is attributed to weak organizational capacity, a lack of diversification, and an unfavorable policy environment.","ai_generated":true,"unit":"iisd-000876#insight-2","date_modified":"2026-10-23"},{"text":"Climate adaptation efforts are obstructed by a lack of trust and communication between the various actors within the value chain.","ai_generated":true,"unit":"iisd-000876#insight-3","date_modified":"2026-10-23"},{"text":"The study proposes three primary solutions for the coffee value chain: enhancing partnerships and networking through existing structures and incentives, creating flexible financial products via public-private partnerships, and increasing investment in resilient infrastructure such as telecommunications, storage, irrigation, and roads.","ai_generated":true,"unit":"iisd-000876#insight-4","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","climate risk management","climate finance"],"geography_discussed":["Rakai District","Kampala"],"frame_perspective":[],"analysis_type":["qualitative","participatory"]},{"id":"sei-001860","url":"https://climateinsightsdirectory.org/document/sei-001860","title":"Implementación del modelo WEAP para el estudio de la calidad del agua en la cuenca del río La Vieja","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"fact sheet","language":"es","date_published":"2014","source_url":"https://www.sei.org/mediamanager/documents/Publications/Water-sanitation/SEI-USAID-FS-2014-Modelo-WEAP-calidad-agua-rio-La-Vieja.pdf","generator":"Climate Insights Directory","generated_fields":["summary","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study estimated that the La Vieja river basin receives approximately 15 tons of pollutant load per day, primarily from domestic sources. By integrating WEAP and QUAL2K tools, the project modeled 12 tributary sources and identified six sub-basins responsible for 96% of the pollutant load. The analysis included a participatory XLRM process to identify 14 uncertainties and 10 management strategies, while incorporating 30 climate change scenarios for the 2010-2050 period to support institutional decision-making.","ai_generated":true,"unit":"sei-001860#summary","date_modified":"2026-10-23"},"key_insights":[],"climate_tags":["water quality","climate change","water management","adaptive capacity","wastewater treatment"],"geography_discussed":["Armenia","Pereira","Cartago Municipality"],"frame_perspective":[],"analysis_type":["quantitative","participatory"]}]}