{"query_echo":{"q":"","filters":{"geography":["Krishna Nagar"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'Krishna Nagar' for facet 'geography' is not in the controlled vocabulary."}]},"total":{"value":4,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=Krishna+Nagar","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":"cdkn-000767","url":"https://climateinsightsdirectory.org/document/cdkn-000767","title":"The consultation process The adaptation and resilience plans","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://cdkn.org/sites/default/files/files/South-Asia-00c-Scenario.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags"],"summary":{"text":"The document uses a fictional scenario in Krishna Nagar, a low-income coastal neighbourhood in India, to demonstrate the process of climate vulnerability assessment and the subsequent creation of resilience plans. It highlights the challenges of community consultation and proposes a multi-sectoral approach to adaptation, including the establishment of disaster risk reduction networks, the use of green infrastructure like mangroves, and the improvement of early warning systems through partnerships with technical universities and mobile operators.","ai_generated":true,"unit":"cdkn-000767#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Krishna Nagar faces multiple climate-driven threats, including sea level rise, frequent high waves, coastal flooding, and river bank bursts caused by heavier rain, which have led to evacuations and increased malaria deaths.","ai_generated":true,"unit":"cdkn-000767#insight-1","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","coastal flood","disaster risk reduction","green infrastructure","sea level rise","early warning system","land-use planning"],"geography_discussed":[],"frame_perspective":[],"analysis_type":[]},{"id":"cdkn-000768","url":"https://climateinsightsdirectory.org/document/cdkn-000768","title":"south-asia-01-aanandi-fa718211a17850e4.pdf","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://cdkn.org/sites/default/files/files/South-Asia-01-Aanandi.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document outlines a simulation where a Disaster Management Officer conducts a climate vulnerability and risk assessment in Krishna Nagar. Through in-character interviews and group discussions, participants explore how individual attributes influence vulnerability to floods and collaboratively develop and refine climate change adaptation plans based on local perspectives.","ai_generated":true,"unit":"cdkn-000768#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The exercise focuses on identifying how a person's climate vulnerability and risk are influenced by their \"social, economic, cultural and physical status and attributes.\"","ai_generated":true,"unit":"cdkn-000768#insight-1","date_modified":"2026-10-23"},{"text":"The simulation emphasizes that factors such as \"social relations, economic status, health, etc\" can increase or decrease an individual's vulnerability to flooding.","ai_generated":true,"unit":"cdkn-000768#insight-2","date_modified":"2026-10-23"}],"climate_tags":["climate change vulnerability","climate change adaptation","emergency management","flood"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["educational simulation"]},{"id":"cdkn-000770","url":"https://climateinsightsdirectory.org/document/cdkn-000770","title":"south-asia-03-ram-kumar-7a1f9e51a10061c4.pdf","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://cdkn.org/sites/default/files/files/South-Asia-03-Ram-Kumar.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags"],"summary":{"text":"The document presents a character profile of a 35-year-old IT-savvy public institution employee living in Krishna Nagar. The persona is used to simulate how specific socio-economic factors—such as long working hours, reliance on digital information, and concerns over job security due to mobility issues—affect an individual's engagement with community flood meetings and their experience of disaster impacts, including rising food and bottled water costs.","ai_generated":true,"unit":"cdkn-000770#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The persona identifies several barriers to attending community flood meetings, specifically long working hours and domestic responsibilities such as teaching children.","ai_generated":true,"unit":"cdkn-000770#insight-1","date_modified":"2026-10-23"}],"climate_tags":["flood","emergency management","urban resilience"],"geography_discussed":[],"frame_perspective":[],"analysis_type":[]},{"id":"cdkn-000773","url":"https://climateinsightsdirectory.org/document/cdkn-000773","title":"south-asia-06-sohail-a8b3142a93ff07c3.pdf","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://cdkn.org/sites/default/files/files/South-Asia-06-Sohail.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document presents a character profile for a simulation exercise involving a resident of Krishna Nagar. The persona describes the personal and community impacts of flooding, including blocked roads, overflowing drains, water contamination, electricity outages, and increased grocery prices. It highlights barriers to community participation for youth, such as parental security concerns and academic priorities, while expressing interest in a volunteer network to support residents during water logging and flood events.","ai_generated":true,"unit":"cdkn-000773#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Flooding in the character's area causes significant infrastructure and health issues, specifically blocking roads, causing drains to overflow into houses, contaminating water, and cutting off electricity for phone charging and news access.","ai_generated":true,"unit":"cdkn-000773#insight-1","date_modified":"2026-10-23"},{"text":"The socio-economic impacts of floods include students falling sick and missing school, as well as rising costs for daily groceries.","ai_generated":true,"unit":"cdkn-000773#insight-2","date_modified":"2026-10-23"},{"text":"Youth participation in community flood meetings is hindered by academic commitments and parental concerns regarding security.","ai_generated":true,"unit":"cdkn-000773#insight-3","date_modified":"2026-10-23"}],"climate_tags":["flood","emergency management","community resilience"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["simulation","role-play"]}]}