{"query_echo":{"q":"","filters":{"geography":["Kwale County"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'Kwale County' for facet 'geography' is not in the controlled vocabulary."}]},"total":{"value":11,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=Kwale+County","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":"natjust-000150","url":"https://climateinsightsdirectory.org/document/natjust-000150","title":"COMMENTS ON THE DRAFT NATIONAL ENERGY POLICY 2025","publisher":{"name":"Natural Justice","organization":"natural-justice"},"document_type":"statement","language":"en","date_published":"2026-06-25","source_url":"https://naturaljustice.org/wp-content/uploads/2026/07/Comment-on-the-National-Energy-Policy-2026-1_Kenya.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Natural Justice critiques the draft National Energy Policy (NEP) 2025 for Kenya, highlighting a contradiction between its clean energy goals and its proposal to continue oil, coal, and nuclear development. The organization argues that these fossil-fuel and nuclear pathways risk creating stranded assets and undermine climate commitments. Key recommendations include the adoption of a dedicated Just Energy Transition chapter, the mandatory use of Community Development Agreements (CDAs), and the alignment of land acquisition practices with World Bank standards. Natural Justice specifically urges the removal of nuclear energy and liquefied natural gas (LNG) from the policy in favor of geothermal, solar, and wind alternatives.","ai_generated":true,"unit":"natjust-000150#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The draft National Energy Policy (NEP) contains internal contradictions by claiming to promote clean energy solutions while simultaneously setting a goal to \"continue with oil and coal development activities\" to enhance national energy security.","ai_generated":true,"unit":"natjust-000150#insight-1","date_modified":"2026-10-23"},{"text":"Natural Justice argues that pursuing coal development would undermine Kenya's climate commitments and risk \"stranded assets\" because renewable power generation, specifically solar PV, is increasingly cheaper than fossil fuel alternatives.","ai_generated":true,"unit":"natjust-000150#insight-2","date_modified":"2026-10-23"},{"text":"The document recommends the total exclusion of nuclear energy from the NEP, citing high capital costs, dependence on imported uranium, and potential environmental risks to coral reefs and aquatic life in Kwale and Kilifi.","ai_generated":true,"unit":"natjust-000150#insight-3","date_modified":"2026-10-23"},{"text":"The NEP is criticized for lacking a clear framework for a 'just and equitable energy transition,' with Natural Justice proposing a dedicated chapter, an oversight body, and the adoption of principles from the Alliance for Just Energy Transformation (AJET).","ai_generated":true,"unit":"natjust-000150#insight-4","date_modified":"2026-10-23"},{"text":"There is a noted absence of Community Development Agreements (CDAs) in the NEP, despite such agreements being required under the Mining Act and the Climate Change Act for other resource projects.","ai_generated":true,"unit":"natjust-000150#insight-5","date_modified":"2026-10-23"},{"text":"Natural Justice recommends that land acquisition for energy projects align with the September 2024 Resettlement Policy Framework (RPF) used for the Kenya Off-Grid Solar Access Project (KOSAP) and the principles of Free, Prior, and Informed Consent (FPIC).","ai_generated":true,"unit":"natjust-000150#insight-6","date_modified":"2026-10-23"},{"text":"The document highlights that the NEP fails to mention Kenya's Nationally Determined Contributions (NDCs) under the Paris Agreement or provide strategies for reducing greenhouse gas emissions from the energy sector.","ai_generated":true,"unit":"natjust-000150#insight-7","date_modified":"2026-10-23"}],"climate_tags":["renewable energy","energy transition","coal","nuclear power","natural gas","liquefied natural gas","geothermal energy","solar energy","wind power","green hydrogen","climate finance","just transition","climate justice","Nationally Determined Contributions","greenhouse gas emissions"],"geography_discussed":["Kwale County","Kilifi County"],"frame_perspective":[],"analysis_type":["policy review","stakeholder submission"]},{"id":"isdglo-000115","url":"https://climateinsightsdirectory.org/document/isdglo-000115","title":"Midline Assessment Report for PROACT: Community-Based Interventions Program in Kenya","publisher":{"name":"Institute for Strategic Dialogue","organization":"institute-for-strategic-dialogue"},"document_type":"report","language":"en","date_published":"2022","source_url":"https://www.isdglobal.org/wp-content/uploads/2022/10/Midline-Assessment-Report-for-PROACT_Community-Based-Interventions-Program-in-Kenya.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The PROACT program has significantly increased the knowledge, confidence, and attitudes of community team members regarding P/CVE, with knowledge levels rising from 18.4% to 90.7% post-training. The program has strengthened County Engagement Forums (CEFs) and implemented County Action Plans (CAPs), though sustainability is challenged by a reliance on external donor funding and inconsistent CEF membership. Key findings highlight a shift in terrorist recruitment from face-to-face to online methods and a need for greater security actor trust in community-led processes. Recommendations include embedding P/CVE funding into county legislation, extending the program duration for sustainable transformation, and developing P/CVE curricula for educational institutions.","ai_generated":true,"unit":"isdglo-000115#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The PROACT program significantly improved the knowledge and skills of community team members regarding P/CVE, psychosocial issues, and facilitation methods, increasing from a baseline of 18.4% to 90.7% after training.","ai_generated":true,"unit":"isdglo-000115#insight-1","date_modified":"2026-10-23"},{"text":"Training led to a substantial increase in the confidence and positive attitudes of community team members toward handling P/CVE content; confidence rose from 18.6% to 88.6%, and positive attitudes increased from 20.8% to 95.6%.","ai_generated":true,"unit":"isdglo-000115#insight-2","date_modified":"2026-10-23"},{"text":"There is a noted shift in recruitment strategies by terrorist networks, with a decrease in face-to-face recruitment due to security surveillance and an increase in online recruitment via Android phones among youth.","ai_generated":true,"unit":"isdglo-000115#insight-3","date_modified":"2026-10-23"},{"text":"While national and county governments contribute indirectly to P/CVE through investments in TVET, agriculture, and affirmative funds, these resources are not specifically tailored to youth most at risk of recruitment.","ai_generated":true,"unit":"isdglo-000115#insight-4","date_modified":"2026-10-23"},{"text":"The program established P/CVE governance structures through County Action Plans (CAPs) and County Engagement Forums (CEFs), but inconsistent membership in CEFs has negatively impacted institutional memory and continuity.","ai_generated":true,"unit":"isdglo-000115#insight-5","date_modified":"2026-10-23"},{"text":"Community awareness of the role of communities in P/CVE remains low, and there is a critical need to build trust between security actors and community-led processes to reduce risks to beneficiaries.","ai_generated":true,"unit":"isdglo-000115#insight-6","date_modified":"2026-10-23"},{"text":"In Isiolo County, the program remodeled the CAP to prioritize pillars such as psychosocial support and economics, and successfully engaged the private sector, with road contractors promising social support of approximately US $10 million.","ai_generated":true,"unit":"isdglo-000115#insight-7","date_modified":"2026-10-23"},{"text":"In Kwale County, the program anchored its work within the Ministry of Interior and engaged private sector players like Base Titanium to provide scholarships, jobs, and school construction as part of radicalization prevention.","ai_generated":true,"unit":"isdglo-000115#insight-8","date_modified":"2026-10-23"},{"text":"In Nakuru County, the program successfully engaged the private sector (e.g., Absa Bank) and the medical community, with psychiatrists from Rift Valley General Hospital offering mental health support for referred cases at a reduced cost of Kes 100.","ai_generated":true,"unit":"isdglo-000115#insight-9","date_modified":"2026-10-23"}],"climate_tags":["Private sector engagement"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["midline assessment","program evaluation"]},{"id":"issafri-002233","url":"https://climateinsightsdirectory.org/document/issafri-002233","title":"Resilience and dialogue: Preventing violent extremism in Nairobi, Wajir and Kwale Counties in Kenya","publisher":{"name":"Institute for Security Studies","organization":"institute-for-security-studies"},"document_type":"report","language":"en","date_published":"2020-11","source_url":"https://issafrica.s3.amazonaws.com/site/uploads/ear-33.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines community resilience and dialogue as tools to prevent violent extremism in three Kenyan counties. It identifies key risk factors, such as police brutality and socio-economic marginalisation, while highlighting existing strengths like inter-group collaboration. The authors argue for a shift from specific P/CVE interventions to broader, P/CVE-relevant development goals to reduce vulnerability.","ai_generated":true,"unit":"issafri-002233#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Several systemic risk factors increase vulnerability to violent extremism, including socio-economic deprivation, marginalisation, and deep-seated distrust of security agencies caused by human rights violations.","ai_generated":true,"unit":"issafri-002233#insight-1","date_modified":"2026-10-23"},{"text":"Police misconduct, including profiling, harassment, and extrajudicial killings, acts as a primary driver for radicalisation, as victims and their families may join extremist groups to seek protection or revenge.","ai_generated":true,"unit":"issafri-002233#insight-2","date_modified":"2026-10-23"},{"text":"Economic hardship, unemployment, and a lack of opportunity make individuals susceptible to recruitment, with some families in Nairobi and Wajir reportedly encouraging youth to join al-Shabaab for financial gain.","ai_generated":true,"unit":"issafri-002233#insight-3","date_modified":"2026-10-23"},{"text":"Existing community resilience is evident through inter-group socialisation in cosmopolitan Nairobi, the use of counter-narratives via social media in Kwale, and established civic engagement networks in Wajir.","ai_generated":true,"unit":"issafri-002233#insight-4","date_modified":"2026-10-23"},{"text":"Dialogue within communities is obstructed by ethno-religious tensions, a lack of trust in elders, and the systemic exclusion of women from decision-making processes.","ai_generated":true,"unit":"issafri-002233#insight-5","date_modified":"2026-10-23"},{"text":"Dialogue between communities and the justice sector is hindered by the high cost of legal representation, delayed court proceedings, and a lack of accountability for historical injustices and land grabbing.","ai_generated":true,"unit":"issafri-002233#insight-6","date_modified":"2026-10-23"},{"text":"The report recommends a policy shift from P/CVE-specific interventions to 'P/CVE-relevant' interventions that focus on reducing general vulnerability through socio-economic and governance development.","ai_generated":true,"unit":"issafri-002233#insight-7","date_modified":"2026-10-23"}],"climate_tags":["community resilience","human rights","economic development"],"geography_discussed":["Somalia","Nigeria"],"frame_perspective":[],"analysis_type":["qualitative research","policy analysis"]},{"id":"clipolin-001270","url":"https://climateinsightsdirectory.org/document/clipolin-001270","title":"SMALLHOLDER FORESTRY VEHICLE INSTRUMENT ANALYSIS","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2018-09","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2020/08/Smallholder-Foresty-Vehicle_Instrument-Analysis.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Smallholder Forestry Vehicle is a proposed financial instrument designed to enable forestry companies in Africa to access long-term, low-cost finance by aggregating smallholder tree production contracts into a Special Purpose Vehicle (SPV). By separating the high-risk establishment and harvest phases from the lower-risk growth phase, the vehicle aims to attract institutional investors, including pension funds and impact investors. A proof-of-concept facility targeting US$ 35 million in coastal Kenya is proposed to demonstrate risk-adjusted returns and climate resilience benefits, such as land restoration and diversified income for farmers. The analysis suggests that the instrument can leverage significant private capital and be replicated across other East African nations to meet land restoration targets.","ai_generated":true,"unit":"clipolin-001270#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Smallholder Forestry Vehicle creates a new asset class by aggregating thousands of small-scale forestry projects into a Special Purpose Vehicle (SPV), allowing forestry companies to access long-term finance and scale operations.","ai_generated":true,"unit":"clipolin-001270#insight-1","date_modified":"2026-10-23"},{"text":"A US$ 35 million proof-of-concept facility is proposed for coastal Kenya (Kilifi and Kwale counties), aiming to restore 5,000 hectares of degraded farmland and provide over 16,000 households with more than US$ 1,200 in climate-resilient savings.","ai_generated":true,"unit":"clipolin-001270#insight-2","date_modified":"2026-10-23"},{"text":"The proof-of-concept facility is modeled to achieve a gross internal rate of return (IRR) of 11.1% and an equity IRR of 11.4%, assuming a 6% average interest rate for debt.","ai_generated":true,"unit":"clipolin-001270#insight-3","date_modified":"2026-10-23"},{"text":"Public finance, specifically concessional debt and principal guarantees, is critical for the proof-of-concept to achieve a 6% cost of debt, as commercial debt from Kenyan banks averages 16%.","ai_generated":true,"unit":"clipolin-001270#insight-4","date_modified":"2026-10-23"},{"text":"The instrument is designed to be catalytic, with the proof-of-concept expected to leverage one dollar of private finance for every dollar of public finance, and six times that amount across the full tree lifecycle.","ai_generated":true,"unit":"clipolin-001270#insight-5","date_modified":"2026-10-23"},{"text":"The vehicle addresses climate vulnerability in Eastern Kenya by preventing soil degradation and providing farmers with non-climate dependent income to absorb shocks from droughts and floods.","ai_generated":true,"unit":"clipolin-001270#insight-6","date_modified":"2026-10-23"},{"text":"The Lab estimates a total market potential for timber-based farm forestry on degraded land across African countries with AFR100 targets at approximately US$ 20.6 billion annually by 2030, requiring US$ 8.4 billion in upfront investment.","ai_generated":true,"unit":"clipolin-001270#insight-7","date_modified":"2026-10-23"},{"text":"The instrument's success depends on mitigating tree growth risks (fire, disease, side-selling) and operating company risks (the ability to buy back trees at a fair price).","ai_generated":true,"unit":"clipolin-001270#insight-8","date_modified":"2026-10-23"}],"climate_tags":["climate finance","nature restoration","climate resilience","agroforestry","Blended Finance","carbon sequestration"],"geography_discussed":["East Africa","Ethiopia","Mozambique","Rwanda","Tanzania","Uganda","Kilifi County","Kwale County"],"frame_perspective":[],"analysis_type":["instrument analysis","financial modeling","impact assessment"]},{"id":"issafri-002378","url":"https://climateinsightsdirectory.org/document/issafri-002378","title":"Violent extremism in Kenya","publisher":{"name":"Institute for Security Studies","organization":"institute-for-security-studies"},"document_type":"report","language":"en","date_published":"2017-11","source_url":"https://issafrica.s3.amazonaws.com/site/uploads/mono197.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The report finds that while Kenyan women are rarely direct perpetrators of violent acts, they provide critical 'invisible infrastructure' for al-Shabaab through recruiting, intelligence gathering, and logistics. Involvement is driven by a complex interplay of poverty, socio-political marginalisation, and personal relationships. The study highlights severe impacts on women, including sexual violence in camps and psychological trauma from terror attacks and heavy-handed counter-terrorism (CT) operations. Current P/CVE responses are criticised for being gender-neutral and overly securitised, leading to mistrust between the state and affected communities.","ai_generated":true,"unit":"issafri-002378#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Women in Kenya primarily occupy non-combative, supportive roles for violent extremist organisations, acting as an 'invisible infrastructure' by recruiting, gathering intelligence, facilitating funding, and providing food, shelter, and medical care.","ai_generated":true,"unit":"issafri-002378#insight-1","date_modified":"2026-10-23"},{"text":"There is limited evidence of women acting as direct perpetrators of violent extremism in Kenya, with many respondents viewing such acts as 'mambo ya vijana' (issues of male youth).","ai_generated":true,"unit":"issafri-002378#insight-2","date_modified":"2026-10-23"},{"text":"Economic hardship is a primary driver of women's involvement, with al-Shabaab exploiting poverty and unemployment by promising jobs and money to vulnerable individuals.","ai_generated":true,"unit":"issafri-002378#insight-3","date_modified":"2026-10-23"},{"text":"Personal relationships, including kinship and romantic ties, are significant predictors of involvement; women often join extremist groups to follow husbands or partners to Somalia.","ai_generated":true,"unit":"issafri-002378#insight-4","date_modified":"2026-10-23"},{"text":"Women and girls in al-Shabaab camps face severe human rights violations, including forced marriage, physical abuse, and systemic sexual violence, with some returnees reporting contracting HIV.","ai_generated":true,"unit":"issafri-002378#insight-5","date_modified":"2026-10-23"},{"text":"The Kenyan government's 'hard security' approach to counter-terrorism has fostered deep mistrust and resentment in affected communities, which may inadvertently increase radicalisation.","ai_generated":true,"unit":"issafri-002378#insight-6","date_modified":"2026-10-23"},{"text":"Women in affected communities report being profiled, harassed, and subjected to invasive searches by security forces, particularly those wearing the buibui.","ai_generated":true,"unit":"issafri-002378#insight-7","date_modified":"2026-10-23"},{"text":"Violent extremism causes severe psychological trauma and social fragmentation, leading to the breakdown of family units and increased tension between Muslim and non-Muslim community members.","ai_generated":true,"unit":"issafri-002378#insight-8","date_modified":"2026-10-23"},{"text":"Current P/CVE policies and the National Strategy to Counter Violent Extremism are largely gender-neutral and fail to address the specific needs, roles, and vulnerabilities of women.","ai_generated":true,"unit":"issafri-002378#insight-9","date_modified":"2026-10-23"},{"text":"There is a significant disconnect and lack of coordination between government agencies, international donors, and civil society organisations in implementing P/CVE efforts, leading to the duplication of work and 'research fatigue' among women.","ai_generated":true,"unit":"issafri-002378#insight-10","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Somalia","Mombasa","Garissa","Lamu County","Nairobi","Eastleigh","Majengo","Busia County","Kwale County"],"frame_perspective":[],"analysis_type":["empirical study","qualitative research","policy analysis"]},{"id":"cdkn-000537","url":"https://climateinsightsdirectory.org/document/cdkn-000537","title":"Research from India and Kenya - FULL REPORT 1","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"report","language":"en","date_published":"2017-03","source_url":"https://cdkn.org/sites/default/files/files/Communicating-extreme-weather-event-attribution-FULL-REPORT.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report evaluates how to communicate the link between anthropogenic climate change and extreme weather events, testing various phrasings for probability, frequency, intensity, and uncertainty. Findings indicate that while high-level decision makers often prefer technical percentages and 'probability' terms, the general public finds these confusing, preferring simpler terms like 'worse' or 'more often'. The study highlights significant translation challenges in Swahili and Hindi and recommends that attribution information be downscaled to high spatial resolutions and co-developed with local communication experts and trusted sources, such as national meteorological agencies.","ai_generated":true,"unit":"cdkn-000537#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"High-level decision makers and media in Kenya generally prefer percentage-based information and the term 'chance' to communicate probability, while the general public in Kenya finds probability concepts very difficult to understand.","ai_generated":true,"unit":"cdkn-000537#insight-1","date_modified":"2026-10-23"},{"text":"In India, high-level decision makers prefer the term 'probability' and the use of percentages, whereas the general public showed a preference for the term 'chance'.","ai_generated":true,"unit":"cdkn-000537#insight-2","date_modified":"2026-10-23"},{"text":"Regarding frequency, Kenyan high-level decision makers and media prefer the phrase 'twice as often', while the Indian public found statements using 'lifetime' measurements (e.g., twice in a lifetime now occur 4 times) easiest to understand.","ai_generated":true,"unit":"cdkn-000537#insight-3","date_modified":"2026-10-23"},{"text":"For intensity, 'severity' is the preferred term for high-level decision makers and media in both Kenya and India, but the Kenyan public prefers the simpler term 'worse'.","ai_generated":true,"unit":"cdkn-000537#insight-4","date_modified":"2026-10-23"},{"text":"Uncertainty information is generally viewed as confusing and unnecessary by the majority of stakeholders, particularly the public in Kenya, who may interpret statistical ranges as a lack of evidence or 'guesswork'.","ai_generated":true,"unit":"cdkn-000537#insight-5","date_modified":"2026-10-23"},{"text":"Simplified statements are consistently preferred over technical ones across all stakeholder groups in both countries, particularly for inconclusive results or events that were less severe than predicted.","ai_generated":true,"unit":"cdkn-000537#insight-6","date_modified":"2026-10-23"},{"text":"Visual communication is most effective when using location-specific photographs and 'before and after' comparisons; however, technical elements like confidence indicators and generic climate change icons are frequently found confusing or irrelevant.","ai_generated":true,"unit":"cdkn-000537#insight-7","date_modified":"2026-10-23"},{"text":"National meteorological agencies are the most trusted sources of climate information for high-level decision makers and media in both India and Kenya.","ai_generated":true,"unit":"cdkn-000537#insight-8","date_modified":"2026-10-23"},{"text":"Translation into local languages presents significant hurdles, as terms like 'probability', 'likelihood', and 'chance' often translate to the same word in Swahili, and 'frequency' is difficult to translate into Hindi.","ai_generated":true,"unit":"cdkn-000537#insight-9","date_modified":"2026-10-23"}],"climate_tags":["extreme event attribution","climate change communication","climate variability","climate change adaptation","disaster risk reduction","climate finance"],"geography_discussed":["Bihar","Uttar Pradesh","Kwale County","Turkana County"],"frame_perspective":[],"analysis_type":["comparative study","stakeholder analysis","qualitative research","quantitative research"]},{"id":"cdkn-000557","url":"https://climateinsightsdirectory.org/document/cdkn-000557","title":"Research from India and Kenya - EXECUTIVE SUMMARY","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"executive summary","language":"en","date_published":"2017-03","source_url":"https://cdkn.org/sites/default/files/files/EXECUTIVE-SUMMARY-final.compressed.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document provides guidance on communicating extreme weather event attribution to different stakeholder groups in Kenya and India, focusing on phrasing for probability, frequency, intensity, and uncertainty, as well as the use of visual aids.","ai_generated":true,"unit":"cdkn-000557#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Preferences for communicating probability vary by stakeholder and country: in Kenya, high-level decision makers and media prefer percentages and the term 'chance', while the public finds probability difficult to understand and prefers frequency information. In India, high-level decision makers prefer 'probability' and percentages, media prefer 'chance' and percentages, and the public generally prefers 'chance'.","ai_generated":true,"unit":"cdkn-000557#insight-1","date_modified":"2026-10-23"},{"text":"Regarding frequency, Kenyan high-level decision makers and media prefer the phrase 'twice as often', while the Kenyan public is best reached with simplified statements like 'drought occurs more often because of climate change'. In India, the public found 'frequency… twice in a lifetime' easiest to understand, whereas high-level decision makers had mixed responses, with some preferring 'return time'.","ai_generated":true,"unit":"cdkn-000557#insight-2","date_modified":"2026-10-23"},{"text":"For describing intensity, 'severity' is the preferred term for high-level decision makers and media in both Kenya and India. The Kenyan public prefers the term 'worse', and the Indian public marginally prefers 'strength' and 'worse'.","ai_generated":true,"unit":"cdkn-000557#insight-3","date_modified":"2026-10-23"},{"text":"Uncertainty information is generally found to be confusing and unnecessary for the media and public in both countries and should be excluded for these groups. However, high-level decision makers with statistical or scientific backgrounds prefer precise numerical uncertainty (e.g., '+/- 10%').","ai_generated":true,"unit":"cdkn-000557#insight-4","date_modified":"2026-10-23"},{"text":"Visual communication preferences differ by group: the public prefers photographs and 'before' and 'after' comparisons, while high-level decision makers prefer graphs showing increases in frequency. Complex infographics representing probability or intensity were found to be overwhelming and poorly understood.","ai_generated":true,"unit":"cdkn-000557#insight-5","date_modified":"2026-10-23"},{"text":"There is a high level of interest in extreme event attribution across all stakeholders in both countries, with 41% of all participants responding 'definitely yes' when asked if they wanted to know more.","ai_generated":true,"unit":"cdkn-000557#insight-6","date_modified":"2026-10-23"}],"climate_tags":["extreme event attribution","climate change communication","climate change adaptation"],"geography_discussed":["Bihar","Uttar Pradesh","Kwale County","Turkana County","Rajasthan"],"frame_perspective":[],"analysis_type":["qualitative","quantitative"]},{"id":"cdkn-000328","url":"https://climateinsightsdirectory.org/document/cdkn-000328","title":"RAISING RISK AWARENESS: USING CLIMATE SCIENCE FOR DISASTER RISK MANAGEMENT","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"policy brief","language":"en","date_published":"2017","source_url":"https://cdkn.org/sites/default/files/files/2016-2017-Kenya-drought-policy-brief-1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document examines how climate science, specifically attribution science, can be used to link extreme weather events to climate change and inform disaster risk management. It highlights a case study of the 2016/2017 drought in Kenya, noting that while human-induced climate change signals were not strong for rainfall, hotter temperatures influenced by climate change and La Nina patterns contributed to the event. The brief recommends increased investment in national and subnational capacities for climate services, better inter-agency coordination, and the alignment of early warning systems with forecast-based early action.","ai_generated":true,"unit":"cdkn-000328#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Attribution science can enhance disaster risk management by improving risk awareness, strengthening preparedness through the anticipation of disasters, providing evidence for climate adaptation policies, and informing the allocation of resources for risk reduction programs.","ai_generated":true,"unit":"cdkn-000328#insight-1","date_modified":"2026-10-23"},{"text":"An attribution analysis of the 2016/2017 drought in North Western Kenya (Turkana and Marsabit) and South East Kenya (Kwale, Kilifi, Mombasa and Lamu) found that human-induced climate change did not show a strong signal in rainfall trends, but hotter temperatures likely influenced by climate change and La Nina patterns drove the drought.","ai_generated":true,"unit":"cdkn-000328#insight-2","date_modified":"2026-10-23"},{"text":"The 2016-17 drought was found to be a relatively common event with a low return time, and was less severe in Lamu than the 2010-11 drought, though comparable in Marsabit.","ai_generated":true,"unit":"cdkn-000328#insight-3","date_modified":"2026-10-23"},{"text":"The uptake of climate information for early warning in Kenya has been hindered by resource limitations, poor public awareness, gaps between science and policy, and the complexity of how climate information is presented.","ai_generated":true,"unit":"cdkn-000328#insight-4","date_modified":"2026-10-23"}],"climate_tags":["extreme event attribution","disaster risk reduction","Climate information service","early warning system","climate change adaptation","drought","climate variability"],"geography_discussed":["Turkana County","Marsabit County","Kwale County","Kilifi County","Mombasa County","Lamu County"],"frame_perspective":[],"analysis_type":["case study","policy analysis"]},{"id":"cdkn-000989","url":"https://climateinsightsdirectory.org/document/cdkn-000989","title":"The drought in Kenya, 2016–2017","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"research paper","language":"en","date_published":"2017","source_url":"https://cdkn.org/sites/default/files/files/The-drought-in-Kenya-2016-2017.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 2016–2017 drought in Kenya, declared a national emergency in February 2017, was primarily driven by sea surface temperature patterns, specifically La Niña. While attribution analysis found no strong climate change signal in rainfall trends, it concluded that temperatures during the drought were hotter than they would have been without human-induced climate change. The drought severely impacted 23 counties, leaving up to 4 million people in need of food aid by April 2017, though it was less extreme than the 2010–2011 event.","ai_generated":true,"unit":"cdkn-000989#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The 2016–2017 drought was declared a national emergency by the Government of Kenya on 10 February 2017, affecting 23 arid and semi-arid counties.","ai_generated":true,"unit":"cdkn-000989#insight-1","date_modified":"2026-10-23"},{"text":"The drought was primarily influenced by sea surface temperature patterns, specifically La Niña, which created drier conditions in both the northwest and southeast regions.","ai_generated":true,"unit":"cdkn-000989#insight-2","date_modified":"2026-10-23"},{"text":"Attribution analysis indicates that human-induced climate change made the temperatures during the drought hotter than they otherwise would have been, exacerbating the drought's effects.","ai_generated":true,"unit":"cdkn-000989#insight-3","date_modified":"2026-10-23"},{"text":"There is no strong detectable signal of climate change in the rainfall trends for the studied areas, although small changes in the risk of poor rains cannot be excluded.","ai_generated":true,"unit":"cdkn-000989#insight-4","date_modified":"2026-10-23"},{"text":"The 2016–2017 event was an extreme occurrence but was less severe than the 2010–2011 drought; for example, the 2010–2011 drought is expected to occur less frequently than once every 50 years.","ai_generated":true,"unit":"cdkn-000989#insight-5","date_modified":"2026-10-23"},{"text":"The drought caused significant humanitarian distress, with food aid needs estimated to reach 4 million people by April 2017 and over 350,000 severely malnourished pregnant mothers and children.","ai_generated":true,"unit":"cdkn-000989#insight-6","date_modified":"2026-10-23"}],"climate_tags":["drought","climate change","La Niña","sea surface temperature","food security","extreme weather event","extreme event attribution"],"geography_discussed":["Somalia","Ethiopia","Turkana County","Marsabit County","Kwale County","Kilifi County","Mombasa County","Lamu County","Nairobi"],"frame_perspective":[],"analysis_type":["attribution analysis","meteorological assessment","impact assessment"]},{"id":"gclifun-004932","url":"https://climateinsightsdirectory.org/document/gclifun-004932","title":"Source to Sea: Enhancing blue carbon ecosystems and community resilience in Kenya","publisher":{"name":"Green Climate Fund","organization":"green-climate-fund"},"document_type":"report","language":"en","date_published":null,"source_url":"https://www.greenclimate.fund/sites/default/files/document/29200-source-sea-enhancing-blue-carbon-ecosystems-and-community-resilience-kenya.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The project targets Kwale, Kilifi, Tana River, and Lamu counties to combat impacts from drought, storms, and coastal erosion. It proposes a 'Source-to-Sea' framework that links upstream agricultural management with downstream coastal ecosystem restoration. Key interventions include restoring mangroves, coral reefs, and seagrasses, implementing climate-resilient farming to reduce riverbank erosion and sedimentation, and establishing sustainable finance mechanisms like Payment for Ecosystem Services (PES) and blue carbon markets. The project aims to benefit approximately 323,100 direct beneficiaries, focusing on vulnerable fisherfolk and small-scale farmers, while addressing social issues such as gender-based violence and sex trafficking linked to economic desperation.","ai_generated":true,"unit":"gclifun-004932#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The project targets four Kenyan counties—Kwale, Kilifi, Tana River, and Lamu—focusing on five specific hotspots: Vanga, Mida Creek, Malindi, Ungwana, and Tana Delta.","ai_generated":true,"unit":"gclifun-004932#insight-1","date_modified":"2026-10-23"},{"text":"Coastal ecosystems in Kenya, specifically coral reefs, dissipate 97% of wave energy, providing a critical protective service against storms and coastal erosion.","ai_generated":true,"unit":"gclifun-004932#insight-2","date_modified":"2026-10-23"},{"text":"Upstream agricultural practices, driven by drought-induced encroachment onto riverbanks, cause significant sedimentation and eutrophication in the Sabaki and Tana Rivers, which smothers downstream coral reefs and seagrasses.","ai_generated":true,"unit":"gclifun-004932#insight-3","date_modified":"2026-10-23"},{"text":"Economic desperation caused by climate-induced livelihood failure has led to an increase in gender-based violence (GBV), forced prostitution, and the sex trafficking of girls in coastal communities.","ai_generated":true,"unit":"gclifun-004932#insight-4","date_modified":"2026-10-23"},{"text":"The project proposes a sustainable finance model using Payment for Ecosystem Services (PES) and blue carbon market access to fund the scaling of Ecosystem-based Adaptation (EbA) interventions.","ai_generated":true,"unit":"gclifun-004932#insight-5","date_modified":"2026-10-23"},{"text":"The project aims to directly benefit approximately 323,100 people, including 161,500 women and 161,500 men, with an additional 2.5 million indirect beneficiaries.","ai_generated":true,"unit":"gclifun-004932#insight-6","date_modified":"2026-10-23"},{"text":"Seaweed farming is identified as a viable alternative livelihood, particularly for women, with potential annual earnings of over $500 per farmer.","ai_generated":true,"unit":"gclifun-004932#insight-7","date_modified":"2026-10-23"},{"text":"The total indicative project cost is USD 37,838,300, with USD 20,650,000 requested as a grant from the Green Climate Fund.","ai_generated":true,"unit":"gclifun-004932#insight-8","date_modified":"2026-10-23"}],"climate_tags":["Mangrove restoration","ecosystem-based adaptation","climate finance","carbon emission trading","Climate-smart agriculture","coastal erosion","storm surge","sea level rise","ocean acidification","Integrated Water Resources Management"],"geography_discussed":["Vanga","Mida Creek","Malindi","Ungwana","Tanzania","Mozambique","Somalia"],"frame_perspective":[],"analysis_type":["project proposal","climate vulnerability assessment"]},{"id":"isdglo-000145","url":"https://climateinsightsdirectory.org/document/isdglo-000145","title":"scn-ea-lap-toolkit_en-a01b754ba059144a.pdf","publisher":{"name":"Institute for Strategic Dialogue","organization":"institute-for-strategic-dialogue"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://www.isdglobal.org/wp-content/uploads/2021/08/SCN-EA-LAP-Toolkit_EN.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document outlines a multisectoral approach to preventing and countering violent extremism (P/CVE) at the sub-national level. It details a five-step process for creating Local Action Plans (LAPs): securing political buy-in, conducting risk assessments, developing a Theory of Change, establishing coordination structures like Local Prevention Networks (LPNs), and legislating the plan. The guide emphasizes a 'whole-of-city' approach, drawing heavily on the Kenyan County Action Plan (CAP) model, and provides frameworks for monitoring and evaluation (M&E) to ensure sustainability beyond donor funding.","ai_generated":true,"unit":"isdglo-000145#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Local governments are uniquely positioned to lead P/CVE efforts because local leaders possess greater trust and proximity to their citizens, and the drivers of radicalisation are predominantly local.","ai_generated":true,"unit":"isdglo-000145#insight-1","date_modified":"2026-10-23"},{"text":"The Strong Cities Network (SCN) defines a 'model city' as one that possesses a multisectoral, community-focused Local Prevention Network (LPN) led by a prevention co-ordinator, driven by an LAP, informed by an evidence-based risk assessment, and integrated into local and national strategies.","ai_generated":true,"unit":"isdglo-000145#insight-2","date_modified":"2026-10-23"},{"text":"The Kenyan County Action Plan (CAP) model has evolved through three generations: first-generation strategic documents in coastal 'hotspots', second-generation NCTC-mandated plans in other at-risk counties, and third-generation 'Rapid CAPs' (RCAPs) which are short one-year documents for all remaining counties.","ai_generated":true,"unit":"isdglo-000145#insight-3","date_modified":"2026-10-23"},{"text":"Lessons from Kenya indicate that LAPs fail when they are driven solely by national government representatives, leading to a lack of local ownership and reluctance by county governments to fund activities.","ai_generated":true,"unit":"isdglo-000145#insight-4","date_modified":"2026-10-23"},{"text":"To ensure sustainability and legitimacy, LAPs must be grounded in local legislation or policy frameworks, such as executive orders, bills passed by locally elected assemblies, or 'peace and cohesion bills'.","ai_generated":true,"unit":"isdglo-000145#insight-5","date_modified":"2026-10-23"},{"text":"Funding for LAPs should be diversified across four streams to avoid over-reliance on donor funding: maximising existing in-kind resources, utilising local and national government budgets, generating private sector support, and accessing donor or CSO funding.","ai_generated":true,"unit":"isdglo-000145#insight-6","date_modified":"2026-10-23"},{"text":"Effective monitoring and evaluation (M&E) requires a Theory of Change (ToC) that links inputs, activities, outputs, immediate outcomes, intermediate outcomes, and the ultimate goal.","ai_generated":true,"unit":"isdglo-000145#insight-7","date_modified":"2026-10-23"}],"climate_tags":["community resilience","public policy","climate finance"],"geography_discussed":["Kenya","Jordan","Lebanon","North Macedonia","Kwale County","Mombasa County","Isiolo County","Nakuru County","Kumanovo"],"frame_perspective":[],"analysis_type":["guide","framework"]}]}