{"query_echo":{"q":"","filters":{"geography":["Bangladesh"]},"warnings":[]},"total":{"value":1129,"relation":"eq"},"page":6,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=Bangladesh&page=6","next":"https://climateinsightsdirectory.org/api/v1/search?geography=Bangladesh&page=7","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":"clipolin-001155","url":"https://climateinsightsdirectory.org/document/clipolin-001155","title":"Integrating Urban and Subnational Priorities into Country Platforms","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"policy brief","language":"en","date_published":"2025-04","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2025/05/Integrating-Urban-and-Subnational-Priorities-into-Country-Platforms.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The policy brief argues that meeting Paris Agreement goals requires a fivefold increase in urban climate finance to USD 4.3 trillion per year by 2030. It identifies critical barriers to subnational integration, including political misalignment, capacity gaps, and creditworthiness constraints. To address these, the authors present a five-stage 'Urban-inclusive Country Platform Framework' moving from initial engagement to implementation. The brief applies this framework to case studies in Egypt, Brazil, and India, highlighting opportunities to shift from fragmented project-based funding to strategic, programmatic approaches that empower cities as active partners in climate action.","ai_generated":true,"unit":"clipolin-001155#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Urban climate finance needs to increase significantly to meet 2030 mitigation targets, requiring a growth of at least five times the current level to reach USD 4.3 trillion annually.","ai_generated":true,"unit":"clipolin-001155#insight-1","date_modified":"2026-10-23"},{"text":"Subnational governments face systemic barriers that hinder their integration into national climate platforms, categorized into governance (e.g., political misalignment), project-level (e.g., lack of investment-ready pipelines), and financial (e.g., limited creditworthiness) challenges.","ai_generated":true,"unit":"clipolin-001155#insight-2","date_modified":"2026-10-23"},{"text":"The proposed urban-inclusive framework consists of five sequential stages: Initial Engagement, Program Readiness, Investment Program, Financing, and Implementation, designed to move countries from early interest to adaptive delivery of urban climate projects.","ai_generated":true,"unit":"clipolin-001155#insight-3","date_modified":"2026-10-23"},{"text":"In Egypt, the Nexus for Water, Food, and Energy (NWFE) platform is currently centralized with no formal role for subnational governments, but it could integrate urban dimensions through sectoral working groups or by adding a dedicated urban pillar.","ai_generated":true,"unit":"clipolin-001155#insight-4","date_modified":"2026-10-23"},{"text":"Brazil's Climate and Ecological Transformation Investment Platform (BIP) provides a strong foundation for urban integration due to the country's decentralized governance and the platform's explicit reference to cities and states as key actors.","ai_generated":true,"unit":"clipolin-001155#insight-5","date_modified":"2026-10-23"},{"text":"India lacks a single formalized country platform but possesses a diverse ecosystem of national programs and subnational frameworks, such as State Action Plans on Climate Change (SAPCCs), that could be consolidated into an urban-inclusive platform.","ai_generated":true,"unit":"clipolin-001155#insight-6","date_modified":"2026-10-23"},{"text":"Development finance institutions (DFIs) are under-represented in urban climate funding; while they provide 28% of all global climate finance, they only account for 7% of tracked finance directed toward cities.","ai_generated":true,"unit":"clipolin-001155#insight-7","date_modified":"2026-10-23"}],"climate_tags":["climate finance","climate change mitigation","climate change adaptation","climate resilience","just transition","multilateral development bank","Blended Finance"],"geography_discussed":["Egypt","Brazil","India","Bangladesh","South Africa","Senegal"],"frame_perspective":[],"analysis_type":["policy framework","case study","gap analysis"]},{"id":"cmw-000835","url":"https://climateinsightsdirectory.org/document/cmw-000835","title":"How international credits dilute the effectiveness of the Korean Emissions Trading Scheme","publisher":{"name":"Carbon Market Watch","organization":"carbon-market-watch"},"document_type":"report","language":"en","date_published":"2025-04","source_url":"https://carbonmarketwatch.org/wp-content/uploads/2025/04/Plan-1.5-Recipe-for-Greenwashing.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report argues that the Korean Emissions Trading Scheme (K-ETS) is undermined by a reliance on low-quality international carbon credits, which lead to over-crediting and depressed carbon prices. Using the EU ETS as a benchmark, the authors demonstrate how the EU phased out international credits to prioritize domestic reductions. A specific analysis of cookstove projects eligible for K-ETS finds they likely overestimate emission reductions by a factor of 18.3. The report also highlights systemic issues with hydropower and gas leak reduction projects, including lack of additionality and environmental harm. It recommends that South Korea ban international credits from the K-ETS, strengthen emission caps, and avoid using unreliable bilateral cooperation projects under Article 6.2 of the Paris Agreement to meet its 2030 Nationally Determined Contribution (NDC).","ai_generated":true,"unit":"cmw-000835#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Korean Emissions Trading Scheme (K-ETS) covers 73% of South Korea's emissions and is central to its goal of reducing greenhouse gas emissions by 40% from 2018 levels by 2030, yet it is hindered by low allowance prices and reliance on international credits.","ai_generated":true,"unit":"cmw-000835#insight-1","date_modified":"2026-10-23"},{"text":"Analysis of cookstove projects eligible for the K-ETS reveals a massive overestimation of emission reductions, with credits issued being 18.3 times higher than the actual climate impact.","ai_generated":true,"unit":"cmw-000835#insight-2","date_modified":"2026-10-23"},{"text":"The primary drivers of over-crediting in cookstove projects are the use of biased methods to determine the fraction of non-renewable biomass (fNRB) and stacking rates, followed by usage, fuel consumption, and adoption rates.","ai_generated":true,"unit":"cmw-000835#insight-3","date_modified":"2026-10-23"},{"text":"Hydropower projects used in the K-ETS often fail the test of additionality, as they are typically driven by government planning rather than the financial incentive of carbon credits.","ai_generated":true,"unit":"cmw-000835#insight-4","date_modified":"2026-10-23"},{"text":"Avoided gas leakage projects are prone to overestimating baseline emissions by assuming leaks remain unrepaired for up to seven years, creating a risk of issuing 'junk credits'.","ai_generated":true,"unit":"cmw-000835#insight-5","date_modified":"2026-10-23"},{"text":"The EU ETS provides a precedent for improving environmental integrity by excluding international credits by 2021 to focus on domestic decarbonization and prevent the depression of carbon prices.","ai_generated":true,"unit":"cmw-000835#insight-6","date_modified":"2026-10-23"},{"text":"The EU's Carbon Border Adjustment Mechanism (CBAM) is designed to prevent carbon leakage and does not accept international offsetting credits as allowances.","ai_generated":true,"unit":"cmw-000835#insight-7","date_modified":"2026-10-23"},{"text":"The current South Korean government has delayed lowering the K-ETS cap and reduced it using reserves rather than cancelling free allowances, which has not contributed to actual greenhouse gas reductions.","ai_generated":true,"unit":"cmw-000835#insight-8","date_modified":"2026-10-23"},{"text":"South Korea's plan to use 37.5 million tonnes of international credits via Article 6.2 bilateral cooperation is criticized for potentially using projects with negligible climate impact, such as REDD+.","ai_generated":true,"unit":"cmw-000835#insight-9","date_modified":"2026-10-23"},{"text":"The report recommends that the South Korean government ban international credits from the K-ETS or establish a transparent, independent expert committee to verify and potentially discount existing certified credits.","ai_generated":true,"unit":"cmw-000835#insight-10","date_modified":"2026-10-23"}],"climate_tags":["emission trading","European Union Emission Trading Scheme 1","carbon offset","hydropower","carbon leakage","Carbon Border Adjustment Mechanism","Nationally Determined Contributions","Reducing emissions from deforestation and forest degradation","clean development mechanism"],"geography_discussed":["European Union","Guatemala","Fiji","Cambodia","Kenya","Ghana","Nigeria","Indonesia","Pakistan","Bangladesh","Vietnam","Mongolia"],"frame_perspective":[],"analysis_type":["policy evaluation","quantitative analysis","literature review"]},{"id":"gem-000177","url":"https://climateinsightsdirectory.org/document/gem-000177","title":"Boom and Bust Coal 2025","publisher":{"name":"Global Energy Monitor","organization":"global-energy-monitor"},"document_type":"report","language":"en","date_published":"2025-04","source_url":"https://globalenergymonitor.org/sites/default/files/migration/reports/Boom-Bust-Coal-2025_23.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"In 2024, the world commissioned the lowest amount of new coal power capacity in twenty years (44 GW), yet the global fleet still grew by 18.8 GW because additions exceeded retirements (25.2 GW). While the UK became the sixth country to phase out coal entirely and EU27 retirements grew fourfold, China and India dominated new developments, accounting for 92% of all newly proposed coal capacity. China saw its highest construction starts since 2015 (94 GW), and India recorded its highest year for new proposals (38.4 GW). In the OECD, proposals dropped to five, but annual retirements must more than triple to 70 GW to align with 1.5C pathways. Other trends include a surge in captive coal plants in Indonesia, the promotion of ammonia co-firing in Japan and South Korea, and continued coal pursuit in Russia, Mongolia, and Central Asia.","ai_generated":true,"unit":"gem-000177#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Global newly operating coal power capacity in 2024 reached its lowest level since 2004, totaling 44 GW, which is nearly 30 GW below the 2004-2024 annual average of 72 GW.","ai_generated":true,"unit":"gem-000177#insight-1","date_modified":"2026-10-23"},{"text":"Despite the low commissioning rate, the global coal fleet grew by 18.8 GW in 2024 because the 44 GW of new capacity exceeded the 25.2 GW retired.","ai_generated":true,"unit":"gem-000177#insight-2","date_modified":"2026-10-23"},{"text":"China and India are the primary drivers of new coal development, together accounting for 92% (107.3 GW) of all newly proposed coal power capacity in 2024.","ai_generated":true,"unit":"gem-000177#insight-3","date_modified":"2026-10-23"},{"text":"China experienced its highest volume of construction starts since 2015, with 94 GW starting in 2024 following a permitting boom in 2022 and 2023.","ai_generated":true,"unit":"gem-000177#insight-4","date_modified":"2026-10-23"},{"text":"India saw a record high of 38.4 GW in new coal plant proposals in 2024, with state-owned entities sponsoring approximately 60% (22.1 GW) of these proposals.","ai_generated":true,"unit":"gem-000177#insight-5","date_modified":"2026-10-23"},{"text":"The United Kingdom officially became coal-free in 2024 after shutting down its last coal plant on September 30, 2024, making it the sixth country to phase out coal entirely since the 2015 Paris agreement.","ai_generated":true,"unit":"gem-000177#insight-6","date_modified":"2026-10-23"},{"text":"Coal retirements in the EU27 increased fourfold from 2.7 GW in 2023 to 11 GW in 2024, with Germany accounting for 6.7 GW of that total.","ai_generated":true,"unit":"gem-000177#insight-7","date_modified":"2026-10-23"},{"text":"To meet the international Paris climate agreement and keep warming below 1.5C, annual coal capacity retirements in OECD countries must increase from 19 GW in 2024 to 70 GW.","ai_generated":true,"unit":"gem-000177#insight-8","date_modified":"2026-10-23"},{"text":"Indonesia's coal capacity under development has dropped 90% since 2015, but operating capacity has increased due to a surge in captive coal plants for industrial use, particularly in the nickel processing sector.","ai_generated":true,"unit":"gem-000177#insight-9","date_modified":"2026-10-23"},{"text":"Japan and South Korea are promoting ammonia co-firing as a decarbonization strategy, despite the technology being expensive and failing to meet the 90% emission reduction threshold suggested by the IPCC for 'abated' coal.","ai_generated":true,"unit":"gem-000177#insight-10","date_modified":"2026-10-23"},{"text":"Russia, Mongolia, and Central Asian countries (Kazakhstan, Kyrgyzstan, Tajikistan, and Uzbekistan) are bucking global trends by continuing to pursue new coal plants.","ai_generated":true,"unit":"gem-000177#insight-11","date_modified":"2026-10-23"}],"climate_tags":["coal power","phase-out","carbon capture and storage","Cofiring","renewable energy","Paris Agreement","just transition","climate finance","greenhouse gas emissions","energy transition"],"geography_discussed":["People's Republic of China","India","United Kingdom","European Union","United States","Indonesia","Japan","South Korea","Brazil","Russia","Mongolia","Kazakhstan","Zimbabwe","Zambia","Vietnam","Philippines","Colombia","Chile","Pakistan","Bangladesh","Turkey","Australia"],"frame_perspective":[],"analysis_type":["infrastructure tracking","policy analysis","trend analysis"]},{"id":"prio-001429","url":"https://climateinsightsdirectory.org/document/prio-001429","title":"Women exposed to armed conflict, 1990–2024","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"policy brief","language":"en","date_published":"2025-04","source_url":"https://cdn.cloud.prio.org/files/3fa012c5-d69e-4930-962a-3e4a5a896834/GPS Policy Brief 4 2025.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that 676 million women, or 17% of the global female population, lived within 50 km of a deadly conflict event in 2024, more than doubling the number since 1990. It highlights that while high-intensity conflicts gain more media attention, medium-intensity protracted conflicts are strongly correlated with lower Human Development Index (HDI) scores. The brief identifies Bangladesh as having the highest absolute number of women exposed to conflict, while 100% of women in Syria, Lebanon, and Israel/Palestine were affected. Using Nigeria as a case study, it demonstrates significant subnational variation in conflict intensity and types of violence, including state-based, communal, and criminal violence.","ai_generated":true,"unit":"prio-001429#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In 2024, an estimated 676 million women, representing approximately 17% of the global female population, lived within 50 km of a deadly conflict event. This figure is the highest recorded since the 1990s and represents more than double the number of women exposed in 1990.","ai_generated":true,"unit":"prio-001429#insight-1","date_modified":"2026-10-23"},{"text":"Conflict exposure varies by intensity: in 2024, approximately 245 million women lived in conflict zones with more than 25 battle-related deaths, and 113 million lived in zones with over 100 such deaths.","ai_generated":true,"unit":"prio-001429#insight-2","date_modified":"2026-10-23"},{"text":"Geographic distribution of exposure varies significantly; Bangladesh had the highest absolute number of women living near conflict in 2024. In Syria, Lebanon, and Israel/Palestine, 100% of the female population lived within 50 km of a deadly event.","ai_generated":true,"unit":"prio-001429#insight-3","date_modified":"2026-10-23"},{"text":"There is a strong negative correlation between the proportion of women living in conflict zones and a country's Human Development Index (HDI). Medium-intensity conflicts (2,500 to 5,000 battle-related deaths), often characterized as protracted, tend to score significantly lower on the HDI than high-intensity conflicts.","ai_generated":true,"unit":"prio-001429#insight-4","date_modified":"2026-10-23"},{"text":"Protracted medium-intensity conflicts are exacerbated by a decline in foreign aid, specifically the withdrawal of USAID, which threatens infrastructure and may increase recruitment into rebel groups.","ai_generated":true,"unit":"prio-001429#insight-5","date_modified":"2026-10-23"},{"text":"Subnational analysis of Nigeria reveals diverse conflict drivers and intensities: the northeast is impacted by Boko Haram and the Islamic State (IS), the southwest by the criminal organization Black Axe, and the South-South region by the Indigenous People of Biafra (IPOB). Borno State experiences the highest intensity, with half of the women in conflict zones exposed to over 100 battle-related deaths.","ai_generated":true,"unit":"prio-001429#insight-6","date_modified":"2026-10-23"}],"climate_tags":["gender equality"],"geography_discussed":["Bangladesh","Syria","Lebanon","Israel","Palestine","Nigeria","Borno State","Ukraine","Gaza Strip","Sudan"],"frame_perspective":[],"analysis_type":["quantitative analysis","geographic mapping","correlation analysis"]},{"id":"trendas-000119","url":"https://climateinsightsdirectory.org/document/trendas-000119","title":"Boom and Bust Coal 2025","publisher":{"name":"Trend Asia","organization":"trend-asia"},"document_type":"report","language":"en","date_published":"2025-04","source_url":"https://trendasia.org/wp-content/uploads/2025/05/Boom-Bust-Coal-2025.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"In 2024, the world commissioned the lowest amount of new coal power capacity in twenty years (44 GW), yet the global coal fleet still grew by 18.8 GW because additions exceeded retirements. The report highlights a stark divergence: while the UK became coal-free and EU27 retirements quadrupled, China saw its highest construction starts since 2015 (94 GW) and India recorded its highest year for new proposals (38.4 GW). Together, China and India accounted for 92% of all newly proposed coal capacity in 2024. In the OECD, proposals have plummeted from 142 in 2015 to five today, though annual retirements must more than triple to 70 GW to meet 1.5°C pathways. The report also notes the rise of 'captive' coal plants in Indonesia and the promotion of ammonia co-firing in Japan and South Korea as strategies to prolong coal use.","ai_generated":true,"unit":"trendas-000119#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Global newly operating coal power capacity reached its lowest level in two decades in 2024, totaling 44 GW, which is nearly 30 GW below the 2004-2024 annual average of 72 GW.","ai_generated":true,"unit":"trendas-000119#insight-1","date_modified":"2026-10-23"},{"text":"Despite the low commissioning rate, the global coal fleet grew by 18.8 GW in 2024 because the 44 GW of new capacity exceeded the 25.2 GW retired.","ai_generated":true,"unit":"trendas-000119#insight-2","date_modified":"2026-10-23"},{"text":"China experienced a significant surge in coal development in 2024, with 94 GW of construction starts, the highest since 2015, following a permitting boom in 2022 and 2023.","ai_generated":true,"unit":"trendas-000119#insight-3","date_modified":"2026-10-23"},{"text":"India saw a record high of 38.4 GW in new coal plant proposals in 2024, with the government aiming to add 93 GW of new capacity by 2032.","ai_generated":true,"unit":"trendas-000119#insight-4","date_modified":"2026-10-23"},{"text":"China and India are increasingly the only major drivers of new coal, together accounting for 92% (107.3 GW) of all newly proposed coal power capacity globally in 2024.","ai_generated":true,"unit":"trendas-000119#insight-5","date_modified":"2026-10-23"},{"text":"The United Kingdom officially became coal-free in September 2024 after shutting down its last coal plant, making it the sixth country to phase out coal entirely since the 2015 Paris agreement.","ai_generated":true,"unit":"trendas-000119#insight-6","date_modified":"2026-10-23"},{"text":"Coal retirements in the EU27 grew fourfold in 2024, increasing from 2.7 GW in 2023 to 11 GW, with Germany accounting for 6.7 GW of that total.","ai_generated":true,"unit":"trendas-000119#insight-7","date_modified":"2026-10-23"},{"text":"In the OECD, coal plant proposals have dropped from 142 in 2015 to five in 2024, but annual retirements must increase from 19 GW to 70 GW to align with the IEA Net Zero scenario.","ai_generated":true,"unit":"trendas-000119#insight-8","date_modified":"2026-10-23"},{"text":"Indonesia is seeing a surge in 'captive' coal plants for industrial use, which accounted for over 80% of the country's 1.9 GW of new capacity additions in 2024.","ai_generated":true,"unit":"trendas-000119#insight-9","date_modified":"2026-10-23"},{"text":"Japan and South Korea are promoting ammonia co-firing as a decarbonization strategy, despite the technology's high cost and failure to meet the 90% emission reduction threshold required to be considered 'abated'.","ai_generated":true,"unit":"trendas-000119#insight-10","date_modified":"2026-10-23"},{"text":"In Africa, Zimbabwe and Zambia are increasing proposed coal capacity, with much of the development sponsored by Chinese companies.","ai_generated":true,"unit":"trendas-000119#insight-11","date_modified":"2026-10-23"},{"text":"Private financial support for coal remains high, with commercial banks providing US$470 billion in loans and underwriting to the coal industry between January 2021 and December 2023.","ai_generated":true,"unit":"trendas-000119#insight-12","date_modified":"2026-10-23"}],"climate_tags":["coal power","phase-out","energy transition","Paris Agreement","Cofiring","carbon capture and storage","climate finance","Net-zero emissions","renewable energy","just transition"],"geography_discussed":["People's Republic of China","India","United Kingdom","European Union","United States","Indonesia","Japan","South Korea","Brazil","Zimbabwe","Zambia","Vietnam","Philippines","Russia","Mongolia","Kazakhstan","Turkey","Australia","Colombia","Chile","Pakistan","Bangladesh","South Africa"],"frame_perspective":[],"analysis_type":["trend analysis","policy assessment","geographic comparison"]},{"id":"trendas-000016","url":"https://climateinsightsdirectory.org/document/trendas-000016","title":"Pernyataan Sikap atas Energi Biomassa Hutan","publisher":{"name":"Trend Asia","organization":"trend-asia"},"document_type":"statement","language":"id","date_published":"2025-03-06","source_url":"https://trendasia.org/pernyataan-delusi-biomassa/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The statement argues that large-scale forest biomass energy is not carbon neutral and actively harms the climate, biodiversity, and human rights. It claims that current carbon accounting erroneously labels biomass as zero-emission, which masks the actual greenhouse gas releases and encourages deforestation. The document further asserts that biomass energy extends the lifespan of coal plants and diverts investment from truly low-emission renewables like wind and solar. It calls on governments and financial institutions to stop the expansion of the biomass industry and eliminate related subsidies in favor of forest restoration.","ai_generated":true,"unit":"trendas-000016#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Large-scale forest biomass energy is not carbon neutral because it immediately releases significant greenhouse gases, while the forests required to reabsorb that carbon take decades or centuries to grow, making the process too slow to meet the Paris Agreement's 1.5°C target.","ai_generated":true,"unit":"trendas-000016#insight-1","date_modified":"2026-10-23"},{"text":"Current carbon accounting rules are flawed because they treat biomass as a zero-emission technology in the energy sector by shifting the emission responsibility to the producers who log the forests, which often underestimates actual emissions.","ai_generated":true,"unit":"trendas-000016#insight-2","date_modified":"2026-10-23"},{"text":"The use of forest biomass threatens biodiversity and climate resilience by increasing deforestation, degrading ecosystems, and replacing natural forests with monoculture plantations, which impairs the forest's ability to provide essential services like clean drinking water and flood protection.","ai_generated":true,"unit":"trendas-000016#insight-3","date_modified":"2026-10-23"},{"text":"The biomass industry negatively impacts local communities by exacerbating land conflicts and land grabbing, threatening the rights and livelihoods of indigenous and local peoples, and causing respiratory illnesses due to air pollution from production and combustion facilities.","ai_generated":true,"unit":"trendas-000016#insight-4","date_modified":"2026-10-23"},{"text":"Forest biomass energy hinders the transition to clean energy by extending the operational life of coal-fired power plants through co-firing and diverting government incentives away from lower-emission technologies such as wind and solar power.","ai_generated":true,"unit":"trendas-000016#insight-5","date_modified":"2026-10-23"}],"climate_tags":["carbon accounting","deforestation","greenhouse gas emissions","biodiversity","Paris Agreement","land grabbing","coal-fired power station","wind power","solar energy","forest restoration"],"geography_discussed":["Indonesia","Australia","United States","India","European Union","People's Republic of China","Canada","France","United Kingdom","Germany","Netherlands","Asia Pacific","Bangladesh","Russia","Ghana","Benin","Togo","Philippines","Colombia","Chile","Czech Republic","Finland","Estonia","Nepal","Japan","Poland","South Africa","Paraguay","Kosovo","Malaysia","Spain","South Korea","Pakistan","Sweden","Liberia","Italy","Ireland","Portugal"],"frame_perspective":[],"analysis_type":["policy analysis","position statement"]},{"id":"gclifun-005229","url":"https://climateinsightsdirectory.org/document/gclifun-005229","title":"ESS disclosure report form for subprojects","publisher":{"name":"Green Climate Fund","organization":"green-climate-fund"},"document_type":"report","language":"en","date_published":"2025-03-01","source_url":"https://www.greenclimate.fund/sites/default/files/document/fp206-1-pksf-rhl.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document details the environmental and social safeguard (ESS) compliance and disclosure process for the Resilient Homestead and Livelihood Support to the Vulnerable Coastal People of Bangladesh (RHL) programme. Managed by the Palli Karma-Sahayak Foundation (PKSF), the programme is classified as ESS Category B. It outlines the disclosure of the Environmental and Social Action Plan (ESAP) and the Indigenous Peoples Planning Framework (IPPF) in English and Bangla to ensure accessibility for affected populations in several coastal districts of Bangladesh.","ai_generated":true,"unit":"gclifun-005229#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The RHL programme and its subprojects are classified as ESS Category B, with the Environmental and Social Management Plan (ESMP) for subprojects integrated as a chapter within the 'Environmental and Social Action Plan (ESAP)'.","ai_generated":true,"unit":"gclifun-005229#insight-1","date_modified":"2026-10-23"},{"text":"The programme targets seven specific districts in coastal Bangladesh: Satkhira, Khulna, Bagerhat, Barguna, Patuakhali, Bhola, and Cox’s Bazar.","ai_generated":true,"unit":"gclifun-005229#insight-2","date_modified":"2026-10-23"},{"text":"Disclosure of the Environmental and Social Action Plan (ESAP) occurred on March 1, 2025, via the PKSF website and in hard copy at PKSF headquarters and implementing entity field offices, provided in both English and Bangla.","ai_generated":true,"unit":"gclifun-005229#insight-3","date_modified":"2026-10-23"},{"text":"An Indigenous Peoples Planning Framework (IPPF) was disclosed on June 9, 2023, in English, with a Bangla version subsequently disclosed on June 16, 2023.","ai_generated":true,"unit":"gclifun-005229#insight-4","date_modified":"2026-10-23"}],"climate_tags":["coastal management","Environmental and Social Safeguards","climate change adaptation"],"geography_discussed":["Satkhira District","Khulna District","Bagerhat District","Barguna District","Patuakhali District","Bhola District","Cox's Bazar District","Dhaka"],"frame_perspective":[],"analysis_type":["compliance report"]},{"id":"wri-001776","url":"https://climateinsightsdirectory.org/document/wri-001776","title":"Opportunities for methane mitigation in agriculture","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"report","language":"en","date_published":"2025-03","source_url":"https://files.wri.org/d8/s3fs-public/2025-02/opportunities-methane-mitigation-agriculture.pdf?VersionId=WTCnIgnw7ktdUcbayS3Xl0pKHZ3s_BHF&_gl=1*mi8g8t*_gcl_au*ODc3NTI2ODY1LjE3NDg0NDY0NDY.","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report identifies a wide array of solutions to reduce agricultural methane, which accounts for approximately half of global anthropogenic methane emissions. Key strategies include improving livestock feed efficiency, using methane inhibitors like 3-NOP and Asparagopsis seaweed, implementing advanced manure treatments such as acidification and solid-liquid separation, and adopting water-management practices in rice cultivation like alternate wetting and drying. The authors emphasize that while many technologies are market-ready, widespread adoption is hindered by financial and regulatory barriers, necessitating stronger government support and private sector engagement.","ai_generated":true,"unit":"wri-001776#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Agriculture is responsible for approximately 50% of global anthropogenic methane emissions, with livestock (enteric and manure) accounting for nearly 65% of those agricultural emissions.","ai_generated":true,"unit":"wri-001776#insight-1","date_modified":"2026-10-23"},{"text":"Improving feed efficiency in low- and middle-income countries (LMICs) by enhancing the digestibility of crop residues can significantly reduce enteric methane intensity. For example, adopting dual-purpose crops in India's mixed-crop livestock systems could increase output per animal by 87% and reduce methane emissions per kg of output by 31%.","ai_generated":true,"unit":"wri-001776#insight-2","date_modified":"2026-10-23"},{"text":"The synthetic methane inhibitor 3-Nitroxypropanol (3-NOP) is approved in over 60 countries and can reduce methane intensity in dairy cows by 16–41.6% and in beef cattle by 4–76%. Its estimated mitigation cost for lactating dairy cows is $144/tonne CO2e for a 30% reduction.","ai_generated":true,"unit":"wri-001776#insight-3","date_modified":"2026-10-23"},{"text":"Asparagopsis (red seaweed) shows high methane reduction potential, ranging from 26–67% in dairy cows and 38–98% in beef cattle, but faces challenges regarding bromoform safety and high production costs ($243–$625/tonne CO2e).","ai_generated":true,"unit":"wri-001776#insight-4","date_modified":"2026-10-23"},{"text":"Other enteric inhibitors include nitrates (10.9–30% reduction), lipids (3–17% reduction), and plant metabolites (9–38% reduction). Lipids using waste cooking oil are particularly cost-effective at $84/tonne CO2e for a 10% reduction.","ai_generated":true,"unit":"wri-001776#insight-5","date_modified":"2026-10-23"},{"text":"Genetic selection for low-methane traits could theoretically reduce emissions by 11–26% over 10 years, though it requires significant industry investment in phenotyping.","ai_generated":true,"unit":"wri-001776#insight-6","date_modified":"2026-10-23"},{"text":"Solid-liquid separation of manure can reduce methane emissions by 25–62% at a relatively low cost of $5–$24 per tonne of CO2e.","ai_generated":true,"unit":"wri-001776#insight-7","date_modified":"2026-10-23"},{"text":"Anaerobic digestion can reduce manure methane by 17–85%, but it is expensive ($190–$240/tonne CO2e for 50% reduction) and risks methane leakage.","ai_generated":true,"unit":"wri-001776#insight-8","date_modified":"2026-10-23"},{"text":"In rice cultivation, alternate wetting and drying (AWD) can reduce methane emissions by 20–72% while significantly saving water, though it may increase nitrous oxide emissions.","ai_generated":true,"unit":"wri-001776#insight-9","date_modified":"2026-10-23"},{"text":"Mid-season drainage in rice fields can reduce methane emissions by 38–80%, with a meta-analysis showing a 47% decrease in overall CO2e emissions compared to continuous flooding.","ai_generated":true,"unit":"wri-001776#insight-10","date_modified":"2026-10-23"},{"text":"Drip irrigation for rice, pioneered by Netafim, claims up to 90% methane reduction and has shown 70–80% reduction in literature, alongside yield improvements of 15.1–23.5%.","ai_generated":true,"unit":"wri-001776#insight-11","date_modified":"2026-10-23"},{"text":"Direct-seeded rice (DSR) can reduce methane emissions by 47–65% compared to conventional transplanted flooded rice.","ai_generated":true,"unit":"wri-001776#insight-12","date_modified":"2026-10-23"},{"text":"Breeding low-methane rice varieties, such as the SUSIBA 2 variety, can reduce methane emissions per hectare by 22–51%.","ai_generated":true,"unit":"wri-001776#insight-13","date_modified":"2026-10-23"},{"text":"Combining water drawdown and off-season rice straw application could potentially reduce global rice production methane emissions by more than 30%.","ai_generated":true,"unit":"wri-001776#insight-14","date_modified":"2026-10-23"}],"climate_tags":["agricultural productivity","Paris Agreement","climate finance"],"geography_discussed":["India","People's Republic of China","Brazil","United States","Denmark","Australia","European Union","United Kingdom","Ethiopia","Philippines","Bangladesh"],"frame_perspective":[],"analysis_type":["technological assessment","economic analysis","regulatory review"]},{"id":"climcent-000118","url":"https://climateinsightsdirectory.org/document/climcent-000118","title":"Year of the Glacier","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"fact sheet","language":"en","date_published":"2025-01-29","source_url":"https://www.climatecentral.org/climate-matters/year-of-the-glacier-2025","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document highlights the 2025 International Year of Glaciers' Preservation, detailing how human-caused climate change is accelerating glacial melt. It emphasizes the role of glaciers as 'water towers' providing freshwater for billions and warns of increasing risks from glacial lake outburst floods (GLOFs), particularly in Asia and the Americas. The text notes that glaciers in 50 UNESCO World Heritage sites are losing an average of 58 billion tonnes of ice annually, with a third projected to vanish within 25 years.","ai_generated":true,"unit":"climcent-000118#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The International Year of Glaciers' Preservation was launched on January 21, 2025, by UNESCO and the World Meteorological Organization (WMO) to raise awareness about the role of glaciers and the need for their protection.","ai_generated":true,"unit":"climcent-000118#insight-1","date_modified":"2026-10-23"},{"text":"Glacial mass loss is accelerating, with seven of the ten years of most significant loss occurring since 2010. Between 2000 and 2019, the annual rate of glacial thinning nearly doubled, excluding the Greenland and Antarctic ice sheets, and glacial melt contributed 21% of total observed global sea-level rise during that period.","ai_generated":true,"unit":"climcent-000118#insight-2","date_modified":"2026-10-23"},{"text":"Over 18,000 glaciers across 50 UNESCO World Heritage sites are melting at an average rate of 58 billion tonnes of ice per year. It is projected that one-third of these glaciers will disappear entirely within the next 25 years, affecting sites such as Vatnajökull National Park in Iceland and Los Glaciares National Park in Argentina.","ai_generated":true,"unit":"climcent-000118#insight-3","date_modified":"2026-10-23"},{"text":"Glacial retreat increases the risk of glacial lake outburst floods (GLOFs), which have caused over 12,500 deaths since 1900. More than 15 million people are currently highly vulnerable to GLOFs, with the highest risks found in China, India, Pakistan, and Peru.","ai_generated":true,"unit":"climcent-000118#insight-4","date_modified":"2026-10-23"},{"text":"Specific recent GLOF events include an October 2023 flood from India's South Lhonak Lake that killed 46 people and displaced nearly 90,000 across northern Bangladesh, West Bengal, and Sikkim, and an August 2023 flood from Mendenhall Glacier in Juneau, Alaska.","ai_generated":true,"unit":"climcent-000118#insight-5","date_modified":"2026-10-23"}],"climate_tags":["glacial retreat","sea level rise","water security","glacier lake outburst flood","biodiversity","climate change","carbon dioxide emissions"],"geography_discussed":["North America","United States","Alaska","Canada","Argentina","Iceland","India","Pakistan","Peru","People's Republic of China","Bangladesh"],"frame_perspective":[],"analysis_type":["fact sheet"]},{"id":"ipie-000089","url":"https://climateinsightsdirectory.org/document/ipie-000089","title":"선거 캠페인에서의 생성형 AI: 글로벌 패턴 매핑 정책 입안자를 위한 요약","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"ko","date_published":"2025-01","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0cb3311bb4c0a3808958_Final%20KO%20Elections%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes 215 cases of GenAI use in 2024 elections across 50 countries, finding that 80% of these countries experienced GenAI-related incidents. The majority of these cases (90%) involved content creation, such as deepfake audio and video, and 69% were classified as harmful to the electoral process. A significant portion of the content (46%) had untraceable origins, while 20% was attributed to foreign actors, all of whom were found to be acting with harmful intent. The document advocates for increased transparency, disclosure mandates for AI-generated political content, and improved detection mechanisms to protect democratic integrity.","ai_generated":true,"unit":"ipie-000089#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Generative AI was prevalent in 2024 elections, with 80% of the 50 analyzed countries experiencing GenAI cases. The highest volumes of cases were recorded in India and the United States, with 30 cases each.","ai_generated":true,"unit":"ipie-000089#insight-1","date_modified":"2026-10-23"},{"text":"The primary application of GenAI in elections is content creation, accounting for 90% of cases. This includes the production of audio messages, images, videos, and social media posts, often combined with targeted distribution to maximize influence.","ai_generated":true,"unit":"ipie-000089#insight-2","date_modified":"2026-10-23"},{"text":"A large proportion of GenAI-generated electoral content has anonymous or untraceable origins. Specifically, 46% of cases had unknown sources, while 25% were produced by political candidates and parties, and 20% by foreign actors.","ai_generated":true,"unit":"ipie-000089#insight-3","date_modified":"2026-10-23"},{"text":"The majority of GenAI applications in elections were harmful, with 69% of cases described as playing a detrimental role. Notably, 100% of GenAI use by foreign actors was conducted for harmful purposes.","ai_generated":true,"unit":"ipie-000089#insight-4","date_modified":"2026-10-23"},{"text":"While predominantly harmful, GenAI has been used constructively in some instances. For example, 38% of use cases by domestic parties and candidates were classified as beneficial, such as using AI chatbots in Japan to engage voters.","ai_generated":true,"unit":"ipie-000089#insight-5","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["India","United States","Romania","Bangladesh","Taiwan","Namibia","Ireland","Solomon Islands","Japan"],"frame_perspective":[],"analysis_type":["global data-driven analysis","pattern mapping"]},{"id":"sei-001530","url":"https://climateinsightsdirectory.org/document/sei-001530","title":"Pursuing more equitable access to urban green spaces","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":"2025-01","source_url":"https://www.sei.org/wp-content/uploads/2024/12/pursuing-more-equitable-access-to-green-spaces.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines how urban green space access is often socially determined by income, gender, and age, particularly in rapidly growing cities in Africa, Asia, and Latin America. It highlights that lower-income communities often prioritize provisioning services—such as food and fuel—over the aesthetic or health-related benefits typically emphasized in high-income contexts. The authors argue that top-down planning frequently fails these populations and can lead to gentrification or social opposition. Using a case study from the Nakuru River area in Kenya, the report identifies systemic barriers to community-led management, including unclear governmental responsibilities, funding shortfalls, and the influence of external NGOs. It concludes that equitable urban greening requires integrating infrastructure improvements and employment opportunities with participatory design that includes women, youth, and people with disabilities.","ai_generated":true,"unit":"sei-001530#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Lower-income populations in urban areas, especially in low- and lower-middle-income countries with rapid growth and informal settlements, frequently have limited access to quality green spaces and their associated benefits.","ai_generated":true,"unit":"sei-001530#insight-1","date_modified":"2026-10-23"},{"text":"The utility of urban green spaces differs by socio-economic status; lower-income neighborhoods have a higher demand for provisioning services such as food, medicine, and wood for energy, whereas high-income areas may prioritize different amenities.","ai_generated":true,"unit":"sei-001530#insight-2","date_modified":"2026-10-23"},{"text":"Access to urban green spaces is often unequal and socially determined by factors including income, race, ethnicity, age, gender, and disability, which constitutes an environmental justice issue with public health implications.","ai_generated":true,"unit":"sei-001530#insight-3","date_modified":"2026-10-23"},{"text":"Top-down urban planning in low- and middle-income countries often neglects the needs of local communities in informal settlements and can lead to 'green gentrification,' which displaces low-income residents.","ai_generated":true,"unit":"sei-001530#insight-4","date_modified":"2026-10-23"},{"text":"Community-led initiatives face significant barriers, including limited financial and institutional capacity of public authorities, tensions between local leaders and external NGOs, and a lack of awareness regarding nature-based solutions for climate risk.","ai_generated":true,"unit":"sei-001530#insight-5","date_modified":"2026-10-23"},{"text":"Insights from the Nakuru River area in Kenya reveal that community-led management is hindered by unclear governmental responsibilities, ethnic tensions, and systemic issues like unemployment and lack of sanitation infrastructure.","ai_generated":true,"unit":"sei-001530#insight-6","date_modified":"2026-10-23"}],"climate_tags":["urban green space","environmental justice","nature-based solutions","informal housing","ecosystem service","urban planning","Flood mitigation"],"geography_discussed":["Kenya","Nakuru","South Africa","Colombia","People's Republic of China","Tanzania","Bangladesh","Ghana","Angola"],"frame_perspective":[],"analysis_type":["literature review","case study","stakeholder interviews"]},{"id":"sei-002215","url":"https://climateinsightsdirectory.org/document/sei-002215","title":"Climate change, migration and justice","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":"2025-01","source_url":"https://www.sei.org/wp-content/uploads/2025/01/climate-migration-justice-pathways-sei2025-008.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"This report by the Stockholm Environment Institute (SEI) examines the complex nexus of climate change, migration, and justice. It argues that climate change acts as a risk multiplier that interacts with socio-economic and political factors rather than being a sole driver of migration. The document identifies eight key challenges—including the oversimplification of the climate-conflict-migration link, the risks of instrumentalizing migration as adaptation, and the impacts of slow-onset events—and proposes interdisciplinary, rights-based solutions. SEI highlights its strengths in analyzing transboundary climate impacts, conducting grounded comparative research to shift power dynamics, and fostering global cooperation for sustainable livelihoods through tools like AidAtlas and Trase.","ai_generated":true,"unit":"sei-002215#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Climate change rarely acts as the sole driver of migration; instead, it interacts with socio-economic, cultural, and political factors, often exacerbating existing pressures on traditional migration drivers.","ai_generated":true,"unit":"sei-002215#insight-1","date_modified":"2026-10-23"},{"text":"Simplistic narratives that directly link climate change to violent conflict can lead to restrictive, securitized policies that criminalize asylum and border entrenchment rather than supporting inclusive adaptation.","ai_generated":true,"unit":"sei-002215#insight-2","date_modified":"2026-10-23"},{"text":"While migration can be a viable adaptation strategy to diversify income and improve resilience, it risks being instrumentalized for economic gain, potentially neglecting protection gaps and social risks for the most vulnerable.","ai_generated":true,"unit":"sei-002215#insight-3","date_modified":"2026-10-23"},{"text":"Immobility is a critical but often overlooked dimension of climate mobility, where systemic inequalities leave the most vulnerable populations unable to move out of harm's way.","ai_generated":true,"unit":"sei-002215#insight-4","date_modified":"2026-10-23"},{"text":"Slow-onset events, such as sea-level rise and desertification, cause profound long-term demographic shifts but receive less policy attention than sudden-onset disasters.","ai_generated":true,"unit":"sei-002215#insight-5","date_modified":"2026-10-23"},{"text":"Inequitable natural resource management and large-scale development projects, such as hydropower dams and biofuel plantations, compound climate risks and increase displacement for marginalized and Indigenous communities.","ai_generated":true,"unit":"sei-002215#insight-6","date_modified":"2026-10-23"},{"text":"Climate-related migration creates intergenerational burdens, where parental migration for income diversification often leaves children and elderly caregivers with increased emotional stress and caregiving responsibilities.","ai_generated":true,"unit":"sei-002215#insight-7","date_modified":"2026-10-23"},{"text":"Current climate mobility projections, such as claims of '1 billion climate refugees by 2050', often lack methodological rigor and are used to justify restrictive border controls.","ai_generated":true,"unit":"sei-002215#insight-8","date_modified":"2026-10-23"},{"text":"There is a significant Global North bias in climate migration research; although studies focus on the Global South, they are predominantly led and funded by Northern institutions, marginalizing Southern scholars and local voices.","ai_generated":true,"unit":"sei-002215#insight-9","date_modified":"2026-10-23"},{"text":"Rapid urbanization in developing countries often leads migrants to informal settlements and slums that lack the infrastructure to withstand climate events like floods and heatwaves.","ai_generated":true,"unit":"sei-002215#insight-10","date_modified":"2026-10-23"}],"climate_tags":["climate justice","climate change adaptation","sea level rise","desertification","natural resource management","urban resilience","informal housing","energy transition","biobased economy"],"geography_discussed":["Africa","Asia","Latin America","Caribbean","Sahel","Afghanistan","Myanmar","Bangladesh","Thailand","Malaysia","Cambodia","Indonesia","Kenya","Honduras","Laos","Vietnam","Nigeria","Guatemala"],"frame_perspective":[],"analysis_type":["policy review","thematic analysis","case study"]},{"id":"clipolin-001059","url":"https://climateinsightsdirectory.org/document/clipolin-001059","title":"Global Landscape of Climate Finance 2025","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2025","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2000/06/compressed_Global-Landscape-of-Climate-Finance-2025.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Global climate finance reached a record USD 1.9 trillion in 2023, with private contributions exceeding USD 1 trillion for the first time. While mitigation finance more than doubled between 2018 and 2023, driven by energy and transport, adaptation finance remains significantly underfunded at USD 65 billion. Investment is heavily concentrated in East Asia and the Pacific, Western Europe, and North America, with 80% of finance sourced domestically. Despite growth, a substantial gap remains to meet the estimated annual need of USD 6.3 trillion by 2030.","ai_generated":true,"unit":"clipolin-001059#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Global climate finance reached an all-time high of USD 1.9 trillion in 2023, with early data suggesting flows surpassed USD 2 trillion for the first time in 2024.","ai_generated":true,"unit":"clipolin-001059#insight-1","date_modified":"2026-10-23"},{"text":"Private climate finance exceeded USD 1 trillion in 2023, a more than 50% increase from 2022, while public climate finance declined by approximately 13% in the same period.","ai_generated":true,"unit":"clipolin-001059#insight-2","date_modified":"2026-10-23"},{"text":"Climate mitigation finance grew from USD 757 billion in 2018 to USD 1.78 trillion in 2023, with over 75% of these funds directed toward energy systems and transport.","ai_generated":true,"unit":"clipolin-001059#insight-3","date_modified":"2026-10-23"},{"text":"Tracked adaptation finance reached USD 65 billion in 2023, though this is likely an underestimate due to data gaps, particularly regarding private flows.","ai_generated":true,"unit":"clipolin-001059#insight-4","date_modified":"2026-10-23"},{"text":"Climate finance is highly concentrated, with 79% of global flows mobilized in East Asia and the Pacific, Western Europe, and the US and Canada between 2018 and 2023.","ai_generated":true,"unit":"clipolin-001059#insight-5","date_modified":"2026-10-23"},{"text":"Domestic capital is the primary driver of climate finance, with 80% of total finance sourced domestically, particularly in China, North America, and Western Europe.","ai_generated":true,"unit":"clipolin-001059#insight-6","date_modified":"2026-10-23"},{"text":"There is a significant investment gap; an average of at least USD 6.3 trillion in annual climate finance is needed from 2024 to 2030 to avoid the worst impacts of climate change.","ai_generated":true,"unit":"clipolin-001059#insight-7","date_modified":"2026-10-23"},{"text":"Debt is the dominant financial instrument for mitigation, particularly in mature markets like energy and transport, while sectors like AFOLU and waste rely more on public and concessional finance.","ai_generated":true,"unit":"clipolin-001059#insight-8","date_modified":"2026-10-23"},{"text":"International climate finance to emerging markets and developing economies (EMDEs) reached USD 196 billion in 2023, with public actors providing 78% of these funds.","ai_generated":true,"unit":"clipolin-001059#insight-9","date_modified":"2026-10-23"}],"climate_tags":["climate finance","climate change mitigation","climate change adaptation","renewable energy","photovoltaics","onshore wind farm","offshore wind power","energy storage","electric vehicle","energy efficiency","waste management","Blended Finance","climate bond","carbon emission trading","Net-zero emissions"],"geography_discussed":["People's Republic of China","Western Europe","United States","Canada","Brazil","India","Bangladesh","Serbia","Iraq","Poland","sub-Saharan Africa","Latin America and the Caribbean","Middle East and North Africa"],"frame_perspective":[],"analysis_type":["trend analysis","gap analysis","sectoral analysis","regional analysis"]},{"id":"iisd-000697","url":"https://climateinsightsdirectory.org/document/iisd-000697","title":"Cómo Está Respondiendo África a las Políticas Arancelarias de EE.UU.","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"research paper","language":"es","date_published":"2025","source_url":"https://www.iisd.org/es/articles/policy-analysis/africa-response-us-tariff-policies","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document assesses the effects of US Executive Order 14257, which introduced a 10% universal tariff and higher country-specific tariffs (11% to 50%) on imports from 190 countries. While mineral-exporting nations like Angola and South Africa may find relief through exemptions for oil and critical minerals, countries like Lesotho and Madagascar face severe economic risks, particularly in the textile sector. The analysis highlights a strategic divide: some nations seek bilateral deals, others aim for self-sufficiency, and a group of African WTO members are coordinating through the 'Friends of the System'. The authors argue that African nations should negotiate collectively under the African Union to protect regional integration and the African Continental Free Trade Area (AfCFTA) as the AGOA program faces expiration on September 30, 2025.","ai_generated":true,"unit":"iisd-000697#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Executive Order 14257, issued on April 2, 2025, established a two-stage tariff system: a 10% universal ad valorem tariff for 190 countries starting April 5, 2025, followed by higher country-specific tariffs ranging from 11% to 50% for 57 countries starting April 9, 2025.","ai_generated":true,"unit":"iisd-000697#insight-1","date_modified":"2026-10-23"},{"text":"Among the 57 countries facing higher tariffs, 20 are African. Lesotho faces the highest increase at 50%, followed by Madagascar (47%), Mauritius (40%), Botswana (37%), Angola (32%), Libya (31%), and Algeria and South Africa (both 30%).","ai_generated":true,"unit":"iisd-000697#insight-2","date_modified":"2026-10-23"},{"text":"Mineral-exporting countries such as Angola, the Democratic Republic of the Congo, Nigeria, South Africa, and Zambia may receive significant relief because the order exempts over 1,000 products, including oil, gold, platinum, and copper.","ai_generated":true,"unit":"iisd-000697#insight-3","date_modified":"2026-10-23"},{"text":"The tariffs pose a critical threat to Lesotho's textile and garment industry, which employs approximately 40,000 local workers, mostly women, and was built on AGOA preferences. South African motor vehicle exports are also vulnerable due to a specific 25% tariff on passenger vehicles.","ai_generated":true,"unit":"iisd-000697#insight-4","date_modified":"2026-10-23"},{"text":"Countries like Egypt and Kenya may gain a competitive advantage in the US textile market because they are only subject to the 10% universal tariff, whereas competitors in Asia—such as Bangladesh, India, and Vietnam—face higher tariffs.","ai_generated":true,"unit":"iisd-000697#insight-5","date_modified":"2026-10-23"},{"text":"African government responses vary: Zimbabwe offered to unilaterally remove tariffs on US imports, Uganda is focusing on national resilience, and Lesotho, Madagascar, and South Africa are pursuing bilateral agreements.","ai_generated":true,"unit":"iisd-000697#insight-6","date_modified":"2026-10-23"},{"text":"The African Growth and Opportunity Act (AGOA) is set to expire on September 30, 2025. Its potential dissolution could severely limit US market access for textile exporters like Lesotho and Madagascar, as AGOA beneficiaries are not exempt from the new US tariffs.","ai_generated":true,"unit":"iisd-000697#insight-7","date_modified":"2026-10-23"},{"text":"The authors recommend that African nations negotiate as a region under the African Union to avoid undermining the African Continental Free Trade Area (AfCFTA) and to leverage regional value chains.","ai_generated":true,"unit":"iisd-000697#insight-8","date_modified":"2026-10-23"}],"climate_tags":["critical minerals","energy security"],"geography_discussed":["Lesotho","Madagascar","Egypt","Kenya","South Africa","Mauritius","Botswana","Angola","Libya","Algeria","Cameroon","Democratic Republic of the Congo","Burkina Faso","Seychelles","Somalia","Nigeria","Zambia","Zimbabwe","Uganda","Cape Verde","The Gambia","Liberia","Sierra Leone","People's Republic of China","Bangladesh","India","Vietnam","Mexico","Canada"],"frame_perspective":[],"analysis_type":["policy analysis","economic impact assessment"]},{"id":"ipie-000012","url":"https://climateinsightsdirectory.org/document/ipie-000012","title":"Generative AI in Electoral Campaigns: Mapping Global Patterns","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"en","date_published":"2025","source_url":"https://www.ipie.info/research/sfp2025-1","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes 215 recorded GenAI incidents across 50 countries during 2024 elections, finding that 80% of these countries experienced such incidents. GenAI was primarily used for synthetic content production, with 69% of cases deemed harmful to electoral integrity. Attribution is a significant challenge, as 46% of sources remained unknown, while political candidates and foreign actors accounted for 25% and 20% of incidents, respectively.","ai_generated":true,"unit":"ipie-000012#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Generative AI was prevalent in 2024 elections, with 80% of countries holding competitive national elections experiencing GenAI incidents. The highest number of recorded incidents occurred in India and the USA, with 30 incidents each.","ai_generated":true,"unit":"ipie-000012#insight-1","date_modified":"2026-10-23"},{"text":"The primary application of GenAI in elections is content production, accounting for 90% of recorded incidents. This includes the creation of audio messages, images, videos, and text used to impersonate figures or spread falsehoods, such as a synthetic video in Bangladesh falsely showing candidate Abdullah Nahid Nigar withdrawing from a race.","ai_generated":true,"unit":"ipie-000012#insight-2","date_modified":"2026-10-23"},{"text":"Attribution of GenAI content is difficult, as the source was unknown in 46% of cases. Among identifiable sources, political candidates and parties were responsible for 25% of incidents, and foreign actors for 20%.","ai_generated":true,"unit":"ipie-000012#insight-3","date_modified":"2026-10-23"},{"text":"The majority of GenAI applications in elections were harmful, with 69% of recorded incidents playing a detrimental role. Notably, 100% of GenAI use attributed to foreign actors served harmful purposes, such as coordinated Russian and Chinese AI-generated voice content in the Solomon Islands election.","ai_generated":true,"unit":"ipie-000012#insight-4","date_modified":"2026-10-23"},{"text":"While predominantly harmful, GenAI has been used constructively by some political actors. Approximately 38% of uses by national political parties and candidates were categorized as beneficial, including the use of GenAI-powered chatbots in Japan to engage voters.","ai_generated":true,"unit":"ipie-000012#insight-5","date_modified":"2026-10-23"},{"text":"GenAI use has had severe institutional impacts in some regions; in Romania, coordinated GenAI deployment contributed to the annulment of presidential election results.","ai_generated":true,"unit":"ipie-000012#insight-6","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["India","United States","Romania","Bangladesh","Taiwan","Namibia","Ireland","Solomon Islands","Japan"],"frame_perspective":[],"analysis_type":["global assessment","incident mapping","policy recommendation"]},{"id":"ipie-000025","url":"https://climateinsightsdirectory.org/document/ipie-000025","title":"The Role of Generative AI Use in 2024 Elections Worldwide","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"research paper","language":"en","date_published":"2025","source_url":"https://www.ipie.info/research/tp2025-2","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The IPIE analyzed GenAI usage across 50 countries with competitive national elections in 2024. Findings show that GenAI was reported in 80% of these countries, primarily for content creation (90% of cases). While 69% of instances served malicious ends, 16% were benevolent. The study highlights a significant challenge in actor identification, with 46% of cases remaining unclear, and notes that foreign actors were involved in 20% of reported incidents, all for nefarious purposes.","ai_generated":true,"unit":"ipie-000025#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"GenAI was utilized in national elections in 80% of the 50 competitive countries tracked in the IPIE database. The countries with the highest number of recorded instances were India and the USA, with 30 occurrences each.","ai_generated":true,"unit":"ipie-000025#insight-1","date_modified":"2026-10-23"},{"text":"Content creation—including audio, images, videos, and text—was the dominant application of GenAI, accounting for 90% of all recorded usage in 2024 elections worldwide.","ai_generated":true,"unit":"ipie-000025#insight-2","date_modified":"2026-10-23"},{"text":"The majority of GenAI applications in elections were malicious, with 69% serving apparently nefarious ends, while 16% were used for benevolent purposes.","ai_generated":true,"unit":"ipie-000025#insight-3","date_modified":"2026-10-23"},{"text":"Identifying the actors behind GenAI usage is difficult; in 46% of the recorded incidents, the identity of the actor remained unclear.","ai_generated":true,"unit":"ipie-000025#insight-4","date_modified":"2026-10-23"},{"text":"Foreign actors were involved in 20% of reported incidents, and all such instances of foreign interference were conducted for nefarious purposes.","ai_generated":true,"unit":"ipie-000025#insight-5","date_modified":"2026-10-23"},{"text":"Hypertargeting—the use of GenAI to direct specific content to particular demographics to tilt political preferences—was the least common application, appearing in only 4% of recorded instances.","ai_generated":true,"unit":"ipie-000025#insight-6","date_modified":"2026-10-23"},{"text":"Political parties and candidates were responsible for 25% of the recorded GenAI usage, with 38% of their applications deemed benevolent.","ai_generated":true,"unit":"ipie-000025#insight-7","date_modified":"2026-10-23"},{"text":"The 'liar's dividend' is a significant risk, where the prevalence of deepfakes allows politicians to dismiss authentic content as being AI-generated.","ai_generated":true,"unit":"ipie-000025#insight-8","date_modified":"2026-10-23"},{"text":"In Romania, a sophisticated and coordinated GenAI campaign was perceived to have significantly influenced the national election, contributing to the annulment of the presidential results.","ai_generated":true,"unit":"ipie-000025#insight-9","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["India","United States","Romania","Indonesia","Bangladesh","Taiwan","Namibia","Ghana","Lithuania","Mexico","Tunisia"],"frame_perspective":[],"analysis_type":["descriptive analysis","cross-case comparison","content analysis"]},{"id":"ipie-000083","url":"https://climateinsightsdirectory.org/document/ipie-000083","title":"L'IA générative dans les campagnes électorales : cartographie des tendances mondiales","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"fr","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0c8b6525d26d8c8c7906_Final%20FR%20Elections%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The report finds that 80% of countries with competitive national elections in 2024 experienced GenAI-related incidents, with 69% of these incidents having a harmful impact. The majority of GenAI use focused on content creation (90%), and nearly half of the incidents (46%) had unknown sources. While some positive uses for civic engagement were noted, the document emphasizes the risks of disinformation and foreign interference, calling for mandatory disclosure standards and improved detection mechanisms.","ai_generated":true,"unit":"ipie-000083#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Generative AI was prevalent in the majority of competitive national elections in 2024, with 80% of the 50 analyzed countries experiencing GenAI-related incidents. India and the United States recorded the highest number of incidents, with 30 each.","ai_generated":true,"unit":"ipie-000083#insight-1","date_modified":"2026-10-23"},{"text":"The primary application of GenAI in elections is the production of synthetic content, including audio, images, videos, and social media posts, which accounted for 90% of recorded incidents. These tools are often integrated into broader influence operations using personalized messaging and targeted distribution.","ai_generated":true,"unit":"ipie-000083#insight-2","date_modified":"2026-10-23"},{"text":"Attributing GenAI content to a specific source is difficult, as 46% of incidents had unknown origins. Among identifiable sources, candidates and political parties were responsible for 25%, foreign actors for 20%, and other groups (such as lobbyists or individuals) for 9%.","ai_generated":true,"unit":"ipie-000083#insight-3","date_modified":"2026-10-23"},{"text":"Most GenAI applications in elections were harmful, with 69% of incidents categorized as having a detrimental role. Notably, 100% of incidents attributed to foreign actors were found to be harmful, such as the coordinated use of AI-generated voice content by Russian and Chinese actors during the Solomon Islands elections.","ai_generated":true,"unit":"ipie-000083#insight-4","date_modified":"2026-10-23"},{"text":"While predominantly harmful, GenAI has been used constructively for civic engagement and accessibility. For example, 38% of uses by national political parties and candidates were beneficial, including the use of AI chatbots in Japan to answer voter questions and encourage turnout.","ai_generated":true,"unit":"ipie-000083#insight-5","date_modified":"2026-10-23"},{"text":"The report highlights specific cases where GenAI significantly impacted electoral outcomes or perceptions, such as in Romania, where coordinated AI manipulation contributed to the annulment of presidential election results, and in Bangladesh, where a deepfake video falsely announced a candidate's withdrawal.","ai_generated":true,"unit":"ipie-000083#insight-6","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["India","United States","Romania","Bangladesh","Taiwan","Namibia","Ireland","Solomon Islands","Japan"],"frame_perspective":[],"analysis_type":["trend analysis","incident mapping","policy assessment"]},{"id":"ipie-000084","url":"https://climateinsightsdirectory.org/document/ipie-000084","title":"IA generativa en campañas electorales: identificación de patrones globales","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"es","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0c9286759bdd611e2a47_Final%20ES%20Elections%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes 215 incidents of generative AI use across 50 countries that held competitive national elections in 2024. It finds that GenAI was present in 80% of these countries, primarily used for creating synthetic content such as deepfake audio and video. A significant majority (69%) of these incidents were categorized as harmful to the electoral process, with 20% attributed to foreign actors, all of whom demonstrated harmful intent. The document emphasizes the challenge of anonymity, as 46% of incidents had unidentifiable authors, and recommends mandatory disclosure norms and improved detection methods to protect democratic integrity.","ai_generated":true,"unit":"ipie-000084#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Generative AI (GenAI) was utilized in the campaign phases of 80% of the countries that held competitive national elections in 2024. India and the United States were particularly prominent, with 30 documented incidents each.","ai_generated":true,"unit":"ipie-000084#insight-1","date_modified":"2026-10-23"},{"text":"The primary application of GenAI in elections is the production of synthetic content, accounting for 90% of recorded incidents. This includes the creation of audio messages, images, videos, and social media posts designed to be realistic and misleading.","ai_generated":true,"unit":"ipie-000084#insight-2","date_modified":"2026-10-23"},{"text":"Attributing the source of GenAI content is difficult, as 46% of incidents have no identifiable author. Among those that could be traced, candidates and political parties were responsible for 25%, foreign operators for 20%, and other groups for 9%.","ai_generated":true,"unit":"ipie-000084#insight-3","date_modified":"2026-10-23"},{"text":"A majority of GenAI applications in electoral contexts are detrimental, with 69% of incidents categorized as harmful. All documented uses by foreign actors were found to have harmful intentions, such as interfering in processes or manipulating voter perception.","ai_generated":true,"unit":"ipie-000084#insight-4","date_modified":"2026-10-23"},{"text":"While predominantly harmful, GenAI has been used constructively by 38% of national political parties and candidates. Examples include the use of chatbots in Japan to interact with voters and the use of GenAI for civic outreach and accessibility (16% of incidents).","ai_generated":true,"unit":"ipie-000084#insight-5","date_modified":"2026-10-23"},{"text":"Specific instances of GenAI-driven electoral interference include the invalidation of presidential election results in Romania due to coordinated manipulation, a deepfake video of a candidate withdrawing in Bangladesh, and a fake audio clip of US President Joe Biden supporting local parties in Namibia.","ai_generated":true,"unit":"ipie-000084#insight-6","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["India","United States","Romania","Bangladesh","Taiwan","Namibia","Ireland","Solomon Islands","Japan"],"frame_perspective":[],"analysis_type":["empirical analysis","global trend analysis","policy review"]},{"id":"ipie-000085","url":"https://climateinsightsdirectory.org/document/ipie-000085","title":"Генеративный ИИ в избирательных кампаниях: составление карты глобальных закономерностей","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"ru","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0c994389c3a190966c3b_Final%20RU%20Elections%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes 215 incidents of GenAI use in 2024 elections across 50 countries, finding that 80% of these countries experienced GenAI-related incidents. The vast majority of use (90%) focused on content creation, and 69% of incidents were classified as harmful. A significant portion of GenAI content (46%) remains unattributed, while 20% is linked to foreign actors, all of whom were found to have harmful intentions. The document advocates for mandatory disclosure and transparency standards to protect electoral processes.","ai_generated":true,"unit":"ipie-000085#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Generative AI was present in the vast majority of competitive national elections in 2024, with 80% of the 50 studied countries recording incidents. The highest volume of incidents occurred in India and the United States, with 30 incidents each.","ai_generated":true,"unit":"ipie-000085#insight-1","date_modified":"2026-10-23"},{"text":"The primary application of GenAI in elections is the production of synthetic content, accounting for 90% of recorded incidents. This includes the creation of audio messages, images, videos, and social media posts, often used to fabricate statements or impersonate figures.","ai_generated":true,"unit":"ipie-000085#insight-2","date_modified":"2026-10-23"},{"text":"Attribution of GenAI content is frequently impossible, with 46% of incidents having an unknown source. Among known sources, political candidates and parties were responsible for 25%, while foreign actors accounted for 20%.","ai_generated":true,"unit":"ipie-000085#insight-3","date_modified":"2026-10-23"},{"text":"Most GenAI applications in the studied elections were harmful, with 69% of incidents classified as having a negative role. Notably, 100% of GenAI use attributed to foreign actors was intended to be harmful.","ai_generated":true,"unit":"ipie-000085#insight-4","date_modified":"2026-10-23"},{"text":"While predominantly harmful, GenAI has been used constructively by some political parties (38% of their cases were 'useful'), such as using chatbots in Japan to engage voters or creating content in local dialects to reach underserved populations.","ai_generated":true,"unit":"ipie-000085#insight-5","date_modified":"2026-10-23"},{"text":"The report highlights specific high-impact cases, such as in Romania, where coordinated GenAI and information campaigns contributed to the annulment of presidential election results.","ai_generated":true,"unit":"ipie-000085#insight-6","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["India","United States","Romania","Bangladesh","Taiwan","Namibia","Ireland","Solomon Islands","Japan"],"frame_perspective":[],"analysis_type":["incident analysis","global trend mapping","policy recommendation"]},{"id":"ipie-000087","url":"https://climateinsightsdirectory.org/document/ipie-000087","title":"Generative KI in Wahlkampagnen: Kartierung globaler Muster","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"de","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0ca6fcede156eee4ac8e_Final%20DE%20Elections%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes 215 incidents of GenAI use in 2024 elections, finding that 80% of countries with competitive elections experienced such incidents. The majority of these cases involved content creation (90%) and were deemed harmful to the electoral process (69%). A significant portion of the sources remain unknown (46%), while political candidates (25%) and foreign actors (20%) are the primary identified sources. The document recommends transparency standards and disclosure requirements to protect electoral integrity.","ai_generated":true,"unit":"ipie-000087#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Generative AI was utilized in 80% of the countries that held competitive national elections in 2024. The highest number of recorded incidents occurred in India and the United States, with 30 cases each.","ai_generated":true,"unit":"ipie-000087#insight-1","date_modified":"2026-10-23"},{"text":"The primary application of GenAI in elections is content creation, accounting for 90% of reported incidents. This includes the production of audio messages, images, videos, and social media posts.","ai_generated":true,"unit":"ipie-000087#insight-2","date_modified":"2026-10-23"},{"text":"Attributing the source of GenAI content is difficult, as the origin was unknown in 46% of cases. Among identified sources, political candidates and parties accounted for 25%, and foreign actors accounted for 20%.","ai_generated":true,"unit":"ipie-000087#insight-3","date_modified":"2026-10-23"},{"text":"The majority of GenAI applications in elections are detrimental, with 69% of recorded incidents classified as harmful. Notably, 100% of the GenAI use attributed to foreign actors served harmful purposes.","ai_generated":true,"unit":"ipie-000087#insight-4","date_modified":"2026-10-23"},{"text":"While largely harmful, GenAI has been used constructively by some political actors. In Japan, candidates used GenAI-powered chatbots to engage with voters, and 38% of reported uses by national political parties and candidates were classified as useful.","ai_generated":true,"unit":"ipie-000087#insight-5","date_modified":"2026-10-23"},{"text":"Specific examples of harmful GenAI use include a deepfake video in Bangladesh falsely announcing a candidate's withdrawal, a manipulated video in Taiwan targeting a presidential candidate, and cloned audio of US President Joe Biden in Namibia to support local parties.","ai_generated":true,"unit":"ipie-000087#insight-6","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["India","United States","Romania","Bangladesh","Taiwan","Namibia","Ireland","Solomon Islands","Japan"],"frame_perspective":[],"analysis_type":["data-driven analysis","mapping of global patterns"]}]}