{"query_echo":{"q":"","filters":{"geography":["Namibia"]},"warnings":[]},"total":{"value":904,"relation":"eq"},"page":6,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=Namibia&page=6","next":"https://climateinsightsdirectory.org/api/v1/search?geography=Namibia&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":"climstra-000336","url":"https://climateinsightsdirectory.org/document/climstra-000336","title":"Just Transition Planning Masterclass","publisher":{"name":"Climate Strategies","organization":"climate-strategies"},"document_type":"after-action report","language":"en","date_published":"2025","source_url":"https://climatestrategies.org/wp-content/uploads/2025/10/Just-Transition-Planning-Masterclass-Series-for-NbS-Practitioners_Summary.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Just Transition Planning Masterclass provided practitioners from Ethiopia, Kenya, Rwanda, Tanzania, Mozambique, Malawi, Zambia, and Namibia with frameworks to ensure nature-based solutions (NbS) are equitable. The program highlighted that while NbS are often seen as 'win-win', they can cause socio-economic disruptions, such as loss of employment in extractive industries or displacement of communities without formal land tenure. Participants explored the Climate Investment Fund’s Just Transition Planning Toolbox and identified strategies to mitigate negative impacts, including livelihood diversification, re-skilling, and social protection measures. The report also notes barriers to implementation, such as limited institutional capacity, financial constraints, and community mistrust.","ai_generated":true,"unit":"climstra-000336#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Nature-based solutions (NbS) can cause significant socio-economic disruptions, particularly for those whose livelihoods depend on unsustainable practices, and risk reinforcing existing inequalities if justice is not centered.","ai_generated":true,"unit":"climstra-000336#insight-1","date_modified":"2026-10-23"},{"text":"Standard environmental and social safeguards are often insufficient for just transition planning because they focus on narrow project risks and fail to assess indirect social or economic impacts, distributional impacts, or benefit sharing.","ai_generated":true,"unit":"climstra-000336#insight-2","date_modified":"2026-10-23"},{"text":"Potential negative impacts of NbS include the loss of employment in extractive industries, loss of access to resources like charcoal or subsistence hunting, displacement of communities without formal land tenure, and increased human-wildlife conflict.","ai_generated":true,"unit":"climstra-000336#insight-3","date_modified":"2026-10-23"},{"text":"To manage negative impacts, practitioners can invest in livelihood diversification, provide re-skilling for affected workers, create social protection measures, and use traditional knowledge to reduce conflicts.","ai_generated":true,"unit":"climstra-000336#insight-4","date_modified":"2026-10-23"},{"text":"Implementation of just transition frameworks in NbS faces several barriers, including financial trade-offs, limited institutional capacity for multi-stakeholder coordination, lack of data, and community mistrust stemming from past experiences.","ai_generated":true,"unit":"climstra-000336#insight-5","date_modified":"2026-10-23"},{"text":"A just transition approach offers opportunities to reduce structural inequalities, such as gender gaps, by using NbS-generated income for education and leadership training rather than just addressing symptoms.","ai_generated":true,"unit":"climstra-000336#insight-6","date_modified":"2026-10-23"}],"climate_tags":["nature-based solutions","just transition","climate change adaptation","greenhouse gas emissions","reforestation","climate finance","Environmental and Social Safeguards","land tenure","biodiversity"],"geography_discussed":["Addis Ababa","Western Australia"],"frame_perspective":[],"analysis_type":["after-action report"]},{"id":"climstra-000430","url":"https://climateinsightsdirectory.org/document/climstra-000430","title":"2025 Policy Dialogue on Just Energy Transitions: Pathways to Prosperity Post Fossil Fuels (PPFF)","publisher":{"name":"Climate Strategies","organization":"climate-strategies"},"document_type":"report","language":"en","date_published":"2025","source_url":"https://climatestrategies.org/wp-content/uploads/2025/09/SG_JET_Report_FINAL.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 2025 Policy Dialogue on Just Energy Transitions highlights that the peak in global oil and gas demand is being accelerated by low-carbon technology rather than climate policy. It argues that producer countries must implement structural economic transformations, fiscal reforms, and new collaborative governance models with importers to ensure a just and orderly transition. The report emphasizes the role of regionally led economic modelling and the need to overcome financial bottlenecks to avoid stranded assets and fiscal contraction.","ai_generated":true,"unit":"climstra-000430#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The forecasted peak in global oil and gas demand is primarily driven by the affordability and efficiency of low-carbon technologies, which are replacing the largest uses of these fuels, rather than by new climate policies.","ai_generated":true,"unit":"climstra-000430#insight-1","date_modified":"2026-10-23"},{"text":"Producer countries face significant fiscal risks, including revenue loss, debt cycles, and stranded assets, necessitating fiscal and legal reforms to improve revenue management and attract private finance.","ai_generated":true,"unit":"climstra-000430#insight-2","date_modified":"2026-10-23"},{"text":"Economic diversification for oil and gas exporters requires a structural transformation based on empirical analysis to avoid costly, ineffective projects, with opportunities in green energy supply chains like green hydrogen and critical minerals.","ai_generated":true,"unit":"climstra-000430#insight-3","date_modified":"2026-10-23"},{"text":"New multilateral governance models and importer-exporter collaborations are essential to align interests, manage demand decline, and facilitate technology transfer and financing.","ai_generated":true,"unit":"climstra-000430#insight-4","date_modified":"2026-10-23"},{"text":"Regionally led economic modelling is a critical tool for governments to create realistic transition scenarios, optimize energy mixes, and identify viable entry points into new supply chains.","ai_generated":true,"unit":"climstra-000430#insight-5","date_modified":"2026-10-23"},{"text":"The transition to renewable energy will shift geopolitical dynamics, potentially reducing energy trade due to the localized nature of renewables while creating new dependencies through critical mineral and clean molecule supply chains.","ai_generated":true,"unit":"climstra-000430#insight-6","date_modified":"2026-10-23"}],"climate_tags":["petroleum industry","just transition","economic diversity","climate finance","green hydrogen","critical minerals","energy security","geopolitics","biobased economy"],"geography_discussed":["Austria","European Union","People's Republic of China","Canada","Nigeria","Trinidad and Tobago","South Africa","Malaysia","Namibia","Dubai","Saudi Arabia","Brazil"],"frame_perspective":[],"analysis_type":["policy analysis","economic 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"]},{"id":"ipie-000088","url":"https://climateinsightsdirectory.org/document/ipie-000088","title":"選挙キャンペーンにおける 成AI： 国際的パターンのマッピング 政策立案者向けサマリー 2025.1","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"ja","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0cad92d810a0f2eb7909_Final%20JP%20Elections%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","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 being harmful. Most incidents involved content creation, such as deepfakes, and nearly half had unknown sources. While some candidates used GenAI for positive voter outreach, the majority of use—especially by foreign actors—was deceptive or malicious.","ai_generated":true,"unit":"ipie-000088#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Generative AI (GenAI) was present in the vast majority of competitive national elections in 2024, with 80% of the 50 countries studied experiencing GenAI-related incidents. The highest number of recorded incidents occurred in India and the United States, with 30 cases each.","ai_generated":true,"unit":"ipie-000088#insight-1","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["India","United States","Bangladesh","Namibia"],"frame_perspective":[],"analysis_type":["empirical analysis","incident mapping","policy review"]},{"id":"ipie-000090","url":"https://climateinsightsdirectory.org/document/ipie-000090","title":"IA generativa em campanhas eleitorais: mapeamento de padrões globais","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"policy brief","language":"pt","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0cbc67ee8b8ecfd81f08_Final%20PTB%20Elections%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed"],"summary":{"text":"The report finds that GenAI was present in 80% of competitive national elections in 2024, primarily used for creating synthetic content like deepfakes. While some beneficial uses for civic outreach were noted, 69% of incidents were categorized as harmful. A significant portion of GenAI content (46%) remains unattributable to a known source, complicating electoral governance and transparency.","ai_generated":true,"unit":"ipie-000090#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 analyzed countries experiencing GenAI use during campaign periods. The highest volume of incidents occurred in India and the United States, with 30 incidents recorded in each.","ai_generated":true,"unit":"ipie-000090#insight-1","date_modified":"2026-10-23"},{"text":"The primary application of GenAI in elections is content creation, accounting for 90% of recorded incidents. This includes the production of synthetic audio, images, videos, and social media posts, often used to impersonate public figures or manipulate narratives.","ai_generated":true,"unit":"ipie-000090#insight-2","date_modified":"2026-10-23"},{"text":"Attributing the source of GenAI content is a major challenge, as 46% of incidents have no known source. Among identified sources, candidates and political parties accounted for 25%, while foreign actors were responsible for 20%.","ai_generated":true,"unit":"ipie-000090#insight-3","date_modified":"2026-10-23"},{"text":"Most GenAI applications in elections are detrimental, with 69% of incidents categorized as harmful. Notably, 100% of GenAI use attributed to foreign agents served harmful purposes, such as interfering in electoral processes.","ai_generated":true,"unit":"ipie-000090#insight-4","date_modified":"2026-10-23"},{"text":"There are limited but documented beneficial uses of GenAI, particularly by national candidates and parties, where 38% of their uses were categorized as beneficial. Examples include using chatbots in Japan to engage voters and using GenAI for civic outreach and accessibility (16% of incidents).","ai_generated":true,"unit":"ipie-000090#insight-5","date_modified":"2026-10-23"},{"text":"The report highlights specific high-impact cases, such as in Romania, where coordinated GenAI use contributed to the annulment of presidential election results, and in Bangladesh, where a synthetic video falsely announced a candidate's withdrawal.","ai_generated":true,"unit":"ipie-000090#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":[]},{"id":"ipie-000091","url":"https://climateinsightsdirectory.org/document/ipie-000091","title":"Uzalishaji wa AI katika Kampeni za Uchaguzi: Kuchora Miundo ya Ulimwenguni","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"sw","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0cc4817fd01ff7f2b539_Final%20SW%20Elections%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document analyzes the role of Generative AI in 2024 national elections across 50 countries. It finds that 80% of these countries experienced GenAI incidents, with 90% of those cases involving content creation such as audio, images, and video. A significant portion of these incidents (69%) were classified as harmful to electoral integrity, and nearly half (46%) originated from unknown sources. The report highlights specific examples of misuse in countries like Romania, Bangladesh, and Taiwan, while noting some beneficial uses in Japan. It concludes by recommending mandatory disclosure standards and increased transparency to protect democratic processes.","ai_generated":true,"unit":"ipie-000091#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 recording GenAI incidents. The highest volume of incidents occurred in India and the United States, with 30 cases recorded in each.","ai_generated":true,"unit":"ipie-000091#insight-1","date_modified":"2026-10-23"},{"text":"The primary application of GenAI in these contexts is content generation, accounting for 90% of recorded incidents. This includes the creation of synthetic audio, images, videos, and social media posts used for both authentic and misleading communication.","ai_generated":true,"unit":"ipie-000091#insight-2","date_modified":"2026-10-23"},{"text":"A large proportion of GenAI content sources are anonymous, with 46% of cases having no identifiable source. Among identified sources, political candidates and parties accounted for 25%, while foreign actors accounted for 20%.","ai_generated":true,"unit":"ipie-000091#insight-3","date_modified":"2026-10-23"},{"text":"Most GenAI applications in elections were deemed harmful, with 69% of incidents described as playing a negative role in the electoral process. Notably, 100% of reported GenAI use by foreign actors was classified as having harmful objectives.","ai_generated":true,"unit":"ipie-000091#insight-4","date_modified":"2026-10-23"},{"text":"GenAI has been used to disrupt specific national elections, such as in Romania, where coordinated AI efforts contributed to the annulment of presidential election results. Other examples include deepfake videos in Bangladesh and Taiwan, and fake audio of US President Joe Biden in Namibia.","ai_generated":true,"unit":"ipie-000091#insight-5","date_modified":"2026-10-23"},{"text":"While predominantly harmful, GenAI also had constructive applications; 38% of reported use by national political parties and candidates was classified as beneficial. For example, candidates in Japan used GenAI chatbots to engage voters and answer basic questions.","ai_generated":true,"unit":"ipie-000091#insight-6","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["India","United States","Romania","Bangladesh","Taiwan","Namibia","Solomon Islands","Japan","Switzerland"],"frame_perspective":[],"analysis_type":["data-driven analysis","global assessment","policy recommendation"]},{"id":"napglob-000301","url":"https://climateinsightsdirectory.org/document/napglob-000301","title":"Progress and Learning Report 2024","publisher":{"name":"NAP Global Network","organization":"nap-global-network"},"document_type":"report","language":"en","date_published":"2025","source_url":"https://napglobalnetwork.org/wp-content/uploads/2025/04/napgn-en-2025-nap-gn-progress-learning-report-2024.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The NAP Global Network's 2024 report details its progress in supporting developing countries with National Adaptation Plan (NAP) processes through technical assistance, South-South peer learning, and knowledge production. The Network has supported 70 countries to date, with over 60% of technical assistance directed toward Least Developed Countries (LDCs) and Small Island Developing States (SIDS). Key 2024 achievements include the launch of a new peer learning strategy, the publication of over 180 knowledge products, and the implementation of a monitoring, evaluation, and learning (MEL) framework. The report highlights specific 'stories of change' in countries like Costa Rica, Rwanda, and Côte d’Ivoire, demonstrating the transition from planning to implementation and the integration of gender and social inclusion.","ai_generated":true,"unit":"napglob-000301#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The NAP Global Network has achieved significant reach over its first decade, providing technical assistance to 70 countries and facilitating peer learning for 80 developing countries. More than 60% of its technical assistance has been targeted at least developed countries (LDCs) and Small Island Developing States (SIDS).","ai_generated":true,"unit":"napglob-000301#insight-1","date_modified":"2026-10-23"},{"text":"The Network has largely exceeded its 2025 strategic targets in several areas: it has supported 30 new countries with technical assistance since June 2020, assisted 17 countries in transitioning from planning to implementation, and published over 180 knowledge products.","ai_generated":true,"unit":"napglob-000301#insight-2","date_modified":"2026-10-23"},{"text":"In 2024, the Network expanded its peer learning model to include regional cohorts and its first 1:1 peer learning partnership, such as the collaboration between Namibia and Zambia focused on the transition from planning to implementation.","ai_generated":true,"unit":"napglob-000301#insight-3","date_modified":"2026-10-23"},{"text":"Technical support mechanisms in 2024 included the short-term Country Support Hub (CSH), which completed 125 requests all-time, and long-term In-Country NAP Support Programs (ICPs), with 12 active programs in 2024.","ai_generated":true,"unit":"napglob-000301#insight-4","date_modified":"2026-10-23"},{"text":"The Network's knowledge products have a high rate of adoption; 53% of multi-sector NAPs submitted to the UNFCCC as of December 2024 mention the NAP Global Network or its Secretariat (IISD), and 39% cite at least one of its knowledge products.","ai_generated":true,"unit":"napglob-000301#insight-5","date_modified":"2026-10-23"},{"text":"Case studies demonstrate tangible impacts of the Network's support: Costa Rica secured USD 3.5 million for water reservoirs after a successful pilot, and Rwanda attracted USD 29 million from the Climate Investment Funds for the Resilient Landscapes and Communities in Kaduha-Gitwe Corridor project following the operationalization of a MEL system.","ai_generated":true,"unit":"napglob-000301#insight-6","date_modified":"2026-10-23"},{"text":"The Network identified several key thematic lessons in 2024, including the need for dedicated communication strategies to engage finance and sector ministries, and the utility of the NAP Costing Tool (developed with Fiji) to help countries estimate implementation costs and mobilize finance.","ai_generated":true,"unit":"napglob-000301#insight-7","date_modified":"2026-10-23"}],"climate_tags":["national adaptation plan","climate change adaptation","South–South cooperation","climate finance","nature-based solutions","ecosystem-based adaptation","Nationally Determined Contributions","Private sector engagement","Climate risk assessment"],"geography_discussed":["Liberia","Philippines","Zimbabwe","Belize","Maldives","Honduras","Vietnam","Namibia","Zambia","Grenada","Costa Rica","Rwanda","Ivory Coast","Dominican Republic","Albania","Suriname","Pakistan","Nigeria","Fiji"],"frame_perspective":[],"analysis_type":["progress report","impact assessment","case study"]},{"id":"wwf-000325","url":"https://climateinsightsdirectory.org/document/wwf-000325","title":"climate change & human-wildlife conflict an analysis of climate crowd data","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"report","language":"en","date_published":"2025","source_url":"https://www.worldwildlife.org/documents/463/2i9pn6b82s_Climate_Crowd_Climate_Change_and_HWC_Final.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report uses data from 3,911 interviews across over 40 countries to demonstrate that climate-driven resource scarcity pushes both humans and wildlife into closer contact, escalating conflict. Key findings show that 25% of interviews mention increased human-wildlife conflict, often linked to reduced crop yields and water availability. Human responses, such as encroaching into protected areas for resources, and wildlife responses, such as expanding ranges to find food, drive these interactions. The report highlights specific high-conflict countries including Gabon and Namibia and suggests community-driven solutions like nature-friendly fences and rainwater harvesting.","ai_generated":true,"unit":"wwf-000325#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Analysis of 3,911 key-informant interviews from over 40 countries reveals that 25% of all interviews mention increased instances of human-wildlife conflict in conjunction with other climate change impacts.","ai_generated":true,"unit":"wwf-000325#insight-1","date_modified":"2026-10-23"},{"text":"Climate stressors significantly impact rural livelihoods, with 76% of the analyzed subset reporting reduced crop yields and 72% reporting decreased water availability, often due to drought, heat waves, and flooding.","ai_generated":true,"unit":"wwf-000325#insight-2","date_modified":"2026-10-23"},{"text":"Human adaptation strategies to climate change are increasing habitat encroachment; 35% of respondents reported increased encroachment into wildlife areas and 17% specifically into protected areas to seek declining natural resources.","ai_generated":true,"unit":"wwf-000325#insight-3","date_modified":"2026-10-23"},{"text":"Wildlife is responding to climate-driven resource scarcity by shifting their ranges, with 25% of respondents noticing wildlife venturing into areas where they were previously not seen, leading to a 36% increase in reported crop raiding.","ai_generated":true,"unit":"wwf-000325#insight-4","date_modified":"2026-10-23"},{"text":"The report identifies specific countries with high rates of reported human-wildlife conflict among the interviewed populations, with Gabon (69%), Namibia (67%), and the DRC (50%) showing the highest percentages.","ai_generated":true,"unit":"wwf-000325#insight-5","date_modified":"2026-10-23"},{"text":"Community responses to conflict vary from non-lethal infrastructure to lethal measures; 8% of respondents reported driving wildlife away or building fences and trenches, while 5% reported killing problematic species or retaliatory killing.","ai_generated":true,"unit":"wwf-000325#insight-6","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","biodiversity","drought","nature-based solutions"],"geography_discussed":["Gabon","Namibia","Democratic Republic of the Congo","Bhutan","Kenya","Uganda","Tanzania"],"frame_perspective":[],"analysis_type":["qualitative analysis","social science research"]},{"id":"wwf-000433","url":"https://climateinsightsdirectory.org/document/wwf-000433","title":"SAFEGUARDING THREATENED SPECIES Progress Report—2025","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"report","language":"en","date_published":"2025","source_url":"https://www.worldwildlife.org/documents/1088/3te0f9g2tu_WWF_Legacy_Report_2025_P4.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 2025 Progress Report details WWF's global initiatives to safeguard threatened species. Key achievements include the establishment of pangolin monitoring in southern Africa, the launch of the Elly Allies Initiative for Asian elephants, and the development of Shellbank, a DNA-based toolkit for sea turtle traceability. The report also highlights a 74% increase in wild tiger populations since 2010 and the formation of the Tribal Buffalo Lifeways Collaboration to restore bison to Native lands in the Great Plains.","ai_generated":true,"unit":"wwf-000433#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"WWF and the Pangolin Conservation & Research Foundation established new long-term monitoring areas for pangolins in Angola, Botswana, and Namibia, including a solar-powered research base camp in Namibia's Nyae Nyae Conservancy. In Namibia, over 100 conservation officers were trained in rescue and rehabilitation best practices.","ai_generated":true,"unit":"wwf-000433#insight-1","date_modified":"2026-10-23"},{"text":"To protect Asian elephants, WWF created the first handbook for reducing road and railway collisions and launched the Elly Allies Initiative to restore habitats and promote human-elephant coexistence in China and Southeast Asia, aiming for stable populations by 2030.","ai_generated":true,"unit":"wwf-000433#insight-2","date_modified":"2026-10-23"},{"text":"Wild tiger populations have increased by an estimated 74% since 2010. Thailand is the first Southeast Asian country to increase its wild tiger population, with a new estimate of 179–223 tigers. In April 2024, the Sustainable Finance for Tiger Landscapes Conference was convened in Bhutan to help mobilize $1 billion for conservation over ten years.","ai_generated":true,"unit":"wwf-000433#insight-3","date_modified":"2026-10-23"},{"text":"Conservation efforts for other big cats include a nearly 40% increase in Bhutan's snow leopard population since 2016. For jaguars, which have approximately 65,000 individuals remaining in the wild, WWF is mapping habitat connectivity and reducing killings in Belize, Guatemala, Mexico, Argentina, Bolivia, Brazil, Paraguay, and Peru.","ai_generated":true,"unit":"wwf-000433#insight-4","date_modified":"2026-10-23"},{"text":"WWF developed Shellbank, the first DNA-based toolkit for tracking sea turtles, to identify the origins of bycaught or confiscated turtles. The goal is for more than 15 countries to implement this system by 2030.","ai_generated":true,"unit":"wwf-000433#insight-5","date_modified":"2026-10-23"},{"text":"In June 2024, WWF became a founding party of the Tribal Buffalo Lifeways Collaboration (TBLC), an alliance dedicated to expanding Tribal-led bison restoration and returning bison to Tribal lands in the Great Plains.","ai_generated":true,"unit":"wwf-000433#insight-6","date_modified":"2026-10-23"}],"climate_tags":["biodiversity conservation"],"geography_discussed":["Angola","Botswana","Namibia","People's Republic of China","Thailand","Bhutan","Belize","Guatemala","Mexico","Argentina","Bolivia","Brazil","Paraguay","Peru","Great Plains"],"frame_perspective":[],"analysis_type":["progress report"]},{"id":"wwfza-000131","url":"https://climateinsightsdirectory.org/document/wwfza-000131","title":"WWF-SASSI RETAILER/SUPPLIER PARTICIPATION SCHEME REPORT 2024","publisher":{"name":"WWF South Africa","organization":"wwf-south-africa"},"document_type":"report","language":"en","date_published":"2025","source_url":"https://wwfafrica.awsassets.panda.org/downloads/wwf-sassi-participants-report-2024.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 2024 WWF-SASSI report highlights the progress of South African seafood retailers in meeting sustainability commitments, noting that while some achieve high compliance (e.g., Woolworths at 93% by species), others lag. It identifies a growing consumer market, with seafood consumption rising to 16.7 million people by 2025, and emphasizes the necessity of a collective industry approach and Fisheries Improvement Projects (FIPs) to secure marine ecosystems.","ai_generated":true,"unit":"wwfza-000131#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Retailer sustainability performance varies significantly by participant; for 2024, Woolworths reported the highest species-based compliance at 93%, while Shoprite Holdings Group reported the lowest at 19%.","ai_generated":true,"unit":"wwfza-000131#insight-1","date_modified":"2026-10-23"},{"text":"Seafood consumption in South Africa is increasing rapidly, growing from 13.9 million people in 2022 to 16.7 million in 2025, with the national market valued at R57.7bn ($3.13bn) in 2024.","ai_generated":true,"unit":"wwfza-000131#insight-2","date_modified":"2026-10-23"},{"text":"Consumer awareness of seafood sustainability is rising, with 65% of consumers actively seeking sustainable options in 2025, up from 59% in 2022. However, 83% of consumers believe the primary responsibility for ensuring ocean-friendly seafood lies with the retailers.","ai_generated":true,"unit":"wwfza-000131#insight-3","date_modified":"2026-10-23"},{"text":"The seafood market faces systemic pressures, including the influx of unrated Russian species (such as pollock and sardine) resulting from EU sanctions on Russia following the Russia-Ukraine conflict.","ai_generated":true,"unit":"wwfza-000131#insight-4","date_modified":"2026-10-23"},{"text":"Fisheries Improvement Projects (FIPs) are used as roadmaps to transition fisheries to sustainable models; successful outcomes include the MSC certification of the South African hake trawl and the tuna pole-and-line fishery in August 2024.","ai_generated":true,"unit":"wwfza-000131#insight-5","date_modified":"2026-10-23"},{"text":"WWF-SASSI is implementing a three-phase strategic plan to transform the market by 2025, moving from individual brand standards to improved traceability and the eventual establishment of a formalised collective structure for co-investing in fisheries improvements.","ai_generated":true,"unit":"wwfza-000131#insight-6","date_modified":"2026-10-23"}],"climate_tags":["aquaculture"],"geography_discussed":["World","Namibia","Russia"],"frame_perspective":[],"analysis_type":["performance tracking","consumer survey","policy assessment"]},{"id":"gem-000014","url":"https://climateinsightsdirectory.org/document/gem-000014","title":"Why India's \"build now, decarbonize later\" approach to achieving net zero in the steel industry will fail","publisher":{"name":"Global Energy Monitor","organization":"global-energy-monitor"},"document_type":"research paper","language":"en","date_published":"2024-12-29","source_url":"https://globalenergymonitor.org/research/why-indias-build-now-decarbonize-later-approach-achieving-net-zero-steel-industry-will","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"India is pursuing a \"build now, decarbonize later\" strategy in its steel industry, focusing on expanding capacity through emissions-intensive blast furnace-basic oxygen furnace (BF-BOF) routes. This approach risks creating stranded assets valued between US$124\u0010187 billion and locking in high emissions due to a young fleet of blast furnaces. While the government has introduced roadmaps for green steel and energy efficiency, the document argues that deep decarbonization requires a fundamental shift away from coal toward green hydrogen-based direct reduced iron (DRI) and increased scrap-based secondary production.","ai_generated":true,"unit":"gem-000014#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"India's steel industry is characterized by a high reliance on coal, with over 87% of operating ironmaking capacity and 90% of capacity under development dependent on coal. This results in a global-high average emissions intensity of 2.55 tonnes of CO2 per tonne of crude steel (tCO2/tcs), which is 38% higher than the global average of 1.85 tCO2/tcs.","ai_generated":true,"unit":"gem-000014#insight-1","date_modified":"2026-10-23"},{"text":"The \"build now, decarbonize later\" approach, driven by the National Steel Policy's goal to increase crude steel capacity to 300 mtpa by 2030, creates a stranded asset risk estimated between US$124 billion and US$187 billion from new BF-BOF capacity.","ai_generated":true,"unit":"gem-000014#insight-2","date_modified":"2026-10-23"},{"text":"Decarbonization is hindered by a relatively young fleet of blast furnaces, with 72% of operating capacity developed in the last two decades, increasing the risk of fossil lock-in as these units are still recovering investment costs.","ai_generated":true,"unit":"gem-000014#insight-3","date_modified":"2026-10-23"},{"text":"India's direct reduced iron (DRI) production is uniquely dependent on coal-based rotary kilns, which account for approximately 80% of its DRI production. Transitioning these to green hydrogen is challenging due to high production costs and a lack of existing ecosystems, making green hydrogen unlikely to be the primary fuel before 2050.","ai_generated":true,"unit":"gem-000014#insight-4","date_modified":"2026-10-23"},{"text":"Secondary steel production via electric arc furnaces (EAF) and induction furnaces (IF) is limited by low scrap availability, with scrap constituting only 21% of total steel production. Demand for scrap is projected to reach 70\u001080 million tonnes by 2030.","ai_generated":true,"unit":"gem-000014#insight-5","date_modified":"2026-10-23"},{"text":"While energy efficiency measures like the Perform, Achieve and Trade (PAT) scheme have reduced emissions intensity from 3.1 tCO2/tcs in 2005 to 2.55 tCO2/tcs by 2022, further reductions from efficiency alone will be marginal.","ai_generated":true,"unit":"gem-000014#insight-6","date_modified":"2026-10-23"}],"climate_tags":["iron and steel industry","decarbonization","green hydrogen","Carbon lock-in","stranded asset","energy efficiency","renewable energy","carbon neutrality"],"geography_discussed":["People's Republic of China","Japan","Mozambique","Australia","Namibia"],"frame_perspective":[],"analysis_type":["policy analysis","risk assessment"]},{"id":"client-000477","url":"https://climateinsightsdirectory.org/document/client-000477","title":"Understanding Strategic Projects Under the CRMA: A Guide to Rights and Processes","publisher":{"name":"ClientEarth","organization":"clientearth"},"document_type":"guide","language":"en","date_published":"2024-12","source_url":"https://www.clientearth.org/media/laclbcxq/digital-community-guidelines-for-strategic-projects.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document provides a detailed analysis of the Critical Raw Materials Act (CRMA), which aims to secure the EU's supply of 17 strategic raw materials by 2030. It highlights the risks of fast-tracked permitting for 'Strategic Projects', the potential for 'greenwashing' through private certification schemes, and the challenges facing Indigenous Peoples and local communities in exercising their rights to participation and consent. The guide also examines the interaction between the CRMA and existing EU environmental directives, such as the Habitats and Birds Directives, and outlines the limited access to justice available to stakeholders.","ai_generated":true,"unit":"client-000477#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The CRMA establishes four benchmarks for 2030 to reduce EU dependency on raw materials: 10% of extraction must be domestic, 40% of processing must occur within the EU, 25% must come from recycling, and no more than 65% of any strategic metal should come from a single third country.","ai_generated":true,"unit":"client-000477#insight-1","date_modified":"2026-10-23"},{"text":"Projects designated as 'Strategic' benefit from expedited permitting timelines: extraction projects are limited to 27 months and processing or recycling projects to 15 months, though these do not include the time needed for environmental impact assessment reports.","ai_generated":true,"unit":"client-000477#insight-2","date_modified":"2026-10-23"},{"text":"The CRMA allows Strategic Projects to be classified as serving the 'public interest or serving public health and safety', which may facilitate derogations from nature protection laws if specific conditions under the Habitats, Birds, and Water Framework Directives are met.","ai_generated":true,"unit":"client-000477#insight-3","date_modified":"2026-10-23"},{"text":"There is a significant risk that the EU's reliance on private certification schemes to prove 'sustainability' acts as a substitute for comprehensive assessments, potentially masking human rights and environmental abuses.","ai_generated":true,"unit":"client-000477#insight-4","date_modified":"2026-10-23"},{"text":"For projects in third countries, the CRMA relies on the OECD Due Diligence Guidance for Meaningful Stakeholder Engagement, but these guidelines are not legally enforceable in national courts and often lack effective redress mechanisms.","ai_generated":true,"unit":"client-000477#insight-5","date_modified":"2026-10-23"},{"text":"While the CRMA references the UN Declaration on the Rights of Indigenous Peoples (UNDRIP), it does not mention the legally binding ILO Convention 169, and the requirement for Free, Prior and Informed Consent (FPIC) is inconsistently applied in practice.","ai_generated":true,"unit":"client-000477#insight-6","date_modified":"2026-10-23"},{"text":"Public consultation timeframes under the CRMA are restricted to between 30 and 85 days, which may be insufficient for meaningful participation compared to broader recommendations.","ai_generated":true,"unit":"client-000477#insight-7","date_modified":"2026-10-23"},{"text":"The CRMA lacks explicit provisions for access to justice, meaning stakeholders must rely on other EU laws, such as the Aarhus Regulation and the EIA Directive, to challenge decisions at the regional or national level.","ai_generated":true,"unit":"client-000477#insight-8","date_modified":"2026-10-23"}],"climate_tags":["mining","energy transition","environmental impact assessment","public participation","indigenous rights","Free, Prior and Informed Consent","nature restoration","biodiversity","circular economy"],"geography_discussed":["Argentina","Canada","Chile","Democratic Republic of the Congo","Greenland","Kazakhstan","Namibia","Norway","Rwanda","Serbia","Ukraine","Uzbekistan","Zambia","Sweden"],"frame_perspective":[],"analysis_type":["legal guide","policy analysis","rights-based assessment"]},{"id":"afripo-000113","url":"https://climateinsightsdirectory.org/document/afripo-000113","title":"Ghanas allgemeine Wahlen 2024 Kontext Themen","publisher":{"name":"Africa Policy Research Institute","organization":"africa-policy-research-institute"},"document_type":"policy brief","language":"en","date_published":"2024-11-27","source_url":"https://afripoli.org/de/ghanas-allgemeine-wahlen-2024-kontext-themen-en","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document argues that Africa-EU and Africa-Germany relations are still defined by 'coloniality', manifesting as power imbalances that marginalise African agency. It critiques the EU's security-development nexus and the 'Samoa Agreement' for prioritising European interests, and examines German development aid through the GIZ as often intrusive or tokenistic. The author highlights the exploitation of raw materials and the use of intelligence services to acquire indigenous medicines as contemporary colonial practices. To decolonise, the paper recommends respecting African demands on trade and resource beneficiation, ending the 'Europeanisation' of security missions, and shifting from development aid to industrialisation projects.","ai_generated":true,"unit":"afripo-000113#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The relationship between the EU and the African Union is characterised by a power imbalance where the EU models the AU in its own image and uses economic advantages to secure political gains in security matters.","ai_generated":true,"unit":"afripo-000113#insight-1","date_modified":"2026-10-23"},{"text":"EU foreign policy towards Africa is structured to maintain Africa's subaltern position through 'saviourism' and the marginalisation of African agency in summitry, where the EU typically decides the agenda and drafts agreements before African involvement.","ai_generated":true,"unit":"afripo-000113#insight-2","date_modified":"2026-10-23"},{"text":"The EU's approach to raw materials, specifically through the Critical Raw Materials Act, is viewed as a means to undermine Africa's negotiating power and pit African states against other global suppliers like China and India.","ai_generated":true,"unit":"afripo-000113#insight-3","date_modified":"2026-10-23"},{"text":"EU development projects in Mauritania, Mali, and South Sudan often exhibit colonial patterns by prioritising EU-defined targets over local needs and preferring European experts over qualified local counterparts.","ai_generated":true,"unit":"afripo-000113#insight-4","date_modified":"2026-10-23"},{"text":"Germany's military and intelligence presence in Africa, including its role in the UN mission in Mali (MINUSMA), is critiqued as a tool for gathering strategic information for political and economic gain rather than genuine security.","ai_generated":true,"unit":"afripo-000113#insight-5","date_modified":"2026-10-23"},{"text":"There are allegations that German companies and intelligence agencies have engaged in the exploitation of indigenous medicines in Namibia, Botswana, and South Africa through clandestine operations to secure patents.","ai_generated":true,"unit":"afripo-000113#insight-6","date_modified":"2026-10-23"},{"text":"The G20 'Compact with Africa' is described as a self-serving mechanism that privileges a small number of economies and focuses on creating favourable tax regimes for investors rather than African industrialisation.","ai_generated":true,"unit":"afripo-000113#insight-7","date_modified":"2026-10-23"},{"text":"Germany's support for the AU Border Programme is critiqued for reviving colonial legacies and targeting territories with oil, gas, and petroleum deposits to facilitate raw material access.","ai_generated":true,"unit":"afripo-000113#insight-8","date_modified":"2026-10-23"},{"text":"German development cooperation in Namibia is marked by a lack of genuine reconciliation, evidenced by Germany's insistence on dictating how reparations for the 1904-1907 genocide are spent.","ai_generated":true,"unit":"afripo-000113#insight-9","date_modified":"2026-10-23"},{"text":"The author argues that the EU and Germany have consistently avoided supporting African industrialisation, preferring piecemeal development aid that maintains African dependency on Europe.","ai_generated":true,"unit":"afripo-000113#insight-10","date_modified":"2026-10-23"}],"climate_tags":["trade policy"],"geography_discussed":["Namibia","Mali","Mauritania","South Sudan","Zambia","Botswana","Democratic Republic of the Congo","South Africa"],"frame_perspective":[],"analysis_type":["policy analysis","qualitative research"]},{"id":"afripo-000208","url":"https://climateinsightsdirectory.org/document/afripo-000208","title":"Easing Africa's Climate Crisis: Can Green Bonds Help Close the Climate Finance Gap?","publisher":{"name":"Africa Policy Research Institute","organization":"africa-policy-research-institute"},"document_type":"research paper","language":"en","date_published":"2024-11-11","source_url":"https://afripoli.org/easing-africas-climate-crisis-can-green-bonds-help-close-the-climate-finance-gap","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document argues that green bonds are an under-utilised tool that could help Africa meet its estimated USD 2.8 trillion climate finance need by 2030. While the global green bond market reached approximately USD 2.8 trillion in 2023, Africa's share is less than 1%, representing only USD 5.1 billion. The paper highlights successful issuances in South Africa, Nigeria, and Zambia, while identifying key barriers such as low liquidity, inadequate regulation, and high transaction costs. It calls for stronger public-private collaboration and international support at COP29 to create enabling environments for green bond proliferation in Africa.","ai_generated":true,"unit":"afripo-000208#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Africa faces a significant climate finance deficit, with estimates suggesting the continent requires USD 2.8 trillion by 2030 to implement its Nationally Determined Contributions (NDCs).","ai_generated":true,"unit":"afripo-000208#insight-1","date_modified":"2026-10-23"},{"text":"Despite the rapid growth of the global green bond market, which reached approximately USD 2.8 trillion in 2023, Africa's participation remains minimal, accounting for less than 1% of the market at USD 5.1 billion.","ai_generated":true,"unit":"afripo-000208#insight-2","date_modified":"2026-10-23"},{"text":"Green bond issuances in Africa are growing, with a 125% increase in 2023 to reach USD 1.4 billion. Notable recent activity includes Côte d'Ivoire's USD 1.1 billion Sustainability Bond in 2024.","ai_generated":true,"unit":"afripo-000208#insight-3","date_modified":"2026-10-23"},{"text":"South Africa and Nigeria have emerged as leaders in the African market; South Africa pioneered the market with a sustainable finance taxonomy in 2017, while Nigeria dominates public issuance and accounts for approximately 99% of green bonds on the Nigerian Stock Exchange.","ai_generated":true,"unit":"afripo-000208#insight-4","date_modified":"2026-10-23"},{"text":"Zambia has successfully integrated green bonds into its climate strategy, issuing its first green bond of USD 200 million via the Copperbelt Energy Corporation in 2023, which was oversubscribed by 178%.","ai_generated":true,"unit":"afripo-000208#insight-5","date_modified":"2026-10-23"},{"text":"Several systemic barriers hinder the growth of green bonds in Africa, including low investor awareness, a lack of independent local verifiers, high transaction costs, and a limited pipeline of bankable projects that are large enough to attract major investors.","ai_generated":true,"unit":"afripo-000208#insight-6","date_modified":"2026-10-23"}],"climate_tags":["climate bond","climate finance","sustainable finance","renewable energy","sustainable agriculture","water management","green infrastructure","Nationally Determined Contributions","greenwashing"],"geography_discussed":["People's Republic of China","Ivory Coast","South Africa","Nigeria","Zambia","Morocco","Kenya","Namibia","Gabon","Rwanda","Seychelles","Mauritius","Tanzania","Mozambique","Azerbaijan"],"frame_perspective":[],"analysis_type":["market analysis","policy assessment","case study"]},{"id":"zca-000079","url":"https://climateinsightsdirectory.org/document/zca-000079","title":"Clean tech opportunities for emerging economies under a Trump presidency","publisher":{"name":"Zero Carbon Analytics","organization":"zero-carbon-analytics"},"document_type":"briefing","language":"en","date_published":"2024-11-06","source_url":"https://zerocarbon-analytics.org/insights/briefings/clean-tech-opportunities-for-emerging-economies-under-a-trump-presidency/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The re-election of Donald Trump may slow US clean technology deployment through the potential repeal of Inflation Reduction Act (IRA) funds and EV tax credits, potentially shifting leadership to emerging economies. The global market for six key technologies—solar PV, wind turbines, EVs, batteries, electrolysers, and heat pumps—is projected to exceed USD 2 trillion by 2035, with global trade reaching USD 575 billion. China currently leads with 70% of the market for these technologies, though it faces risks from proposed US tariffs of 60% on all imports and 100% on EVs. Other nations may benefit: India could become a net exporter of clean technologies by 2035 with annual exports of USD 30 billion, and Brazil is well-positioned in wind turbine blade production, currently accounting for 5% of the global market. In the Global South, renewable energy potential is 400 times greater than fossil fuel production, and solar is expected to have lower upfront costs than coal in Vietnam from 2024 and in India from approximately 2027.","ai_generated":true,"unit":"zca-000079#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The global market for six primary clean technologies—solar PV, wind turbines, EVs, batteries, electrolysers, and heat pumps—is expected to grow to over USD 2 trillion by 2035, representing a 186% increase from 2023 levels. Global trade in these technologies is forecasted to reach USD 575 billion by 2035, which is approximately 50% higher than current global trade in natural gas.","ai_generated":true,"unit":"zca-000079#insight-1","date_modified":"2026-10-23"},{"text":"China currently dominates the clean tech sector, holding 70% of the market for six key technologies, with exports projected to exceed USD 340 billion by 2035. While a US retreat from clean tech leadership could benefit China, proposed Trump administration tariffs—60% on all Chinese imports and 100% on EVs—could reduce China's GDP by 0.68%.","ai_generated":true,"unit":"zca-000079#insight-2","date_modified":"2026-10-23"},{"text":"Emerging economies like India and Brazil are positioned to capture market share if the US slows its clean tech deployment. India could transition from a net importer to a net exporter of clean technologies by 2035, with exports valued at USD 30 billion annually. Brazil currently produces 5% of the world's wind turbine blades.","ai_generated":true,"unit":"zca-000079#insight-3","date_modified":"2026-10-23"},{"text":"The Global South possesses a renewable energy potential 400 times greater than its fossil fuel production. In certain markets, renewables are becoming more cost-effective than coal; specifically, solar is expected to have lower upfront costs than coal in Vietnam starting in 2024 and in India from around 2027.","ai_generated":true,"unit":"zca-000079#insight-4","date_modified":"2026-10-23"},{"text":"The US Inflation Reduction Act (IRA) has attracted over USD 200 billion in investment, with foreign investors—particularly from Japan and Korea—accounting for over 45% of clean energy manufacturing investment announcements (approximately USD 58 billion). These investments are at risk if IRA benefits are rescinded.","ai_generated":true,"unit":"zca-000079#insight-5","date_modified":"2026-10-23"}],"climate_tags":["photovoltaics","wind turbine","electric vehicle","battery","heat pump","Inflation Reduction Act of 2022","renewable energy","climate finance"],"geography_discussed":["People's Republic of China","Brazil","India","Jordan","Uruguay","Namibia","Palestine","Chile","Vietnam","Saudi Arabia","United Arab Emirates","Japan","South Korea"],"frame_perspective":[],"analysis_type":["economic assessment","policy analysis"]}]}