{"query_echo":{"q":"","filters":{"analysis_type":["methodology development"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'methodology development' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":9,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=methodology+development","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":"iai-000195","url":"https://climateinsightsdirectory.org/document/iai-000195","title":"Diseño de una metodología para evaluar el conocimiento local sobre cambio global y su papel en la construcción de escenarios futuros de uso de la tierra por actores locales","publisher":{"name":"Inter-American Institute for Global Change Research","organization":"inter-american-institute-for-global-change-research"},"document_type":"executive summary","language":"en","date_published":"2024-09-16","source_url":"https://iai.int/en/diseno-de-una-metodologia-para-evaluar-el-conocimiento-local-sobre-cambio-global-y-su-papel-en-la-construccion-de-escenarios-futuros-de-uso-de-la-tierra-por-actores-locales-scenarios-sgp-hd-009/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The project introduces the Local Knowledge Scenarios (LKS) method, which integrates fieldwork and Agent-Based Models to document local perceptions of environmental change and their impact on decision-making. Testing across five diverse ecological zones in the Americas revealed that while local awareness of issues like deforestation and hydrological change is increasing, the effectiveness of environmental governance is often hindered by a lack of local acceptance of laws or the absence of flexible national policies for adaptation.","ai_generated":true,"unit":"iai-000195#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The project developed the Local Knowledge Scenarios (LKS) method, which utilizes a combination of fieldwork and Agent-Based Models to facilitate the participative construction of land-use scenarios.","ai_generated":true,"unit":"iai-000195#insight-1","date_modified":"2026-10-23"},{"text":"In the Amazon, local populations show increased awareness of soil degradation and hydrological changes caused by deforestation, yet environmental laws regarding deforestation are difficult to implement because they lack local acceptance.","ai_generated":true,"unit":"iai-000195#insight-2","date_modified":"2026-10-23"},{"text":"In the Change Islands, Canada, the fishing community's efforts to maintain living standards through diversification into tourism are obstructed by a lack of national public policy that permits adaptation to specific local situations.","ai_generated":true,"unit":"iai-000195#insight-3","date_modified":"2026-10-23"}],"climate_tags":["environmental governance","deforestation","climate change adaptation"],"geography_discussed":["Brazil","Canada","Peru","Uruguay","Amazon rainforest","Change Islands"],"frame_perspective":[],"analysis_type":["methodology development","case study"]},{"id":"sei-001218","url":"https://climateinsightsdirectory.org/document/sei-001218","title":"The Agenda 2030 Compass","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":"2022-10","source_url":"https://www.sei.org/wp-content/uploads/2022/11/agenda-2030-compass-synthesis-report.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Agenda 2030 Compass is a decision-support system consisting of a Context Mapper and a Strategy Analyser. It enables organisations to quantify how a planned action affects the 17 SDGs, accounting for context-specific synergies and trade-offs. The tool was developed through a collaboration between the Stockholm Environment Institute, Jernkontoret, and the MIT Center for Collective Intelligence, and has been pilot-tested in Swedish case studies involving e-scooters, housing, urban mobility, and regional innovation.","ai_generated":true,"unit":"sei-001218#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Agenda 2030 Compass consists of two primary components: the Context Mapper, which identifies potential positive or negative SDG interactions based on socio-economic and environmental factors, and the Strategy Analyser, a workshop-based process for evaluating the sustainability implications of specific interventions.","ai_generated":true,"unit":"sei-001218#insight-1","date_modified":"2026-10-23"},{"text":"The tool uses a matrix-based approach to calculate indirect effects, where a vector of direct SDG impacts is applied to a context-specific interaction matrix to identify 'acupuncture points'—areas of high potential for synergies or trade-offs.","ai_generated":true,"unit":"sei-001218#insight-2","date_modified":"2026-10-23"},{"text":"The Context Mapper utilizes a 'triangulation' method to build interaction maps, combining empirical analysis of historical global data, expert panel assessments, and crowdsourced intelligence from a global network of nearly 200 experts via the 2030 Compass CoLab.","ai_generated":true,"unit":"sei-001218#insight-3","date_modified":"2026-10-23"},{"text":"The project demonstrated that while global data can provide an initial indicative map, country-level expertise is still required to refine the analysis; however, such maps can be developed in as little as two or three days.","ai_generated":true,"unit":"sei-001218#insight-4","date_modified":"2026-10-23"},{"text":"Four pilot case studies in Sweden validated the tool's application across different sectors: Stilride (e-scooter production), Ascend (smart energy housing for Örebrobostäder), Kalmar municipal administration (mobility strategy), and Ramboll/Skåne Regional Council (regional innovation strategy).","ai_generated":true,"unit":"sei-001218#insight-5","date_modified":"2026-10-23"},{"text":"A critical limitation of the Context Mapper is that it relies on historical empirical data, meaning interaction scores may not reflect evolving conditions or anticipated changes 5–10 years in the future.","ai_generated":true,"unit":"sei-001218#insight-6","date_modified":"2026-10-23"},{"text":"The research concludes that the 2030 Compass is intended as a process for structured collective reflection rather than a quantitative modelling tool, as the complexity of SDGs makes aggregate scoring and dynamic future modelling nearly impossible.","ai_generated":true,"unit":"sei-001218#insight-7","date_modified":"2026-10-23"}],"climate_tags":["Sustainable Development Goals","climate change mitigation","urban transport"],"geography_discussed":["Poland","India","World"],"frame_perspective":[],"analysis_type":["methodology development","case study","tool evaluation"]},{"id":"newclim-000118","url":"https://climateinsightsdirectory.org/document/newclim-000118","title":"NDC Design | NewClimate Institute","publisher":{"name":"NewClimate Institute","organization":"newclimate-institute"},"document_type":"report","language":"en","date_published":"2021-07-08","source_url":"http://www.newclimate.org/resources/publications/ndc-design","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The NewClimate Institute developed a methodology to assess the design of NDCs based on four criteria: increased mitigation ambition, comprehensiveness, implementation plans, and transparency. Applying this to 20 diverse NDCs, the analysis found that while most countries meet requirements for comprehensiveness and transparency, less than half demonstrated higher mitigation ambition compared to their first NDC, and many lack clear implementation plans.","ai_generated":true,"unit":"newclim-000118#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The analysis of 20 NDCs indicates that most countries generally meet the requirements for transparency and comprehensiveness, largely due to the rules established under the Paris Agreement.","ai_generated":true,"unit":"newclim-000118#insight-1","date_modified":"2026-10-23"},{"text":"There is a significant gap in the ambition cycle, as fewer than half of the analyzed NDCs showed an increase in mitigation ambition over their initial submissions; some targets remained the same or became less ambitious due to baseline emission changes.","ai_generated":true,"unit":"newclim-000118#insight-2","date_modified":"2026-10-23"},{"text":"Many countries fail to provide a clear implementation plan for their targets, often because measures have not yet been integrated into national legislation.","ai_generated":true,"unit":"newclim-000118#insight-3","date_modified":"2026-10-23"}],"climate_tags":["Nationally Determined Contributions","Paris Agreement","climate change mitigation","climate policy","transparency"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["methodology development","policy assessment"]},{"id":"fsdafri-000003","url":"https://climateinsightsdirectory.org/document/fsdafri-000003","title":"Supporting jobs by strengthening financial systems","publisher":{"name":"FSD Africa","organization":"fsd-africa"},"document_type":"research paper","language":"en","date_published":"2021-01-20","source_url":"https://fsdafrica.org/supporting-jobs-by-strengthening-financial-systems/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"FSD Africa, in collaboration with The Good Economy and Tandem, has developed a four-step framework to measure how financial sector deepening impacts job creation. The framework emphasizes the use of full-time equivalent (FTE) metrics to account for underemployment and employs a sectoral approach to assess job quality and 'decent work' multipliers. The process involves a theory-based assessment of materiality, estimation of direct and indirect jobs, a decent jobs assessment using sector proxies, and optional bespoke research for high-impact projects.","ai_generated":true,"unit":"fsdafri-000003#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The measurement framework consists of four sequential steps: first, a theory-based assessment to determine if a project has a 'material' or 'significant' effect on employment; second, estimating job numbers using primary data and modelling 'indirect' supply chain effects; third, a 'decent jobs assessment' evaluating gender equality, inclusion, earnings, and security using sector averages; and finally, optional bespoke research for projects with large impacts or evidence gaps.","ai_generated":true,"unit":"fsdafri-000003#insight-1","date_modified":"2026-10-23"},{"text":"Using full-time equivalent (FTE) terms is critical for measuring impact in regions with high underemployment, as job creation often involves increasing the work volume for existing employees rather than creating new positions.","ai_generated":true,"unit":"fsdafri-000003#insight-2","date_modified":"2026-10-23"},{"text":"A sectoral approach is necessary because employment intensity and job quality vary by industry; this allows for the use of a 'decent work employment multiplier' to qualify job numbers based on the relative quality and inclusion of jobs in a specific sector.","ai_generated":true,"unit":"fsdafri-000003#insight-3","date_modified":"2026-10-23"},{"text":"Financial systems can drive economic growth and job creation by overcoming finance constraints for small firms and improving capital allocation to high-growth firms.","ai_generated":true,"unit":"fsdafri-000003#insight-4","date_modified":"2026-10-23"}],"climate_tags":["job creation"],"geography_discussed":["sub-Saharan Africa","Mozambique"],"frame_perspective":[],"analysis_type":["methodology development","impact measurement"]},{"id":"wri-001150","url":"https://climateinsightsdirectory.org/document/wri-001150","title":"A METHODOLOGY TO ESTIMATE WATER DEMAND FOR THERMAL POWER PLANTS IN DATA-SCARCE REGIONS USING SATELLITE IMAGES","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"research paper","language":"en","date_published":"2018-01","source_url":"https://wriorg.s3.amazonaws.com/s3fs-public/17_TECH_PowerPlants_V7.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The World Resources Institute developed a three-step method to estimate thermal power plant water demand: identifying cooling and fuel types via satellite images, assigning water-use factors from empirical data, and calculating total use based on net generation. Tested on 200 U.S. plants, the method achieved 90% precision in cooling and 89% in fuel identification, though water demand estimation precision was lower at 69%. The authors note limitations regarding image resolution, the inability to distinguish specific generation technologies within a fuel type, and the reliance on U.S.-based water-use factors which may vary globally.","ai_generated":true,"unit":"wri-001150#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The proposed methodology consists of three steps: first, using satellite images to identify cooling and fuel types; second, assigning water withdrawal and consumption factors based on those identifications; and third, calculating total water use using net generation data.","ai_generated":true,"unit":"wri-001150#insight-1","date_modified":"2026-10-23"},{"text":"Testing the method against 200 thermal power plants in the United States showed high accuracy in classification, with 90 percent average precision for both fuel and cooling technology identification.","ai_generated":true,"unit":"wri-001150#insight-2","date_modified":"2026-10-23"},{"text":"The methodology's precision in estimating actual water demand was 69 percent, with the highest accuracy found in dry-cooled and recirculating tower plants, and larger disparities occurring in once-through and recirculating pond systems.","ai_generated":true,"unit":"wri-001150#insight-3","date_modified":"2026-10-23"},{"text":"The research identifies specific visual markers for different technologies: coal plants often have black coal fields and conveyor belts; nuclear plants feature large domed towers; and dry cooling systems have 'accordion-like' structures.","ai_generated":true,"unit":"wri-001150#insight-4","date_modified":"2026-10-23"},{"text":"Several limitations affect the method's accuracy, including the inability to distinguish between different generation technologies within the same fuel type (such as subcritical vs. supercritical) and the potential for local variations in water-use factors outside the United States.","ai_generated":true,"unit":"wri-001150#insight-5","date_modified":"2026-10-23"}],"climate_tags":["coal power","nuclear power","geothermal power"],"geography_discussed":["United States"],"frame_perspective":[],"analysis_type":["methodology development","validation study"]},{"id":"sei-001731","url":"https://climateinsightsdirectory.org/document/sei-001731","title":"A societal value compass for the Swedish steel industry","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"fact sheet","language":"en","date_published":"2017","source_url":"https://www.sei.org/mediamanager/documents/Publications/SEI-FS-2017-Societal-value.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Stockholm Environment Institute and the Swedish Steel Producers Association (Jernkontoret) are creating a methodology and toolbox—a 'societal value compass'—to guide the Swedish steel industry toward its 2050 vision of creating positive societal value. The tool integrates the 17 Sustainable Development Goals (SDGs) with capital theory (natural, real, human, and social capital) to evaluate how industry activities affect broader societal interests. The project involves cross-impact balance analysis of SDG targets, focus group consultations, and the development of a prototype to be tested through topical case studies. This framework aims to enhance the industry's global competitiveness and facilitate communication with investors, employees, and policymakers regarding its contribution to sustainability.","ai_generated":true,"unit":"sei-001731#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The 'societal value compass' is being developed using two primary frameworks: the 17 Sustainable Development Goals (SDGs) and the 2030 Agenda, and capital theory based on the World Bank's approach to wealth accounting involving natural, real, human, and social capital.","ai_generated":true,"unit":"sei-001731#insight-1","date_modified":"2026-10-23"},{"text":"The project aims to support the Swedish steel industry's 2050 vision, which focuses on technical excellence, creativity, innovation, and resource efficiency to ensure the industry produces only positive \"societal value\" (samhällsnytta).","ai_generated":true,"unit":"sei-001731#insight-2","date_modified":"2026-10-23"},{"text":"The methodology will employ cross-impact balance analysis to investigate how progress on specific SDG targets influences others and how these targets interact with various forms of capital in both corporate and societal balance sheets.","ai_generated":true,"unit":"sei-001731#insight-3","date_modified":"2026-10-23"},{"text":"The compass is intended to improve the industry's decision-making regarding alliance-building, investments, and product portfolio development, while also serving as a communication tool for stakeholders including investors, politicians, and civil society.","ai_generated":true,"unit":"sei-001731#insight-4","date_modified":"2026-10-23"}],"climate_tags":["Sustainable Development Goals","iron and steel industry","resource efficiency","sustainable development"],"geography_discussed":["World"],"frame_perspective":[],"analysis_type":["methodology development","strategic planning"]},{"id":"sei-002684","url":"https://climateinsightsdirectory.org/document/sei-002684","title":"Reducing Greenhouse Gas Emissions Associated with Consumption","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2012-08","source_url":"https://www.sei.org/mediamanager/documents/Publications/Climate/sei-wp-2012-05-reducing-ghgs-consumption.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The research paper develops a methodology for scenario analysis of consumption-based GHG emissions, moving beyond traditional production-based accounting. It introduces a framework using a modified Kaya Identity to forecast emissions by analyzing population, consumption activity, and GHG intensity. The authors provide a catalogue of low-GHG behavioral measures across food, goods, services, construction, transport, and home energy. Piloting the method in Seattle and the U.S., the study finds that while aggressive behavioral shifts and production improvements can reduce consumption-based emissions by 47% by 2030, the resulting levels remain significantly above the global average required to limit warming to 2°C.","ai_generated":true,"unit":"sei-002684#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Consumption-based GHG accounting reveals a significant difference from production-based accounting for most countries, with an average difference of 29% in cases where consumption-based emissions exceed production-based emissions.","ai_generated":true,"unit":"sei-002684#insight-1","date_modified":"2026-10-23"},{"text":"The proposed methodology for forecasting consumption activity uses a two-step process: first forecasting total consumer expenditures based on economic activity, and then using economic elasticities to convert spending into forecasts of functional units (e.g., kilograms of food).","ai_generated":true,"unit":"sei-002684#insight-2","date_modified":"2026-10-23"},{"text":"In Seattle, consumption-based emissions are estimated at 26 tons CO2e per resident, which is several times higher than the per capita emissions released from within the city's own boundaries.","ai_generated":true,"unit":"sei-002684#insight-3","date_modified":"2026-10-23"},{"text":"Baseline forecasts for Seattle suggest per capita consumption emissions will rise from 26 tCO2e in 2010 to 29 tCO2e by 2030, primarily driven by growth in expenditures on services and other goods as incomes increase.","ai_generated":true,"unit":"sei-002684#insight-4","date_modified":"2026-10-23"},{"text":"A mitigation scenario for Seattle involving aggressive behavioral and production shifts could reduce consumption-based emissions to 15 tCO2e per person by 2030, representing a 47% reduction from the baseline.","ai_generated":true,"unit":"sei-002684#insight-5","date_modified":"2026-10-23"},{"text":"Behavioral measures in Seattle, such as diet shifts and extended product lifespans, can reduce emissions by approximately 2.7 tCO2e/capita, or 10% of the average resident's consumption emissions.","ai_generated":true,"unit":"sei-002684#insight-6","date_modified":"2026-10-23"},{"text":"Despite aggressive mitigation, Seattle's projected 15 tCO2e per capita in 2030 remains far above the global average of approximately 1 tCO2e per person needed to limit warming to 2°C.","ai_generated":true,"unit":"sei-002684#insight-7","date_modified":"2026-10-23"},{"text":"Applying the methodology to the entire United States shows that consumption-based emissions in 2010 were 26 tCO2e per person, totaling 8.0 billion tons CO2e, which is about 17% higher than the U.S. production-based inventory of 6.8 billion tons CO2e.","ai_generated":true,"unit":"sei-002684#insight-8","date_modified":"2026-10-23"},{"text":"For the U.S. as a whole, the implementation of both production- and consumption-based mitigation measures could reduce consumption-based GHGs to 14 tCO2e per person by 2030, a 47% reduction from the baseline.","ai_generated":true,"unit":"sei-002684#insight-9","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","sustainable consumption","carbon footprint","carbon price","low-carbon economy","energy efficiency","biofuel","Building retrofit"],"geography_discussed":["King County","European Union","United Kingdom","California"],"frame_perspective":[],"analysis_type":["methodology development","scenario analysis","pilot study"]},{"id":"bc3res-000096","url":"https://climateinsightsdirectory.org/document/bc3res-000096","title":"The Uniform World Model: A Methodology for Predicting the Health Impacts of Air Pollution","publisher":{"name":"Basque Centre for Climate Change","organization":"basque-centre-for-climate-change"},"document_type":"research paper","language":"en","date_published":"2011-12","source_url":"https://www.bc3research.org/h6T8Uy8Nm4gFs0O/20111201110452344782793.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Uniform World Model (UWM) is a simplified environmental impact assessment tool designed to calculate health impacts and damage costs from air pollution. It uses a few key input parameters and assumes a uniform distribution of receptors to provide a transparent alternative to complex 'black-box' software. The author validates the UWM by comparing its results with established models like CALPUFF, ISC3, EMEP, and GAINS across various scales and regions, including Europe, China, India, and the USA. Findings indicate that the UWM is robust, typically falling within a ±50% deviation range, and is particularly accurate for regional or continental estimates and tall stack emissions.","ai_generated":true,"unit":"bc3res-000096#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Uniform World Model (UWM) is designed as a transparent, easy-to-implement alternative to complex Environmental Impact Assessment (EIA) software, requiring only a few key input parameters to calculate public health outcomes from atmospheric pollutants.","ai_generated":true,"unit":"bc3res-000096#insight-1","date_modified":"2026-10-23"},{"text":"Validation against detailed air quality models shows that UWM estimates are generally robust, with typical deviations remaining within a ±50% range.","ai_generated":true,"unit":"bc3res-000096#insight-2","date_modified":"2026-10-23"},{"text":"In a comparison of primary particulate matter (PPM2.5) marginal damage costs in Europe, the UWM showed a mean relative error of less than 2% compared to the NEEDS project results, with a maximum country-level deviation of 26%.","ai_generated":true,"unit":"bc3res-000096#insight-3","date_modified":"2026-10-23"},{"text":"When assessing the indirect health damage costs of ammonia emissions in Europe, UWM estimates were within ±30% for most countries and overestimated pan-European results from the EC4MACS project by only 7.5%.","ai_generated":true,"unit":"bc3res-000096#insight-4","date_modified":"2026-10-23"},{"text":"The UWM's estimate for the loss of life expectancy (LLE) in China due to anthropogenic emissions in 2005 underestimated the GAINS-China model results by approximately 5%.","ai_generated":true,"unit":"bc3res-000096#insight-5","date_modified":"2026-10-23"},{"text":"Comparisons with the EMEP model for primary PM2.5 in Europe showed that UWM overestimates continental concentrations by an average of 2.5% and underestimates country-level concentrations by about 5%.","ai_generated":true,"unit":"bc3res-000096#insight-6","date_modified":"2026-10-23"},{"text":"UWM predictions for pollutant intake factors (iF) for primary particulate emissions in the US and China showed typical deviations of less than 10% compared to CALPUFF-based literature results.","ai_generated":true,"unit":"bc3res-000096#insight-7","date_modified":"2026-10-23"},{"text":"For transport emissions in Hyderabad, India, the UWM predicted a mean urban concentration of 131 µg/m3 for PPM10, which is within 20% of the ISC estimate of 160 µg/m3.","ai_generated":true,"unit":"bc3res-000096#insight-8","date_modified":"2026-10-23"},{"text":"The model's accuracy is higher for regional or continental estimates and for tall stacks (over 200 meters), where the well-mixed atmosphere hypothesis is more realistic.","ai_generated":true,"unit":"bc3res-000096#insight-9","date_modified":"2026-10-23"}],"climate_tags":["air pollution","particulates","Green ammonia"],"geography_discussed":["Europe","People's Republic of China","India","United States","Beijing","Hyderabad","Paris","France"],"frame_perspective":[],"analysis_type":["methodology development","model validation","comparative analysis"]},{"id":"iai-001616","url":"https://climateinsightsdirectory.org/document/iai-001616","title":"Designing a methodology to evaluate local knowledge on global change and its role in the construction of future land use scenarios by local actors","publisher":{"name":"Inter-American Institute for Global Change Research","organization":"inter-american-institute-for-global-change-research"},"document_type":"fact sheet","language":"en","date_published":"2010-05","source_url":"https://iai.int/admin/site/sites/default/files/uploads/2014/03/SGP-HD_9.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The project developed the Local Knowledge Scenarios (LKS) method, which integrates field work and Agent-Based Models to document local perceptions of environmental change and their impact on decision-making. Testing across five diverse American regions revealed that local awareness of issues like deforestation in the Amazon does not always translate to the acceptance of environmental laws, and that fishing communities in Canada require national public policies to successfully diversify their income sources.","ai_generated":true,"unit":"iai-001616#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The project developed the Local Knowledge Scenarios (LKS) method, which utilizes a combination of field work and Agent-Based Models to facilitate the participative construction of land use scenarios.","ai_generated":true,"unit":"iai-001616#insight-1","date_modified":"2026-10-23"},{"text":"In the Amazon region, while local populations show increased awareness regarding soil degradation from deforestation and hydrological changes, they do not accept the environmental laws intended to address deforestation, making the application of such laws difficult.","ai_generated":true,"unit":"iai-001616#insight-2","date_modified":"2026-10-23"},{"text":"In the Change Islands of Canada, the fishing community's ability to maintain living standards while diversifying into income sources like tourism is dependent on national public policies that permit adaptation to specific local situations.","ai_generated":true,"unit":"iai-001616#insight-3","date_modified":"2026-10-23"}],"climate_tags":["environmental governance","deforestation","climate change adaptation"],"geography_discussed":["Uruguay","Brazil","Canada","Peru"],"frame_perspective":[],"analysis_type":["methodology development","social science research"]}]}