{"query_echo":{"q":"","filters":{"analysis_type":["methodology overview"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'methodology overview' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":5,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=methodology+overview","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":"sei-001914","url":"https://climateinsightsdirectory.org/document/sei-001914","title":"WASH-Flows","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"fact sheet","language":"en","date_published":"2023-11","source_url":"https://www.sei.org/wp-content/uploads/2023/11/sei2023.052-wash-flows-fact-sheet.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"WASH-Flows is a Microsoft Excel-based tool developed under the Bolivia WATCH Program to bridge the gap between household-level WASH data and watershed-scale planning. It transforms qualitative household information into quantitative data to assess service vulnerability, estimate environmental contamination loads, and provide water demand and wastewater flow data for water resources management software. While developed for Bolivia and currently applied in the Tupiza, Pampa Huari, and Choqueyapu-La Paz watersheds, the tool is intended for use in low- and middle-income countries across rural and peri-urban settings.","ai_generated":true,"unit":"sei-001914#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The WASH-Flows tool utilizes a Microsoft Excel interface to convert qualitative household data into quantitative analysis and graphical representations, allowing planners to assess the current state and vulnerability of WASH services at the community level.","ai_generated":true,"unit":"sei-001914#insight-1","date_modified":"2026-10-23"},{"text":"The tool is designed to support the achievement of Sustainable Development Goal (SDG) 6 by monitoring progress and prioritizing interventions in rural and peri-urban areas to ensure no one is left behind.","ai_generated":true,"unit":"sei-001914#insight-2","date_modified":"2026-10-23"},{"text":"WASH-Flows provides critical data for environmental and resource management, including estimates of contamination loads from inadequate sanitation and data on water demand and wastewater flows that can be integrated into watershed modelling tools like the Water Evaluation And Planning (WEAP) system.","ai_generated":true,"unit":"sei-001914#insight-3","date_modified":"2026-10-23"},{"text":"Developed under the Bolivia WATCH Program and financed by Sida, the tool has been applied in its beta version to three Bolivian watersheds: Tupiza, Pampa Huari, and Choqueyapu-La Paz.","ai_generated":true,"unit":"sei-001914#insight-4","date_modified":"2026-10-23"}],"climate_tags":["Integrated Water Resources Management","wastewater treatment","water quality"],"geography_discussed":["Tupiza","Pampa Huari","Choqueyapu-La Paz","Guatemala","Mexico","Peru","Colombia","Spain"],"frame_perspective":[],"analysis_type":["tool description","methodology overview"]},{"id":"sei-002156","url":"https://climateinsightsdirectory.org/document/sei-002156","title":"Agenda 2030 Compass: Insights built on the SDGs","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"briefing","language":"en","date_published":"2022-10","source_url":"https://www.sei.org/wp-content/uploads/2022/11/agenda-2030-compass-brief-221117.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Agenda 2030 Compass is a tool developed by the Stockholm Environment Institute, Jernkontoret, the MIT Center for Collective Intelligence, and Swedwise to help decision-makers evaluate how investments, policies, or products affect the SDGs. It consists of a Context Mapper, which identifies potential SDG interactions based on local factors like socio-economic conditions and energy mix, and a Strategy Analyser, a workshop-based process used to score direct impacts and identify indirect synergies and trade-offs. The tool was pilot-tested in four Swedish case studies involving electric scooters, smart energy housing, urban mobility, and regional innovation strategies.","ai_generated":true,"unit":"sei-002156#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 factors such as the physical environment, energy mix, and socio-economic conditions, and the Strategy Analyser, which uses a workshop-based process to evaluate the sustainability implications of a specific intervention.","ai_generated":true,"unit":"sei-002156#insight-1","date_modified":"2026-10-23"},{"text":"The tool's methodology accounts for the fact that SDG interactions are context-dependent; for example, irrigation to boost crop productivity may conflict with hydropower development in water-stressed regions, but such conflicts would not occur in areas with plentiful water.","ai_generated":true,"unit":"sei-002156#insight-2","date_modified":"2026-10-23"},{"text":"The Strategy Analyser employs a structured four-block process: Block A defines the strategy and context; Block B involves participants scoring SDG impacts from +3 (strongly promoting) to -3 (strongly restricting); Block C uses a \"think-write-share\" technique to refine direct effects; and Block D uses an \"Acupuncture view\" to identify and analyze indirect synergies and trade-offs.","ai_generated":true,"unit":"sei-002156#insight-3","date_modified":"2026-10-23"},{"text":"The methodology was successfully pilot-tested in four Swedish case studies: Stilride (lightweight steel electric scooters), Örebrobostäder (smart energy housing), Kalmar municipal administration (mobility strategy to shift from 60% private car use to 60% walking, cycling, and public transport), and a regional innovation strategy for Skåne developed by Ramboll and the Skåne Regional Council.","ai_generated":true,"unit":"sei-002156#insight-4","date_modified":"2026-10-23"},{"text":"The Context Mapper has already produced a detailed map for Sweden and basic maps for India and Poland, with the capability to generate new maps using country-level experts in two to three days or via a crowdsourcing platform called the 2030 Compass CoLab.","ai_generated":true,"unit":"sei-002156#insight-5","date_modified":"2026-10-23"}],"climate_tags":["Sustainable Development Goals","urban transport","public transport"],"geography_discussed":["Sweden","Poland","India","Skåne County","Kalmar","Örebro"],"frame_perspective":[],"analysis_type":["methodology overview","case study"]},{"id":"drawdown-000037","url":"https://climateinsightsdirectory.org/document/drawdown-000037","title":"The Problem","publisher":{"name":"Project Drawdown","organization":"project-drawdown"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://drawdown.org/explorer/primer","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document outlines the drivers of global warming, specifically the emission of climate pollutants from fossil fuels, land use, and industrial activities. It introduces Project Drawdown's approach to climate action, which prioritizes the deployment of existing, scalable, and economically feasible physical practices and technologies over theoretical future developments. The text distinguishes between 'solutions' (physical practices), 'levers' (policies and investments), and 'key actors' (the people implementing them), while detailing the transparent, open-source methodology used by the Drawdown Explorer to categorize and evaluate these solutions by their mode of action and sector.","ai_generated":true,"unit":"drawdown-000037#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Human activity has caused the planet to warm by approximately 1.2 ˚C compared to preindustrial levels through the emission of climate pollutants, including CO₂, methane, and black carbon.","ai_generated":true,"unit":"drawdown-000037#insight-1","date_modified":"2026-10-23"},{"text":"Climate pollutants are released into the atmosphere via the burning of fossil fuels (coal, oil, and natural gas), deforestation, large-scale agriculture, cement production, refrigerant disposal, landfill operations, and wastewater treatment.","ai_generated":true,"unit":"drawdown-000037#insight-2","date_modified":"2026-10-23"},{"text":"Project Drawdown defines a climate solution specifically as a physical practice or technology that reduces the long-term concentration of greenhouse gases by cutting emissions, removing them from the atmosphere, or both.","ai_generated":true,"unit":"drawdown-000037#insight-3","date_modified":"2026-10-23"},{"text":"The framework distinguishes physical solutions from 'levers'—such as laws, regulations, and investments—and 'key actors'—such as policymakers and business leaders—who facilitate the scaling of those solutions.","ai_generated":true,"unit":"drawdown-000037#insight-4","date_modified":"2026-10-23"},{"text":"Project Drawdown's assessment methodology, updated in 2024, utilizes open-source data and transparent, step-by-step calculations to evaluate solutions based on their global and regional scale, effectiveness, and co-benefits for people and nature.","ai_generated":true,"unit":"drawdown-000037#insight-5","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas","fossil fuel","deforestation","agriculture","waste management","climate change mitigation","climate policy","renewable energy","energy efficiency"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["framework description","methodology overview"]},{"id":"iisd-001584","url":"https://climateinsightsdirectory.org/document/iisd-001584","title":"COMMUNITY-BASED RISK SCREENING TOOL – ADAPTATION AND LIVELIHOODS","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://www.iisd.org/system/files/publications/iisd-cristal-brochure-2015.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document describes the Community-based Risk Screening Tool (CRiSTAL), a decision-support application used to integrate climate adaptation into local projects. It outlines the tool's objective to analyze how climate hazards affect livelihoods and project activities, its three-phase analytical approach, and the various training and consultancy services provided by the International Institute for Sustainable Development (IISD) and its partners.","ai_generated":true,"unit":"iisd-001584#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"CRiSTAL is designed to help users understand the relationship between climate hazards, local livelihoods, and project activities. Specifically, it assesses how current and future hazards affect project areas, how people respond to these impacts, which livelihood resources are most critical for response strategies, and how project activities influence the availability of those resources.","ai_generated":true,"unit":"iisd-001584#insight-1","date_modified":"2026-10-23"},{"text":"The tool employs a three-phase analytical process: Phase A focuses on understanding the livelihoods and climate context; Phase B evaluates implications for the project; and Phase C supports monitoring and evaluation. The process involves five steps, including describing the livelihoods context, analyzing climate risks, revising existing activities, designing new activities, and identifying monitoring and evaluation framework elements.","ai_generated":true,"unit":"iisd-001584#insight-2","date_modified":"2026-10-23"},{"text":"CRiSTAL utilizes a combination of desk-based reviews, expert interviews, and participatory community consultations to gather data on local livelihoods and coping strategies. It is available as a Windows-compatible desktop application in English and Spanish, with specialized versions available for forests, food security, and protected areas (CRiSTAL Parks).","ai_generated":true,"unit":"iisd-001584#insight-3","date_modified":"2026-10-23"},{"text":"Since 2007, the tool has been implemented in more than 30 countries across Africa, Asia, and Latin America. In 2014, it was recognized by the Intergovernmental Panel on Climate Change as a decision-support tool for adaptation risk management and has been included in resources from the World Bank, UNEP, and UNFCCC.","ai_generated":true,"unit":"iisd-001584#insight-4","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","climate risk management","Community based adaptation","food security"],"geography_discussed":["Peru","Asia","Africa","Latin America"],"frame_perspective":[],"analysis_type":["tool description","methodology overview"]},{"id":"sei-000200","url":"https://climateinsightsdirectory.org/document/sei-000200","title":"The Impact Benefits Calculator (IBC)","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://leap.sei.org/help24/IBC/Introduction_to_IBC.htm","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The Impact Benefits Calculator (IBC) is a tool integrated into LEAP that translates emissions scenarios into estimates of health and climate impacts. It utilizes parameterized results from the GEOS-Chem Adjoint model and standard concentration-response functions to calculate population-weighted PM2.5 concentrations and associated premature mortality. The tool is designed to be accessible to planners in the developing world, reducing complex modeling that previously required supercomputers to calculations that run in seconds. It currently supports 161 countries and analyzes pollutants including CO2, methane, black carbon, and nitrogen oxides.","ai_generated":true,"unit":"sei-000200#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The IBC estimates health and climate impacts by combining LEAP emissions scenarios with parameterized results from the GEOS-Chem Adjoint global 3D chemical transport model to determine population-weighted concentrations of fine particulate matter (PM2.5).","ai_generated":true,"unit":"sei-000200#insight-1","date_modified":"2026-10-23"},{"text":"To function, the IBC requires comprehensive emissions inventories and scenarios for various pollutants, including CO2, methane (CH4), black carbon, organic carbon, PM2.5, non-methane volatile organic compounds (NMVOCs), nitrogen oxides (NOx), sulfur dioxide (SO2), and ammonia (NH3).","ai_generated":true,"unit":"sei-000200#insight-2","date_modified":"2026-10-23"},{"text":"The tool incorporates global emissions data for the period 2010-2050 from the IIASA ECLIPSE scenarios, offering both a baseline scenario with minor worldwide efforts and a maximal effort scenario involving 16 measures, such as banning agricultural residue burning.","ai_generated":true,"unit":"sei-000200#insight-3","date_modified":"2026-10-23"},{"text":"The IBC increases accessibility for planners in the developing world by parameterizing GEOS-Chem Adjoint calculations, which reduces processing time from several days on supercomputers to a few seconds within LEAP.","ai_generated":true,"unit":"sei-000200#insight-4","date_modified":"2026-10-23"},{"text":"The IBC has been calibrated for use in 161 countries and was developed through a collaboration between the Stockholm Environment Institute and the University of Colorado, with support from UNEP and the Climate and Clean Air Coalition (CCAC).","ai_generated":true,"unit":"sei-000200#insight-5","date_modified":"2026-10-23"}],"climate_tags":["air pollution","carbon dioxide","methane","Green ammonia","Nationally Determined Contributions"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["tool description","methodology overview"]}]}