{"query_echo":{"q":"","filters":{"analysis_type":["tool evaluation"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'tool evaluation' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":3,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=tool+evaluation","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-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":"sei-001505","url":"https://climateinsightsdirectory.org/document/sei-001505","title":"Overcoming barriers to integrated planning","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"briefing","language":"en","date_published":"2022-07","source_url":"https://www.sei.org/wp-content/uploads/2022/06/overcoming-barriers-to-integrated-planning.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Stockholm Environment Institute (SEI) highlights the need for integrated planning to manage synergies and trade-offs between the Paris Agreement and the 2030 Agenda for Sustainable Development. The briefing presents the Low Emissions Analysis Platform (LEAP) as a unique open-access, quantitative, and prospective tool capable of analyzing both Nationally Determined Contributions (NDCs) and SDGs. SEI's Initiative on Integrated Climate and Development Planning has expanded LEAP with extensions for macroeconomic impacts, health, agriculture, and land use, which have been applied in 16 countries to quantify the co-benefits of climate action.","ai_generated":true,"unit":"sei-001505#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Integrated planning is necessary because aggressive pursuit of a single climate or development goal can negatively impact other priorities, and limited resources require the optimization of synergies.","ai_generated":true,"unit":"sei-001505#insight-1","date_modified":"2026-10-23"},{"text":"While climate mitigation shows positive synergies with health (SDG 3), energy (SDG 7), responsible consumption and production (SDG 12), and oceans (SDG 14), stringent actions to limit warming to 1.5°C pose risks of trade-offs for poverty (SDG 1), hunger (SDG 2), water (SDG 6), and energy (SDG 7).","ai_generated":true,"unit":"sei-001505#insight-2","date_modified":"2026-10-23"},{"text":"An evaluation of eight available tools for assessing SDG-NDC interlinkages found that the Low Emissions Analysis Platform (LEAP) is the only open-access tool that is prospective, quantitative, comparative, and covers both SDGs and NDCs.","ai_generated":true,"unit":"sei-001505#insight-3","date_modified":"2026-10-23"},{"text":"The SEI Initiative on Integrated Climate and Development Planning has added four major extensions to LEAP to quantify impacts on specific SDGs: LEAP-Macro for employment and GDP (SDG 8), the Integrated Benefits Calculator for air pollution and health (SDG 3), the AgHealth tool for agriculture and diet (SDG 3), and a forestry and other land-use (FOLU)-tool for emissions.","ai_generated":true,"unit":"sei-001505#insight-4","date_modified":"2026-10-23"},{"text":"The LEAP toolkit has been used in 16 countries to develop NDCs or assess decarbonization, including Bangladesh, Benin, Chile, Colombia, Costa Rica, Côte d’Ivoire, Dominican Republic, Eswatini, Ghana, Mali, Mexico, Mongolia, Nigeria, Togo, Zimbabwe, and Morocco.","ai_generated":true,"unit":"sei-001505#insight-5","date_modified":"2026-10-23"},{"text":"Quantified health impact assessments for the NDCs of Nigeria, Côte d’Ivoire, and Ghana indicate that implementing updated plans could prevent 30,000, 7,000, and 2,900 premature deaths per year, respectively.","ai_generated":true,"unit":"sei-001505#insight-6","date_modified":"2026-10-23"},{"text":"In Morocco, the application of LEAP-Macro to the low-carbon energy transition showed that investments in the power sector could increase long-run GDP by 0.2%.","ai_generated":true,"unit":"sei-001505#insight-7","date_modified":"2026-10-23"}],"climate_tags":["climate change mitigation","Sustainable Development Goals","Nationally Determined Contributions","energy transition","climate finance","public health","land use","forestry"],"geography_discussed":["Africa","Nigeria","Ivory Coast","Ghana","Morocco","Bangladesh","Benin","Chile","Colombia","Costa Rica","Dominican Republic","Eswatini","Mali","Mexico","Mongolia","Togo","Zimbabwe"],"frame_perspective":[],"analysis_type":["tool evaluation","case study"]},{"id":"cdkn-000812","url":"https://climateinsightsdirectory.org/document/cdkn-000812","title":"Tools and Frameworks to Assess Climate Change Impacts","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"report","language":"en","date_published":"2014-02","source_url":"https://cdkn.org/sites/default/files/files/Tools-for-Climate-Assessment_Feb.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines the vulnerability of Kenya's private sector to climate change, specifically highlighting risks to hydropower, agriculture, and tourism. It evaluates fifteen risk assessment tools based on cost, complexity, and applicability, recommending four specific frameworks for Kenyan businesses. The document also identifies gaps in private sector adaptation, such as lack of specific geographic data and cost-benefit information, and suggests the development of a Kenyan-specific climate risk assessment tool.","ai_generated":true,"unit":"cdkn-000812#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Climate change poses significant economic risks to Kenya, with the Stockholm Environment Institute estimating that climate risks cost the economy approximately 2.0 percent of GDP annually, potentially rising to 2.6 percent by 2030.","ai_generated":true,"unit":"cdkn-000812#insight-1","date_modified":"2026-10-23"},{"text":"Several Kenyan business sectors are already experiencing negative climate impacts, including agro-processing, manufacturing, and tourism.","ai_generated":true,"unit":"cdkn-000812#insight-2","date_modified":"2026-10-23"},{"text":"Kenya's energy sector is particularly vulnerable because a large portion of its electricity is generated via hydropower, which is susceptible to droughts and reduced rainfall; for example, droughts between 1998 and 2000 resulted in industrial production losses of Ksh 110 billion.","ai_generated":true,"unit":"cdkn-000812#insight-3","date_modified":"2026-10-23"},{"text":"The tourism sector faces risks from coastal inundation, erosion, the bleaching of coral reefs, and the potential loss of the snowcap on Mount Kenya, as well as disruptions to wildlife migration patterns.","ai_generated":true,"unit":"cdkn-000812#insight-4","date_modified":"2026-10-23"},{"text":"The report identifies four tools as most promising for the Kenyan private sector due to their low complexity and high applicability: 'Adapting Climate Change: A Business Approach' (Pew Centre), 'Building Business Resilience in a Changing Climate: Business Primer – Facing the Elements' (NRTEE), 'Business ADAPT' (Oxfam and Acclimatise), and 'Climate Change Adaptation and Mitigation in the Tourism Sector' (UNEP and University of Oxford).","ai_generated":true,"unit":"cdkn-000812#insight-5","date_modified":"2026-10-23"},{"text":"Despite general awareness, most Kenyan businesses have not developed formal adaptation strategies, often taking a 'wait-and-see' approach or acting based on immediate cost considerations rather than a comprehensive risk management strategy.","ai_generated":true,"unit":"cdkn-000812#insight-6","date_modified":"2026-10-23"},{"text":"Key barriers preventing Kenyan businesses from assessing and responding to climate impacts include a lack of cost-benefit information, uncertainty regarding the timing of impacts, and a lack of specific geographic data.","ai_generated":true,"unit":"cdkn-000812#insight-7","date_modified":"2026-10-23"}],"climate_tags":["Climate risk assessment","climate change adaptation","climate finance","hydropower","tourism industry","climate variability","greenhouse gas emissions","climate change mitigation"],"geography_discussed":["Horn of Africa","Canada","Europe","North America"],"frame_perspective":[],"analysis_type":["literature review","tool evaluation","sectoral impact analysis"]}]}