{"query_echo":{"q":"","filters":{"analysis_type":["computational modeling"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'computational modeling' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":4,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=computational+modeling","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":"rmi-001006","url":"https://climateinsightsdirectory.org/document/rmi-001006","title":"INDIA LEAPS AHEAD: TRANSFORMATIVE MOBILITY SOLUTIONS FOR ALL","publisher":{"name":"RMI","organization":"rmi"},"document_type":"report","language":"en","date_published":"2017-05","source_url":"https://rmi.org/app/uploads/2017/05/NITI_RMI_India_Mobility_Report_2017.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"India can reduce its passenger road-based energy demand by 64% and carbon emissions by 37% by 2030 by adopting a 'transformative' mobility paradigm. This approach emphasizes a shift from private vehicle ownership to a system based on shared, electric, and connected services. The report outlines a three-phased implementation strategy (2017–2032) focusing on system integration, shared infrastructure, and scaled manufacturing. Key recommendations include establishing a central data sharing institution, implementing 'feebates' and ZEV credits, and developing standardized swappable batteries for 2- and 3-wheelers. The proposed 'change model' utilizes a national learning platform and regional 'lighthouse' change labs to scale economically viable solutions from the state to the national level.","ai_generated":true,"unit":"rmi-001006#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"By pursuing a shared, electric, and connected mobility future, India could reduce anticipated passenger road-based energy demand by 64% and carbon emissions by 37% by 2030.","ai_generated":true,"unit":"rmi-001006#insight-1","date_modified":"2026-10-23"},{"text":"The transition to a transformative mobility paradigm would result in an annual reduction of 156 Mtoe in diesel and petrol consumption by 2030, saving approximately USD 60 billion that year, with cumulative savings from 2017–2030 reaching USD 330 billion.","ai_generated":true,"unit":"rmi-001006#insight-2","date_modified":"2026-10-23"},{"text":"The report proposes a three-phased approach to change: Phase 1 (2017–2019) focuses on capturing economically viable opportunities; Phase 2 (2020–2023) scales these and refines 'nearly economic' actions; and Phase 3 (2024–2032) achieves comprehensive national adoption.","ai_generated":true,"unit":"rmi-001006#insight-3","date_modified":"2026-10-23"},{"text":"To accelerate the transition, the report recommends establishing a central data sharing institution and Unified Metropolitan Planning Authorities (UMTAs) to enable seamless booking, payment, and modal integration.","ai_generated":true,"unit":"rmi-001006#insight-4","date_modified":"2026-10-23"},{"text":"The report suggests implementing 'feebates'—revenue-neutral rebates for efficient vehicles funded by fees on inefficient ones—and Zero Emission Vehicle (ZEV) credits to incentivize manufacturers to produce cleaner fleets.","ai_generated":true,"unit":"rmi-001006#insight-5","date_modified":"2026-10-23"},{"text":"Standardized, smart, swappable batteries for 2- and 3-wheelers could reduce the initial purchase price of these vehicles by as much as 70%, targeting a segment that constitutes roughly 80% of India's domestic automobile sales.","ai_generated":true,"unit":"rmi-001006#insight-6","date_modified":"2026-10-23"},{"text":"A proposed 'change model' involves a National Learning Platform to coordinate policy and a network of state-level 'lighthouse' change labs to pilot and validate integrated system solutions before national scaling.","ai_generated":true,"unit":"rmi-001006#insight-7","date_modified":"2026-10-23"},{"text":"Integrating electric vehicles with the grid through vehicle-grid integration (VGI) and smart charging can help India meet its renewable energy targets and reduce the cost of integrating variable RE supply.","ai_generated":true,"unit":"rmi-001006#insight-8","date_modified":"2026-10-23"}],"climate_tags":["electric vehicle","shared transport","mobility as a service","renewable energy","carbon dioxide emissions","battery recycling","urban planning","public transport"],"geography_discussed":["New Delhi","Norway","France","California","Curitiba","San Francisco"],"frame_perspective":[],"analysis_type":["computational modeling","policy analysis","strategic framework"]},{"id":"iai-000490","url":"https://climateinsightsdirectory.org/document/iai-000490","title":"Condiciones ambientales afectan salud humana en la selva amazónica","publisher":{"name":"Inter-American Institute for Global Change Research","organization":"inter-american-institute-for-global-change-research"},"document_type":"fact sheet","language":"es","date_published":null,"source_url":"https://iai.int/admin/site/sites/default/files/CRN3036_PB_SP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The LUCIA project developed a computational Agent-Based Model (MBA) to simulate malaria transmission by accounting for the interactions between mosquitoes, parasites, and humans. Validated in regions of Brazil, Ecuador, and Peru, the model demonstrates that land-use changes—such as deforestation, mining, and agricultural expansion—combined with climate factors like river flooding, increase human vulnerability to malaria. Findings indicate that risk is higher for isolated homes on the outskirts of populations compared to central areas. The research suggests that managing larval breeding sites within 200 meters of populations can eliminate disease transmission, and notes that Ecuador has already modified its mining policies as a result.","ai_generated":true,"unit":"iai-000490#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Environmental changes, including climate change, migration, and land-use shifts caused by urbanization, road construction, and deforestation for agricultural and commercial expansion, facilitate the spread of vector-borne infectious diseases.","ai_generated":true,"unit":"iai-000490#insight-1","date_modified":"2026-10-23"},{"text":"An Agent-Based Model (MBA) successfully reproduced spatiotemporal variations of malaria transmission in low-endemicity environments characterized by river flooding in the Amazon regions of Brazil, Ecuador, and Peru.","ai_generated":true,"unit":"iai-000490#insight-2","date_modified":"2026-10-23"},{"text":"The model was validated in three specific western Amazon areas: northeast Ecuador (mining, indigenous populations, and settlers), Machadinho, Brazil (agricultural expansion and deforestation), and Madre de Dios, Peru (gold mining and deforestation).","ai_generated":true,"unit":"iai-000490#insight-3","date_modified":"2026-10-23"},{"text":"Research in Padre Cocha, Peru, between 1996 and 1998, showed that residents in the center of the population far from rivers face low risk, while isolated houses on the outskirts are more susceptible to malaria.","ai_generated":true,"unit":"iai-000490#insight-4","date_modified":"2026-10-23"},{"text":"Simulations indicate that eliminating larval breeding sites within an area of more than 200 meters around a population can lead to the disappearance of disease transmission; this research has already influenced changes in Ecuador's mining policies.","ai_generated":true,"unit":"iai-000490#insight-5","date_modified":"2026-10-23"}],"climate_tags":["malaria","land use","climate change","deforestation","vector-borne disease","mining","public health"],"geography_discussed":["Machadinho d'Oeste","Madre de Dios Department","Padre Cocha"],"frame_perspective":[],"analysis_type":["computational modeling","empirical validation"]},{"id":"iai-001558","url":"https://climateinsightsdirectory.org/document/iai-001558","title":"Mejorar la gobernanza de la llanura inundable en cuencas fluviales sobreconstruidas","publisher":{"name":"Inter-American Institute for Global Change Research","organization":"inter-american-institute-for-global-change-research"},"document_type":"report","language":"es","date_published":null,"source_url":"https://iai.int/pdf/es/ProjectBrief_091_es_merged.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The project investigated the Paraná river downstream of the Porto Primavera dam in Brazil to understand how flow dynamics affect large wetlands and floodplains. Using the Indicators of Hydrologic Alteration (IHA) method, researchers found that fish migration and reproduction are strongly influenced by the duration, starting date, peak, and frequency of flood events. The study also identified that professional fishing, tourism, and recreation depend on these ecosystems, though these activities often face conflicts of interest. To address these issues, the team developed a mathematical model using Stochastic Dual Dynamic Programming (SDDP) to simulate the performance of 53 hydropower plants on the river, aiming to create operating policies that optimize both energy production and ecosystem recovery.","ai_generated":true,"unit":"iai-001558#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Fish migration and reproduction are strongly influenced by four specific components of flood events: duration, starting date, peak, and frequency.","ai_generated":true,"unit":"iai-001558#insight-1","date_modified":"2026-10-23"},{"text":"The abundance of migratory fish young-of-the-year (YoY) varies according to different synthetic flow patterns, suggesting that satisfactory fish abundance can be achieved by focusing on key flow regime indicators or by exploring different patterns for ecosystem recovery.","ai_generated":true,"unit":"iai-001558#insight-2","date_modified":"2026-10-23"},{"text":"Researchers developed a computational model using Stochastic Dual Dynamic Programming (SDDP) to simulate the performance of 53 hydropower plants on the Paraná river to analyze trade-offs between energy generation and ecosystem service demands for future reservoir operating policies.","ai_generated":true,"unit":"iai-001558#insight-3","date_modified":"2026-10-23"}],"climate_tags":["hydropower","ecosystem service","water management"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["case study","computational modeling","stakeholder analysis"]},{"id":"iai-002034","url":"https://climateinsightsdirectory.org/document/iai-002034","title":"Improving the governance of the floodplain in over-built river basins","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":null,"source_url":"https://iai.int/pdf/en/SGP-HW%20091_merged.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The project 'Improving the governance of the floodplain in over-built river basins' investigates the ecological impacts of hydropower plants on the Paraná river in Brazil. Using computer modeling and the Indicators of Hydrological Alteration (IHA) method, researchers identified that fish migration and reproduction are strongly influenced by the duration, starting date, peak, and frequency of flood events. The study also highlights the dependence of local socio-economic activities, including professional fishing, tourism, and recreation, on these fish ecosystems. To resolve conflicts between energy production and environmental needs, the team simulated the performance of 53 hydropower plants using Stochastic Dual Dynamic Programming (SDDP) to develop reservoir operational policies that meet both hydropower and ecosystem service demands.","ai_generated":true,"unit":"iai-002034#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Socio-economic activities in the region, specifically professional fishing, tourism, and recreation, are directly or indirectly dependent on fish and their ecosystems, though these activities are complicated by conflicts of interest and difficulties in determining their relative importance.","ai_generated":true,"unit":"iai-002034#insight-1","date_modified":"2026-10-23"},{"text":"Using the Indicators of Hydrological Alteration (IHA) method, the research determined that four specific components of flood events—duration, starting date, peak, and frequency—strongly influence the reproduction and migration of fish.","ai_generated":true,"unit":"iai-002034#insight-2","date_modified":"2026-10-23"},{"text":"The research team developed a framework to analyze how the abundance of migratory fish young-of-the-year (YoY) responds to different flow regimes, finding that satisfactory fish abundance can be achieved by focusing on key flow regime indicators and that multiple solutions for ecosystem recovery may exist through different patterns.","ai_generated":true,"unit":"iai-002034#insight-3","date_modified":"2026-10-23"},{"text":"The project analyzed the operational and technical characteristics of 53 hydropower plants in the Paraná river using Stochastic Dual Dynamic Programming (SDDP) to simulate performance and optimize the system for both electricity generation and ecosystem services.","ai_generated":true,"unit":"iai-002034#insight-4","date_modified":"2026-10-23"}],"climate_tags":["ecosystem service"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["computational modeling","socio-economic analysis"]}]}