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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.

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.

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.

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.