Making clean energy investments more successful
Tools for forecasting and modeling technological improvements and the impacts of policy decisions can result in more effective and impactful decision-making. More
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- in Environment
When companies “go green,” air quality impacts can vary dramatically
Cutting air travel and purchasing renewable energy can lead to different effects on overall air quality, even while achieving the same CO2 reduction, new research shows. More
- in Environment
MIT Sea Grant students explore the intersection of technology and offshore aquaculture in Norway
AquaCulture Shock program, in collaboration with MIT-Scandinavia MISTI, offers international internships for AI and autonomy in aquaculture More
- in Environment
3 Questions: How AI is helping us monitor and support vulnerable ecosystems
MIT PhD student and CSAIL researcher Justin Kay describes his work combining AI and computer vision systems to monitor the ecosystems that support our planet. More
- in Security
Optimizing food subsidies: Applying digital platforms to maximize nutrition
An algorithm can change the face of food assistance policy in the Global South, says MIT assistant professor and J-WAFS researcher Ali Aouad. More
- in Environment
Report: Sustainability in supply chains is still a firm-level priority
Analysis from MIT’s Center for Transportation and Logistics finds companies are still acting to reduce emissions, but often lag in measurement techniques. More
- in Energy
Climate Action Learning Lab helps state and local leaders identify and implement effective climate mitigation strategies
J-PAL North America’s inaugural Climate Action Learning Lab provided six U.S. cities and states with customized training and resources to leverage data and evaluation to advance climate solutions that work. More
- in Environment
Simpler models can outperform deep learning at climate prediction
New research shows the natural variability in climate data can cause AI models to struggle at predicting local temperature and rainfall. More
