Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …

In recent years, machine learning has proven to be a powerful tool for deriving insights from
data. In this review, we describe ways in which machine learning has been leveraged to …

Proposed hydropower dams at more than 350 sites throughout the Amazon require strategic
evaluation of trade-offs between the numerous ecosystem services provided by Earth's …

Computational sustainability: computing for a better world and a sustainable future Page 1 56
COMMUNICATIONS OF THE ACM | SEPTEMBER 2019 | VOL. 62 | NO. 9 Computational …

Artificial intelligence for social good (AI4SG) is a research theme that aims to use and
advance artificial intelligence to address societal issues and improve the well-being of the …

Hydropower continues to expand globally as the power sector transitions away from carbon-
intensive fossil fuels. New dam sites vary widely in the magnitude of their adverse effects on …

Evaluating the reliability of intelligent physical systems against rare safety-critical events
poses a huge testing burden for real-world applications. Simulation provides a useful …

Energy development–as manifested by the proliferation of hydroelectric dams and increased
oil and gas exploration–is a driver of change in Amazonian ecosystems. However …

Sustainability challenges inherently involve the consideration of multiple competing
objectives. The Pareto frontier–the set of all optimal solutions that cannot be improved with …

The main concern of Metering Systems Planning (MSP) for state estimation is the
determination of the number, type and location to install metering devices to attend …