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Fulfilling the promise of the 2015 Paris Agreement on climate change — most notably the goal of limiting the rise in mean global surface temperature since preindustrial times to 2 degrees Celsius — will require a dramatic transition away from fossil fuels and toward low-carbon energy sources. To map out that transition, decision-makers routinely turn to energy scenarios, which use computational models to project changes to the energy mix that will be needed to meet climate and environmental targets. These models account for not only technological, economic, demographic, political, and institutional developments, but also the scope, timing, and stringency of policies to reduce greenhouse gas emissions and air pollution.

Aerial tree mortality surveys show patterns of tree death during extreme drought.

Why do some trees die in a drought and others don’t? And how can we predict where trees are most likely to die in future droughts?

The water cycle, the process by which water circulates through the planet’s atmosphere and waterways, helps make life here on Earth possible.

Climate change, however, caused by excessive greenhouse gas emissions, is disrupting that process. It’s creating a vicious cycle in which higher temperatures, changes in rainfall and water contamination cause environmental consequences that make global warming worse and damage the health of the planet further.

When epidemiological data are scarce, social media and Internet reports can be reliable tools for forecasting infectious disease outbreaks, according to a study led by an expert in the School of Public Health at Georgia State University.

“Our study offers proof of concept that publicly available online reports released in real-time by ministries of health, local surveillance systems, the World Health Organization and authoritative media outlets are useful to identify key information on exposure and transmission patterns during epidemic emergencies,” the researchers said. “Our Internet-based findings on exposure patterns are in good agreement with those derived from traditional epidemiological surveillance data, which can be available after considerable delays.”

Researchers at Mayo Clinic have identified a genetic promoter of cancer that drives a major form of lung cancer. In a new paper published this week in Cancer Cell, Mayo Clinic researchers provide genetic evidence that Ect2 drives lung adenocarcinoma tumor formation.