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A team of data scientists led by the University of Minnesota’s Twin Cities has published the first comprehensive global dataset of lakes and reservoirs on Earth showing how they have changed over the past 30 years. The data will provide environmental researchers with new information about land and freshwater use and how lakes and reservoirs are affected by humans and climate change. This research is also a major advance in machine learning techniques. A paper highlighting the Reservoir and Lake Surface Area Timeseries (ReaLSAT) data set was recently published in Scientific Data, a peer-reviewed open access journal published by Nature. Study highlights include: The RealLSAT dataset contains location and surface area variations of 681,137 lakes and reservoirs greater than 0.1 square kilometers south of 50 degrees north latitude. The previous most comprehensive database, called HydroLAKES, has identified only 245,420 lakes and reservoirs for this part of the world and the minimum size c

“PANDEMIC” is the word for 2020 according to the Merriam–Webster dictionary. No wonder, as the global COVID-19 pandemic has transformed our entire society and exposed some of the darker aspects of human nature. There is now well-established research showing that the pandemic has exaggerated and amplified pre-existing structural biases and systemic inequities in health systems. Many of the structural drivers of health-related behaviors and outcomes such as racism have been broadly characterized, including the way the COVID-19 pandemic exacerbates these drivers. But far less attention has been paid to the role of organizational and systemic factors related to goodness. The COVID-19 pandemic is revealing the unsettling truth about the issue of goodness in health. Health care workers experienced significantly more COVID-19-related bullying than people who did not work in health care settings after controlling for confounding effects, according to a study from 173 countries. Another stud