Researchers at The University of Texas at Dallas say drone technology has the potential to be a genuine game changer in the retail industry, with its promise to enable retailers to offer unheard-of delivery lead times and near-perfect delivery-time customization adaptability.

Inspired by the same modeling and mathematical laws used to predict the spread of pandemics, researchers at Texas A&M University have created a model to accurately forecast the spread and recession process of floodwaters in urban road networks. 

A new study conducted by a team of researchers, including University of Colorado Denver Business School associate professor Jiban Khuntia, PhD, found while social distancing is an effective preventative measure in the fight against COVID-19, there are significant variations being observed in how and why individuals follow the restrictions.

In Nature Climate Change paper, researchers say the world needs to consider tradeoffs of untested technologies before dismissing known options such as immediate carbon emissions reductions.

A study conducted by Associate Professor Alberto Salvo from NUS Economics revealed that households respond to ambient air pollution by increasing electricity consumption, which in turn increases the carbon emissions that are co-produced in supplying the electricity. 

Study finds improved air quality would avoid health and climate damages.

A Q&A with Berkeley Lab scientist William Riley on the challenges in estimating methane emissions from wetlands and how nuanced computer models may help.

Metal-rich sediment is mixed into the water column each spring and fall

A new federal task force has submitted recommendations that will be the basis for a strategy to help level the playing field for the U.S. seafood exporters and importers when doing business with other countries.

Researchers examine food supply chain resiliency in the Pacific during the COVID-19 pandemic.