Boston Green Action members frequently author articles on a range of issues pertaining to climate action. We proudly present some of our notable perspectives, along with research findings that we champion.
An ENREAST report from last April highlights the progress that Massachusetts and New York are making in allowing regulated utilities to develop geothermal energy network pilot projects. The goal: “utility-scale clean energy delivery.”
GBH News Reporter Liz Neisloss had long wondered why, in an era of crippling housing shortages, we can’t turn office spaces into living spaces. When Boston launched its office conversion program, she followed the progress over a year and a half and filed this report.
Boston University’s School of Public Health and the Institute for Global Sustainability (IGS) have released a new study that reveals the “sprawling energy infrastructure network that’s largely hidden from view and in close proximity to millions of Americans. They found that 46.6 million people in the contiguous United States, many in cities, live within about a mile of at least one piece of fossil fuel infrastructure—and that it could be putting their health at risk.
Writing for The River, Brian K. Mahoney reviews a new book by former EPA official Judith Enck entitled The Problem with Plastic: How We Can Save Ourselves and the Planet Before It’s Too Late. Enck makes the case that plastic pollution isn’t just a matter of personal responsibility. We haven’t all failed to recycle, reuse, and reduce. This narrative, she writes, has been developed to allow the plastics industry—fossil fuel and chemical—to perpetrate environmental injustice.
A new study by the Woods Hole Oceanographic Institute contradicts a July, 2025 report form the US Department of Energy that found no evidence of climate-related impacts on sea level rises. The WHOI researchers have reached a dramatically different conclusion.
A new report by the MIT Climate Grand Challenges team reveals that simple, science-based climate prediction models can outperform deep-learning approaches when predicting future temperature changes. Deep learning does have great potential for estimating more complex variables like rainfall.
