Visiting Assistant Professor of Environmental Studies Caitlin McDonough MacKenzie has coauthored a paper, “Recurrent neural network reveals overwhelming sentiment against 2017 review of US monuments from humans and bots,” published in the journal Conservation Letters. “US federal agencies solicit public comments to scope for ideas, solve problems, and use the best available science for policy‐making, legislation, and management,” writes the authors in their abstract. Using machine learning techniques, the study analyzes “comments received by the Department of the Interior in response to the proposed executive review of 27 national monuments designated and expanded between 1996 and 2016.”