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Using machine learning to advance synthesis and use of conservation and environmental evidence
Authors:SH Cheng  C Augustin  A Bethel  D Gill  S Anzaroot  J Brun  B DeWilde  RC Minnich  R Garside  YJ Masuda  DC Miller  D Wilkie  S Wongbusarakum  MC McKinnon
Affiliation:1. National Center for Ecological Analysis and Synthesis, University of California, Santa Barbara, CA 93101, U.S.A.;2. DataKind, New York, NY, U.S.A.;3. University of Exeter Medical School, Exeter, U.K.;4. Conservation International, Arlington, VA 22202, U.S.A.;5. Environmental Science and Policy, George Mason University, Fairfax, VA 22030, U.S.A.;6. European Centre for Environment and Human Health, University of Exeter, Truro, Cornwall, U.K.;7. The Nature Conservancy, Arlington, VA 22203, U.S.A.;8. Department of Natural Resources and Environmental Sciences, University of Illinois, Urbana, IL 61801, U.S.A.;9. Wildlife Conservation Society, Bronx, NY 10460, U.S.A.;10. Social Science Research Institute, University of Hawaii, Honolulu, HI 96822, U.S.A.;11. Vulcan, Inc., Seattle, WA 98104, U.S.A.
Abstract:
Keywords:
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