Vermont EPSCoR Publications and Products


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Koliba C, Meek J. Mapping the Communities of Practice of Public Administrators. In: Handbook of Collaborative Public Management. Handbook of Collaborative Public Management. Cheltenham, UK: Edward Elgar Publishing; 2021. Available from: https://www.e-elgar.com/shop/usd/handbook-of-collaborative-public-management-9781789901900.html
Xu Y, Boeing WJ. Mapping biofuel field: A bibliometric evaluation of research output. Renewable and Sustainable Energy Reviews. 2013 [cited 0BC];28:82 - 91.
Adair EC, Barbieri L, Schiavone K, Darby H. Manure Application Decisions Impact Nitrous Oxide and Carbon Dioxide Emissions during Non-Growing Season Thaws. Soil Science Society of America Journal [Internet]. 2019 . Available from: https://dl.sciencesocieties.org/publications/sssaj/articles/0/0/sssaj2018.07.0248
Koliba C, Koopenjan J. Managing Networks as Complex Adaptive Systems. In: Public Management and governance. 3rdrd ed. Public Management and governance. New York: Routledge Press; 2015.
Zia A, Wagner CH. Mainstreaming Early Warning Systems in Development and Planning Processes: Multilevel Implementation of Sendai Framework in Indus and Sahel. International Journal of Disaster Risk Science [Internet]. 2015 . Available from: http://link.springer.com/10.1007/s13753-015-0048-3http://link.springer.com/content/pdf/10.1007/s13753-015-0048-3
Tharp R, Westhelle K, Hurley S. Macrophyte performance in floating treatment wetlands on a suburban stormwater pond: Implications for cold climate conditions. Ecological Engineering [Internet]. 2019 ;136:152 - 159. Available from: https://www.sciencedirect.com/science/article/pii/S0925857419302083
McCabe DJ, Roberge J, Wieland L, Clemins PJ, Exler S, Pontius EHayes, Gamache L, Benedetto E, Gould J, Mai M, et al. MacroInvertebrates 2.0. [Internet]. 2016 . Available from: https://itunes.apple.com/us/app/macroinvertebrates/id895060595?mt=8
Rodgers M, Clemins PJ, McCabe DJ, Koirala B, Fox G, Lakea L. Macroinvertebrate Field Guide. [Internet]. 2017 . Available from: https://play.google.com/store/apps/details?id=edu.uvm.epscor.macroinvertebrates&hl=en
Underwood KL, Rizzo DM, Hanley JP, Sterle G, Harpold A, Adler T, Li L, Wen H, Perdrial JN. Machine‐Learning Reveals Equifinality in Drivers of Stream DOC Concentration at Continental ScalesAbstractKey Points. Water Resources Research [Internet]. 2023 ;59(3). Available from: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2021WR030551
Zia A. Machine learning how human risk perceptions shape behavior: Comparing a diversity of learning approaches to predict how climate risk perceptions lead to green behaviors for the US Population. In: 4th Annual BayesiaLab Conference. 4th Annual BayesiaLab Conference. Nashville, TN; 2016. Available from: http://www.bayesia.com/2016-conference-zia
Gramling B, Rizzo DM, Eppstein MJ, Demarest B. Machine Learning Analysis of Serious Illness Conversations Predicts Patient Reports of Feeling Heard & Understood. In: 51st NAPCRG (North American Primary Care Research Group) Annual Meeting. 51st NAPCRG (North American Primary Care Research Group) Annual Meeting. San Francisco, CA: North American Primary Care Research Group (NAPCRG); 2023. Available from: https://napcrg.org/conferences/2017/sessions/5279
Zia A, Lacasse K, Fefferman N, Beckage B, Gross L. Machine Learning a Probabilistic Structural Equation Model to Explain the Impact of Climate Risk Perceptions on Policy Support. In: 2021 Bratislava Conference Earth System Governance. 2021 Bratislava Conference Earth System Governance. Bratislava, Slovakia: Earth System Governance; 2021. Available from: https://www.earthsystemgovernance.org/2021bratislava/wp-content/uploads/2021/09/20210907-Book-of-Abstracts-.pdf

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