Vermont EPSCoR Publications and Products
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Author [ Title] Type Year Filters: Author is Christopher Koliba and First Letter Of Title is S [Clear All Filters]
The salience and complexity of building, regulating, and governing the smart grid: Lessons from a statewide public–private partnership. Energy Policy [Internet]. 2014 ;74:243 - 252. Available from: http://linkinghub.elsevier.com/retrieve/pii/S0301421514005047
. Scale and intensity of collaboration as determinants of performance management gaps in polycentric governance networks: Evidence from a national survey of metropolitan planning organisations (MPOs). Policy & Politics [Internet]. 2015 . Available from: http://www.ingentaconnect.com/content/tpp/pap/2015/00000043/00000003/art00004?token=004d10595c5f3b3b47465248743b3e4523792f7b384f582a2f433e402c3568263c2bba1831a3c
. Scale and intensity of collaboration as determinants of performance management gaps in polycentric governance networks: evidence from a national survey of metropolitan planning organisations. In: How does collaborative governance scale? How does collaborative governance scale? Bristol, UK: Policy Press and Bristol University Press; 2018. Available from: https://policy.bristoluniversitypress.co.uk/how-does-collaborative-governance-scale
. Seeking Simple Models of Highly Nuanced Systems: Building a Model of Water Quality Management. In: Annual Conference of the Association of Public Policy Analysis and Management (APPAM). Annual Conference of the Association of Public Policy Analysis and Management (APPAM). Washington DC; 2013. Available from: https://appam.confex.com/data/extendedabstract/appam/2013/Paper_7346_extendedabstract_347_0.pdf
. . Serious Games: Data gathering, complex systems analysis and nudging. In: Northeast Conference on Public Administration (NECOPA). Northeast Conference on Public Administration (NECOPA). Burlington, VT: Northeast Conference on Public Administration (NECOPA); 2017.
. The Shape of Watershed Governance: Locating the Boundaries of Multiplex Networks. Complexity, Governance & Networks [Internet]. 2015 ;2(1). Available from: http://www.cgnj.info/index.php?option=com_content&view=article&id=189%3Adoi-10756415-cgn25&catid=49%3Acomplexity-governance-networks&Itemid=218&lang=en
. The Shape of Watershed Governance: Watershed Governance Implementation Networks. In: American Public Policy and Management Annual Conference. American Public Policy and Management Annual Conference. Albuquerque, NM; 2014.
. The Shape of Watershed Governance: What Longitudinal Network Analysis Can Tell Us About the Relationship Between Network Structures and Functions. In: American Society for Public Administration (ASPA). American Society for Public Administration (ASPA). Atlanta, GA: American Society for Public Administration (ASPA); 2017.
. Simulating Land-Use Land Cover Change (LULCC) at Watershed Scales under Heterogeneous Policy Designs: An Agent Based Model of Missisquoi Watershed in the Lake Champlain Basin, 2000-2040. In: SwarmFest 2015. SwarmFest 2015. Columbia, SC; 2015. Available from: http://www.swarmfest2015.org/?page_id=14
. Social-Psychological Determinants of Farmer Intention to Adopt Nutrient Best Management Practices: Implications for Resilient Adaptation to Climate Change in the Lake Champlain Basin. In: NALMS 2019 (39th International Symposium of the North American Lake Management Society). NALMS 2019 (39th International Symposium of the North American Lake Management Society). Burlington, VT: North American Lake Management Society (NALMS); 2019. Available from: https://www.nalms.org/nalms2019/
. Social-psychological determinants of farmer intention to adopt nutrient best management practices: Implications for resilient adaptation to climate change. Journal of Environmental Management [Internet]. 2020 ;276:111304. Available from: https://www.sciencedirect.com/science/article/pii/S0301479720312287
. Spatial effects of sensor information in inducing cooperative behaviors for managing non-point source pollution: Evidence from a decision game in an idealized watershed. Ecological Economics. Under Review .
System Dynamics Modeling Can be Leveraged to Predict Critical Care Pathways and Costs for End Stage Renal Disease: US Population to 2020. Journal of Health Economics and Outcomes Research [Internet]. 2015 ;3(1):24 - 33. Available from: https://jheor.org/article/9839-system-dynamics-modeling-can-be-leveraged-to-predict-critical-care-pathways-and-costs-for-end-stage-renal-disease-us-population-to-2020
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