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Crossing the death valley to transfer environmental decision support systems to the water market

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Poch Espallargas, Manel
Comas Matas, Joaquim
Cortés García, Claudio UlisesMés informacióMés informacióMés informació
Sànchez-Marrè, MiquelMés informacióMés informacióMés informació
Rodriguez-Roda, Ignasi
Document typeArticle
Defense date2017-04-10
Rights accessOpen Access
Attribution 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution 3.0 Spain
ProjectDESTINO DE MICROCONTAMINANTES Y PRODUCTOS DE DESINFECCION EN BIORREACTORES DE MEMBRANAS Y OSMOSIS INVERSA O NANOFILTRACION SEGUIDO DE DESINFECCION. (MINECO-CTM2012-38314-C02-01)
RESILIENCIA DE LOS SISTEMAS DE SANEAMIENTO A DESAFIOS EMERGENTES: DE LA GENERACION DE CONOCIMIENTO A LA MEJORA DE LA GESTION INTEGRADA (MINECO-CTM2015-66892-R)
Abstract
Environmental decision support systems (EDSSs) are attractive tools to cope with the complexity of environmental global challenges. Several thoughtful reviews have analyzed EDSSs to identify the key challenges and best practices for their development. One of the major criticisms is that a wide and generalized use of deployed EDSSs has not been observed. The paper briefly describes and compares four case studies of EDSSs applied to the water domain, where the key aspects involved in the initial conception and the use and transfer evolution that determine the final success or failure of these tools (i.e., market uptake) are identified. Those aspects that contribute to bridging the gap between the EDSS science and the EDSS market are highlighted in the manuscript. Experience suggests that the construction of a successful EDSS should focus significant efforts on crossing the death-valley toward a general use implementation by society (the market) rather than on development.
CitationPoch, M., Comas, J., Cortés, C., Sànchez-Marrè, M., Rodríguez-Roda, I. Crossing the death valley to transfer environmental decision support systems to the water market. "Global challenges", 10 Abril 2017, vol. 1, núm. 3, p. 1700009-1-1700009-10. 
URIhttp://hdl.handle.net/2117/103954
DOI10.1002/gch2.201700009
ISSN2056-6646
Publisher versionhttp://onlinelibrary.wiley.com/doi/10.1002/gch2.201700009/full
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  • Computer Sciences - Articles de revista [277]
  • Departament de Ciències de la Computació - Articles de revista [954]
  • KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic - Articles de revista [112]
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