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Selection: Quinn:N [3 articles] 

Publications by author Quinn:N.

Integrated environmental modeling: a vision and roadmap for the future

Environmental Modelling & Software, Vol. 39 (January 2013), pp. 3-23,


Integrated environmental modeling (IEM) is inspired by modern environmental problems, decisions, and policies and enabled by transdisciplinary science and computer capabilities that allow the environment to be considered in a holistic way. The problems are characterized by the extent of the environmental system involved, dynamic and interdependent nature of stressors and their impacts, diversity of stakeholders, and integration of social, economic, and environmental considerations. IEM provides a science-based structure to develop and organize relevant knowledge and information and apply it to ...


The SmartH2O project and the role of social computing in promoting efficient residential water use: a first analysis

In Proceedings of the 7th International Congress on Environmental Modelling and Software, June 15-19, San Diego, California, USA (2014)


SmartH2O is an EU funded project which aims at creating a virtuous feedback cycle between water users and the utilities, providing users information on their consumption in quasi real time, and thus enabling water utilities to plan and implement strategies to reduce/reallocate water consumption. Traditional metering data, usually gathered twice a year, can be used to model consumers’ behaviour at an aggregate level, but the motivations and individual attitudes of consumers are hidden. The advent of smart water meters allows gathering high frequency consumption data that ...


W(h)ither the Oracle? Cognitive biases and other human challenges of integrated environmental modeling

In Proceedings of the 7th International Congress on Environmental Modelling and Software, June 15-19, San Diego, California, USA (2014), 113


Integrated environmental modeling (IEM) can organize and increase our knowledge of the complex, dynamic ecosystems that house our natural resources and control the quality of our environments. Human behavior, however, must be taken into account. Human biases/heuristics reflect adaptation over our evolutionary past to frequently experienced situations that affected our survival and that provided sharply distinguished feedbacks at the level of the individual. Unfortunately, human behavior is not adapted to the more diffusely experienced, less frequently encountered, problems and issues that ...

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