Pierre D. Glynn

TL;DR: This paper organizes and presents the results of a number of workshops held that brought IEM practitioners together to share experiences and discuss future needs and directions, and presents IEM as a landscape containing four interdependent elements: applications, science, technology, and community.

TL;DR: Modelling with Stakeholders is updated and builds on Voinov and Bousquet, 2010, and structured mechanisms to examine and account for human biases and beliefs in participatory modelling are suggested.

TL;DR: Putting more thought into the method selection process and choosing the most appropriate method for the project can produce better results, according to expert opinion and a survey of modelers engaged in participatory processes.

TL;DR: In this paper, a thermodynamic perspective is offered that could facilitate the comparison and understanding of the multiple physical, chemical, and biological processes affecting ground-water systems, and the best approach will ensure an optimized iterative process between field data collection and analysis, interpretation and the application of forward, inverse, and statistical modeling tools.