Integrated Environmental Modelling: Human decisions, human challenges

Geological Society of London Special Publications
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Abstract

Integrated Environmental Modelling (IEM) is an invaluable tool for understanding the complex, dynamic ecosystems that house our natural resources and control our environments. Human behaviour affects the ways in which the science of IEM is assembled and used for meaningful societal applications. In particular, human biases and heuristics reflect adaptation and experiential learning to issues with frequent, sharply distinguished, feedbacks. Unfortunately, human behaviour is not adapted to the more diffusely experienced problems that IEM typically seeks to address. Twelve biases are identified that affect IEM (and science in general). These biases are supported by personal observations and by the findings of behavioural scientists. A process for critical analysis is proposed that addresses some human challenges of IEM and solicits explicit description of (1) represented processes and information, (2) unrepresented processes and information, and (3) accounting for, and cognizance of, potential human biases. Several other suggestions are also made that generally complement maintaining attitudes of watchful humility, open-mindedness, honesty and transparent accountability. These suggestions include (1) creating a new area of study in the behavioural biogeosciences, (2) using structured processes for engaging the modelling and stakeholder communities in IEM, and (3) using ‘red teams’ to increase resilience of IEM constructs and use.

Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Integrated Environmental Modelling: Human decisions, human challenges
Series title Geological Society of London Special Publications
DOI 10.1144/SP408.9
Volume 408
Year Published 2015
Language English
Publisher The Geological Society of London
Contributing office(s) National Research Program - Eastern Branch
Description 22 p.
Online Only (Y/N) N
Additional Online Files (Y/N) N