Authors
Moallemi, EA, Zare, F, Reed, PM, Elsawah, S, Ryan, MJ & Bryan, BA [2019]
Article Summary
The following was undertaken to design a fit-for-purpose implementation of robust decision support in complex environmental systems:
An analytical review of a broad array of methodological constructs in designing robust decision support, building on previous taxonomies of J. Herman et al. 2015 and Kwakkel, J & Haasnoot, M 2019.
Evaluation of interdependencies of methodological choices consistent with available knowledge
Analysis of the effects of critical human factors, biases, and values on the design of decision support
Outcomes in this review paper demonstrate that computer algorithms are helpful in decision support for challenging our conventional wisdom. The human co-production of information is also critical for creating shared stakes and changing perceptions.