Eker S & Kwakkel JH (2018). Including robustness considerations in the search phase of Many-Objective Robust Decision Making. Environmental Modelling & Software 105: 201-216. DOI:10.1016/j.envsoft.2018.03.029. Many-Objective Robust Decision Making (MORDM) is a prominent model-based approach for dealing with deep uncertainty. MORDM has four phases: a systems analytical problem formulation, a search phase to generate candidate solutions, a trade-off analysis where different strategies…
Incorporating stakeholder perspectives into model-based scenarios: Exploring the futures of the Dutch gas sector (2017)
Eker S, van Daalen E, & Thissen W (2017). Incorporating stakeholder perspectives into model-based scenarios: Exploring the futures of the Dutch gas sector. Futures 93: 27-43. DOI:10.1016/j.futures.2017.08.002. Several model-based, analytical approaches have been developed recently to deal with the deep uncertainty present in situations for which futures studies are conducted. These approaches focus on…
Webinar on Innovation, Deep Uncertainty, and Strategic Foresight
On Thursday, September 27, 2018 from 1:00-2:00 PM Eastern Daylight Time (UTC -5) society members are hosting a webinar on Innovation, Deep Uncertainty, and Strategic Foresight. Learn about the Sociotechnical Systems Innovation – How does deep uncertainty influence business, government policy, and societal decision -making about innovations? Panelists include: Dr. Bruce…
Computational design optimization of concrete mixtures: A review (2018)
Citation: DeRousseau, M, J Kasprzyk, W Srubar III “Computational design optimization of concrete mixtures: A review” Cement and Concrete Research 109: 42-53. https://doi.org/10.1016/j.cemconres.2018.04.007 Abstract: A comprehensive review of optimization research concerning the design and proportioning of concrete mixtures is presented herein. Mixture design optimization is motivated by an ever-increasing need for designers and decision-makers to…
Diagnostic Assessment of Preference Constraints for Simulation Optimization in Water Resources (2018)
Citation: Clarkin, T, W Raseman, J Kasprzyk, J Herman. “Diagnostic Assessment of Preference Constraints for Simulation Optimization in Water Resources” Journal of Water Resources Planning and Management, 144(8): 04018036. Abstract: Simulation-optimization frameworks, such as multiobjective evolutionary algorithms (MOEAs), are increasingly used for real-world water resources problems. Constraints in MOEA optimization commonly…
Examining values and influences affecting public expectations of future urban mobility: A Singapore case study
Kurniawan, J. H., Ong, C., & Cheah, L. (2018). Examining values and influences affecting public expectations of future urban mobility: A Singapore case study. Transport Policy. https://doi.org/10.1016/j.tranpol.2017.12.014 This paper presents a qualitative study of two focus group discussions on Singapore’s state of current and future urban mobility. The findings of this study,…
Strategic adaptation pathway planning to manage sea-level rise and changing coastal flood risk (2018)
Ramm, TD, Watson, CS & White, CJ 2018, ‘Strategic adaptation pathway planning to manage sea-level rise and changing coastal flood risk’, Environmental Science & Policy, vol. 87, pp. 92-101. Communities around the world are already committed to future sea-level rise. Long-term adaptation planning to manage associated coastal flood impacts is,…
Real‐options water supply planning: Multistage scenario trees for adaptive and flexible capacity expansion under probabilistic climate change uncertainty (2018)
Erfani T., K. Pachos, and J. Harou. (2018), Real‐options water supply planning: Multistage scenario trees for adaptive and flexible capacity expansion under probabilistic climate change uncertainty, Water Resour. Res.. https://doi.org/10.1029/2017WR021803 Planning water supply infrastructure includes identifying interventions that cost‐effectively secure an acceptably reliable water supply. Climate change is a source…