Shaping the next one hundred years
By Robert J. Lempert, Steven W. Popper, S. Bankes. 2003
621 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management, Monitoring, Policy and Law, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/16b5082f3785eb4d9b193015ce8d485f2f57e25d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Bertrand Iooss
- Andrea Saltelli
- Stefano Tarantola
- Sam Fankhauser
- N. Strachan
- Alan L. Porter
- Simon Dietz
- Ahti Salo
In Management, Monitoring, Policy and Law
- Howard Kunreuther
- Hermann Held
- Omer Tatari
- Sam Fankhauser
- Simon Dietz
- Emanuele Borgonovo
- Elmar Plischke
- Igor Linkov
In Management Science and Operations Research
- Xin Hong
- Miguel A. P. M. Lejeune
- Luke Georghiou
- Andrea Saltelli
- Marjolijn Haasnoot
- Jan H. Kwakkel
- Qingyun Duan
- Ahti Salo
Citations in the corpus
- Sensitivity analysis of environmental models: A systematic review with practical workflow (2014, background): “…or socio-economic drivers like land use, demand for natural resource, etc., and isolate combinations that would exceed vulnerability thresholds (Lempert et al., 2003); or to quantify links between the vulnerability of a system (e.g. a catchment) and its properties (e.g. climate, hydrology, see…”
- Stochastic network design for disaster preparedness (2015, methodology): “Thus, it permits the efficient handling of a large number of scenarios, which is crucial to obtain a fine characterization of the uncertainty in humanitarian relief environments (Lempert et al., 2003; Comfort, 2005; Snyder, 2006).”
- Electric vehicle cost, emissions, and water footprint in the United States: Development of a regional optimization model (2015, background): “Most of the decisions today have to be made in a deep uncertain situation [41] where decision makers cannot agree on or do not know the relationships among the main factors of the system, the probability distribution of these varying factors, and the plausible alternative outcomes [42].”
- Adaptation in the UK: a decision-making process (2010, background): “Impact estimates are highly sensitive to these uncertainties; however, the level of long-range foresight is limited and these uncertainties are largely irreducible (Lempert et al. 2003, Adger et al. 2007).”
- Integrated Risk and Uncertainty Assessment of Climate Change Response Policies (2014, methodology): “J Lempert et al., 2004), discussed in Section 2.3, should therefore be utilized in 36 developing risk management strategies for climate change(Charlesworth and Okereke, 2010; H. 37 Kunreuther, G. Heal, et al., 2013).”
- From comparative risk assessment to multi-criteria decision analysis and adaptive management: recent developments and applications. (2006, methodology): “Additionally, the RAND Corporation (Lempert et al., 2003) recommends computer modeling and adaptive management in general as a way to help conduct long-term policy analysis.”
- Technology futures analysis: Toward integration of the field and new methods (2004, methodology): “Question: Is the model proposed by RAND [44] suitable to overcome this foresight constraint?”
- An uncertain future, deep uncertainty, scenarios, robustness and adaptation: How do they fit together? (2016, background): “conceptual approach to thinking about uncertainty is needed, which has resulted in the development of different terms that can be used to encapsulate the concept of multiple plausible futures, of which deep uncertainty (Lempert et al., 2003; Walker et al., 2013b) is arguably the most well-known.”