Create and release your Profile on Zintellect – Postdoctoral applicants must create an account and complete a profile in the on-line application system. Please note: your resume/CV may not exceed 2 pages.
Complete your application – Enter the rest of the information required for the IC Postdoc Program Research Opportunity. The application itself contains detailed instructions for each one of these components: availability, citizenship, transcripts, dissertation abstract, publication and presentation plan, and information about your Research Advisor co-applicant.
The principle aim of this research is to identify and employ tools and techniques in computational and social sciences in an integrated fashion to produce new insights about complex phenomena to support decisions. An integrated modeling, gaming, and simulation-based decision support system would provide an important analytic and assessment capability for better understanding dynamic interactions in complex social environments. The integration of these tools and techniques hold considerable promise for exploratory modeling1 to potentially gain better insight about options and optimal decision paths from often ambiguous information.
Attention should be placed on methods to integrate modeling, gaming, and simulation tools and technique in novel ways that can serve as a useful basis for visualizing a range of plausible policy choices and assist in the formulation of strategy. The analytical tools required for making sense of increasingly uncertain, turbulent, and complex environments2 must be able to:
Example Approaches:
Proposals may be focused on theoretical or experimental aspects of developing methods using combinations of computational social sciences models alongside traditional Delphic-techniques such as gaming and simulation in serial form.
1 Exploratory modeling, for the purposes of this request for proposals, is the use of series of modeling, gaming, and simulation to explore the implications of various assumptions and hypothesis. See, Steve Bankes, Exploratory Modeling for Policy Analysis (Santa Monica, CA: RAND Corporation, 1993).
2 See for example, Josh Kerbel, “The Complexity Challenge: The U.S. Government’s Struggle to Keep Up with the Times,” The National Interest, 26 April 2015.
3 Models, computational or otherwise, cannot successfully make point-predictions due to the extreme complexity of the world, so they must instead forecast distributional probabilities that help analysts to better comprehend the implications of potential futures and outcomes.
4 See for examples: Joshua Epstein, Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton, NJ: Princeton University Press, 2006); Robert Axelrod, The Complexity of Cooperation: Agent-Based Models of Competition and Cooperation (Princeton, NJ: Princeton University Press, 1997).
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