By Denise M. Nicholson, Dylan D. Schmorrow
This quantity explores decision-making types, together with cooperative, collaborative, avoidant, aggressive, and dominate which are often transformed through the tradition. tradition isn't really a stagnant phenomenon, and plenty of variables must be thought of to competently evaluate cultural adjustments in decision-making kinds. between many cultural components, the person (''''I'''' tradition) - collectivism (''''we'''' tradition) measurement is essentially the most very important influential issue to be thought of while learning tradition distinction, together with decision-making styles. Read more...
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Additional info for Advances in Design for Cross-Cultural Activities Part II
The Regime level includes groups that are somewhat alienated from the political center but maintain, for the most part, a commitment to contesting politics within a legal framework. Groups that are very alienated and potentially resorting to violent or other illegal forms of political contestation are found in the System level. The DPH was developed during the ICEWS program to represent well institutionalized political systems at a national level. In countries with strong political institutions there tend to be pretty clear signals about which groups control different apparatuses of power and which groups are alienated or excluded.
Hartley Consulting created the Interim Semi-Static Stability Model (ISSM) to track, monitor and understand DIME/PMESII operations [Hartley 2006]. The Sentia Group created the game-theoretic Senturion model for forecasting DIME/PMESII situations [Senturion 2011]. The Center for Army Analysis (CAA) created the Analyzing Complex Threats for Operations and Readiness (ACTOR) model to make long-term forecasts of country instability. They also developed the Near-Term Forecasts of Crisis and Instability Using Text-Based Events (NEAR-TERM FORECITE) model to make short-term forecasts of country instability using the IDEA tool.
2 Data Challenges Besides the theoretical challenges associated with a more granular agent-based model, we also encountered several challenges in collecting and using different types of data, both qualitative and quantitative. In order to build our model as accurately as possible, we had to find ways to gather low-level data on tribes, elite networks, parochial groups, small militias, and other armed groups. Open-source data gathering for the Afghanistan modeling project has been unique for us in at least two ways.