Research Focus: Investigate the interaction between topic properties (e.g., question difficulty, diagnosticity of evidence) and social dynamics (network topology, communication norms). A key methodological component is the use of Bayesian, agent-based simulation environments where topics are represented via Bayesian networks to formalize argumentative relations between hypotheses and evidence. To create knowledge networks within and beyond the university is Ruhr-Universität Bochum's declared aim. * Specialization: The level of specialization should ideally be advanced PhD level, with documented research experience and strong background in social and formal epistemology, as well as -based modeling. * Formal Skills: Competence in formal methods such as Game Theory, Social Choice Theory, and Bayesian Epistemology.
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