Risk Identification & Quantification in Complex Human-Natural Systems via Convergent Data Intensive Research

Knowledge Discovery and Data Mining(2021)

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摘要
ABSTRACTHuman-natural systems involve complex interdependent processes, but domain specific processes are traditionally studied in non-overlapping research silos. The Predictive Risk Investigation SysteM (PRISM) for multi-layer dynamic interconnection analysis is a group of collaborators across multiple domains who work to discover data driven connections specifically among domain risks. We bring our inter-disciplinary approach to risk assessment to our KDD'21 workshop. Our workshop is a step toward a holistic approach to systemic risk analysis by welcoming speakers in applied and technical research at the forefront of risk and complex systems.
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关键词
associated anomalies, complex systems, data-intensive risk assessment, human-natural systems, systemic risk, volatility
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