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

Abstract

Human-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.

Publication
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, pp. 4155–4156, https://doi.org/10.1145/3447548.3469480