Journal article

A systematic approach for discovering causal dependencies between observations and incidents in the health and safety domain

Artem Polyvyanyy, Anastasiia Pika, Moe T Wynn, Arthur HM ter Hofstede

Safety Science | Elsevier BV | Published : 2019

Abstract

The paper at hand motivates, proposes, demonstrates, and evaluates a novel systematic approach to discovering causal dependencies between events encoded in large arrays of data, called causality mining. The approach has emerged in the discussions with our project partner, an Australian public energy company. It was successfully evaluated in a case study with the project partner to extract valuable, and otherwise unknown, information on the causal dependencies between observations reported by the company’s employees as part of the organizational health and safety management practices and incidents that had occurred at the organization’s sites. The dependencies were derived based on the notion..

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