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The objective

The Project Group “Resilience Engineering and Modelling of Networked Infrastructure” will develop a forum of leading researchers from academia and industry to work on projects relevant to Resilience Engineering for Networked Systems.

We will produce a technical reference text which will document the current state-of-the-art along with the advances made over the duration of the project, in the aspects of Resilience Engineering that have been the focus of the work.

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ESReDA Project Group on Critical Infrastructure Preparedness and Resilience: Data for Modelling, Simulation & Analysis CI‐PR / MS&A‐Data


The project group “CI‐PR/MS&A‐Data” will establish a comprehensive technical document on the existing Data and models that have been developed and are used in the fields of the CIP. Establishing a comprehensive state‐of‐the‐art may hopefully lead to identifying lacks and measures to complete lacking data or lacking organisation to acquire data.

Download Data for Modelling, Simulation & Analysis CI‐PR / MS&A‐Data (PDF)

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Dynamic Learning from Accidents

Bridging the gap between accident investigations and learning

We need to investigate accidents. To get feedback from reality. To understand what went right and what went wrong. To determine how mishaps can be prevented in the future and successes can be disseminated.

We are willing to learn from mistakes and to avoid repeating them. We choose to start in reality, not in modeling or theories. We start with the unexpected, the unforeseen. We do not primarily create barriers for repetition of similar accidents, but try to remove barriers for learning in order to understand why systems function as they do and what can be done about the situation.

Why, then, do accidents repeat themselves? Why can accidents, incidents and undesirable events emerge as unforeseen surprises? Technology, organizations and people failed to execute what was originally planned, were unaware of limitations and assumptions and did what they thought was reasonable.

Continue reading “Dynamic Learning as the Follow-up from Accident Investigations”