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The Lac-Mégantic oil Spill and tragedy:

Lessons for the public sector

Background

What do we know about crises?

Critical infrastructures?

Where are the gaps?

Are there phenomenon that can't be explained?

Background / Research problems

Anomalies

Anomalies

Regression :

Fold back to destructive logics

Sentinels:

Misled? Unable to play their part?

Objective

Aims

To model the systemic dynamics that enhance or inhibit vigilance in a critical infrastructure network.

- make sense of anomalies

- provide management framework

adapted to contemporary public sector realities & challenges

Methods

Methods

Coding technique

Comparative matrix

Data collection methods

« Grounded theory »

Analysis

Analysis

Emerging/unexplained phenomena

Emerging/unexplained phenomena

  • Learning blockages / Reflexivity deficit
  • Deficiencies within the regulatory regime
  • monitoring issue (indirect, long term effects)
  • complexity not encompassed
  • interdependencies between economic policy, safety levels, prevention potential.

Dynamism of concurring imperatives within t...

Dynamism of concurring imperatives within the detection of weak signals of crisis

Functionning of the multilevel models

First level: individual

Second level: groups

Third level: organizations

Fourth level: network (system)

Discussion

Discussion

Theoretical implications

Theoretical implications

Encompassing regression at multiple levels

Readiness for change

Elements of multi-level sensemaking

Public oversight practices implications

Public oversight practices implications

Mobilization is a

process of resource selection

Stagnation and regression are a forms of disengagement towards safety and vigilance

Reconciliating efficiency-safety dilemma by reframing risks

Critical infrastructure protection governan...

Critical infrastructure protection governance implications

Power (im)balances and long term costs of self-regulation

Reflexive spaces and constructive deviance

Double-loop learning

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