My research solves the hard problems for your team.
My work draws from over 40 years of research into Resilience Engineering, Naturalistic Decision Making, Cognitive Systems Engineering, and Human Performance improvement. Using proven research techniques, I can help identify the sources of your organization’s toughest problems.
I bring deep expertise in applying evidence-based and sustainable performance improvement innovations. Working collaboratively with your team, I build flexible, adaptive solutions to increase productivity, improve employee satisfaction, and strengthen teamwork.
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After 15 years working in safety and risk management in natural resource industries in Canada, Dr. Laura Maguire began studying new ways of supporting front-line practitioners in high hazard work and in organizing and designing work systems to enable safe, productive operations through the lens of resilience engineering. She brings a grounded and adaptable approach to studying users that helps define clear problem statements and facilitates collaborative work across multiple stakeholder groups to find integrated process and product solutions.
About Laura
All systems run in degraded modes, and this means failures can be difficult to predict. Therefore, adaptability is key for dealing with unexpected events. Adaptability supports resilience. Both reliability and resilience are needed for ever increasing speed and scale. Read the full article at ieee.org
Aug 6 2025 Read more
The Resilience Engineering Association (REA) celebrates the 20th anniversary of the creation of Resilience Engineering, as a field of theory and practice, by strategically reflecting on progress made, challenges and future opportunities. To this end, the Resilience Engineering Association will publish a book that will collect contributions on progress and challenges and opportunities in the […]
Dec 24 2024 Read more
The introduction of Artifical Intelligence into software operations can have unintended consequences on software safety & reliability. Closer examination and realistic expectations of human and machine capabilities, along with thoughtful interaction design can produce safe, productive human-machine teams. Read the full article at ieee.org
Dec 4 2024 Read more
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