Reliability and resilience
Understanding and considering the interdependency between various work activities that makes up our complex work environments so they are designed and managed to be safer and more resilient.
Complexity is an increasing aspect of a technologically advanced, digitally-driven and interconnected economies and societies. Research areas include the human-machine interface within complex systems; management and design strategies to increase safety and resilience within these; and detection and management of failure. Advances in these areas will include exploiting opportunities created by faster detection and delivery of smarter systems for the world of work, as well as governance and cultural opportunities to design and manage more resilient systems.
This interdisciplinary theme builds on and accommodates research in many other areas. It links to management studies, psychology and research areas addressing trans-boundary questions of digital-machine-human interfaces or complexity. It considers both the issues of resilience and risk in the systems themselves, as well as identifies and assesses potential interventions. In particular it will consider how a resilient regulatory regime can be designed for complex systems rather than individual components.
- Richard Kirkham, The University of Manchester
- Matt Clay, HSE
- David Ling
- Phoebe Young
- UoM and Project X contributed to House of Commons Science and Technology Committee - A new UK research funding agency
- Keeping the UK Building Safely (KUBS) mobilising the resources/capabilities of UoM and HSE science division to help enable UK to build safely at speed – a scoping study
- Building safety network – EPSRC Network Grant.
- Developing a new ‘Ashton module’ on the BEng/MEng Civil Engineering and MSc Construction and Engineering Project Management using the NEBOSH standard.
- Project and programme research centres: Lessons for scholarship, policy and practice
- An empirical study of assurance in the UK government major projects portfolio: from data to recommendations, to action or inaction
- Framing risk and uncertainty in the context of projects: Perspectives on decision-making
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