The Centre for Innovative Human Systems (CIHS) brings together a critical multidisciplinary RTD capability in process innovation, development and application of new technologies, and managing risk and organisational change and brings together staff with backgrounds in Psychology, Business and Organisational Behaviour, Engineering, Computer Science, and Health Sciences. CIHS is based in the School of Psychology at Trinity College Dublin, and has a wide range of experience of both qualitative and quantitative HF and organisational assessment methods. CIHS have developed a comprehensive HF and operational assessment methodology for use in systems design, technology evaluation, operational evaluation and change management assessment and evaluation. The Centre for Innovative Human Systems (CIHS) is currently involved in a number of projects in the areas of healthcare, transport and human factors and brings this cutting edge research to its training programmes.
Organisations want to be able to manage the risks that they face in a manner that is coherent, comprehensive, and effective. Excellence in operational risk management means going beyond regulatory compliance and reacting to specific incidents or events; it implies being able to muster the evidence to support the transformation of system performance to meet strategic goals in a proactive way. This involves meeting a range of challenges: Harnessing data to generate evidence Generating system understanding Building joined-up governance Developing the capability to change Developing networks of support, learning and the exchange of knowledge. Our research on implementing this approach with organisations shows that this is not easy. This programme takes and shares the lessons we have learned about implementing systemic risk management drawing on the evidence acquired through practical case studies and the knowledge and expertise of our collaborators. Core to the programme is a sociotechnical system analysis addressing many perspectives including organisational structure and processes, culture, and strategic goals. A prototype digital platform (OpenARK Project) supports this analysis of the social and technical influences on risk, links these to diverse data sources, and tracks implementation and change. The platform facilitates cross-organisational collaboration, building a knowledge data base through individual projects and synthesising multiple projects to support strategic programmes. The programme provides the opportunity to discuss the practical issues of implementing systemic risk management with experienced practitioners and, through this, links to a wider implementation network.
On successful completion of the programme, participants will be able to:
LO1 Understand the organisational conditions that inhibit and foster effective innovation in the face of risk
LO2 Understand key aspects of evidence-based governance of risk and value in relation to safety, innovation and sustainability.
LO3 Apply a risk governance platform to enable improved identification of risks and create appropriate implementation strategies, and apply this knowledge in the development of a potential case study
LO4 Understand the risks involved in the implementation of innovation and change and how they can be managed and apply this knowledge to a particular case study/organisation.
LO5 Gain the ability to better understand, communicate and influence a predictive risk-based approach
LO6 Understand the role data analytics plays in operational risk modeling.
This fully online programme addresses how to develop Systemic Risk Management in an organisation. It will use real examples to demonstrate practical methods to analyse and manage sources of risk, enabling a proactive, effective, and strategic capability. This approach both enhances the individual practitioner’s capability and benefits their organisation. The programme will link participants, practitioners, and researchers as part of a wider Community of Practice.
Assistant Professor Siobhán Corrigan, Professor Nick McDonald; Professor Pernilla Ulfvengren, KTH Royal Institute of Technology, Stockholm and Dr Daniele Baranzini, Visiting Research Fellow along with industry professionals which include:
Mr. Brian Doyle - Paramedic / firefighter with a Fire EMS service provider.
Dr. Una Geary - Director of Quality and Safety Improvement - St. Jame's Hospital.
Mr. John Guilfoyle – Assistant Chief Fire Officer
Dr. Marie Ward PhD - Health Systems Research and Learning Facilitator, Quality and Safety Improvement Directorate - St. Jame's Hospital
This is a fully online six-week programme divided into six live sessions. Each session is designed to be completed over the course of a week and will comprise several offline learning elements complemented with a one-and-a-half-hour live webinar (evenings). The webinar and study material will be accessed via our student learning platform, Blackboard.
Programme delivery components include:
Recorded sessions for home study.
Interactive tutorial sessions with experts and practitioners – discussing the challenges and opportunities of implementing Systemic Risk Management.
Panel discussion with academic and industry professionals.
Access to ARK risk management platform to explore methodologies applied to specific case studies.
Assessment & certification
This is a six-week course divided into six live sessions. Each session is designed to be completed over the course of a week and will comprise several offline learning elements such as videos, quizzes and discussion forums complemented with a one-hour live webinar (evening). The webinar and study material will be accessed via our student learning platform, Blackboard. On successful completion participants will be provided with a Certificate of Completion.
Who should attend
The programme will be of interest to those who have experience of managing safety, risk, change, or are responsible for operational performance, in any industry or service that carries operational risk, and who want to explore how to move to a new level of Systemic Risk Management.
Note: the programme is not industry specific and the learning can be applied to a wide range of industries that have common issues to do with managing innovation and change in an operational environment. This includes aviation, rail, maritime, finance, emergency services, defence forces, healthcare, software development, manufacturing (incl. pharmaceuticals), public utilities, and environmental management.