Mr Archie Rudman
Impact Champion
Management Science
Personal statement
Personal statement
I am a research associate in the Department of Management Science, currently working within the Nunavut-Nunavik search and rescue (NSAR) project. Funded jointly by the NERC and Canada’s National Research Council (NRC), the aim of this project is to strengthen the whole-of-society search and rescue (SAR) system in the Canadian Arctic territories of Nunavut and Nunavik through capacity and skill building, and by creating a decision support model for current and future planning, preparation, and infrastructure development.
I am also completing my PhD in the Department of Civil and Environmental Engineering at Strathclyde under the supervision of Enrico Tubaldi, Marco De Angelis, and John Douglas. My research involves evaluating the ability of novel techniques to improve upon earthquake risk assessment practice, with a particular focus on machine learning and ground-motion simulation.
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Publications
- Covariance structure modeling of engineering demand parameters in cloud-based seismic analysis
- Rudman Archie, Tubaldi Enrico, Gentile Roberto, Douglas John
- Earthquake Engineering & Structural Dynamics (2026)
- https://doi.org/10.1002/eqe.70151
- Risk modelling for remote communities : an Inuit-driven Bayesian network approach to enhance search and rescue operations in Arctic Canada
- Belton Ian, Quigley John, Rudman Archie, Kikkert Peter, Howick Susan, Walls Lesley
- Proceedings of the 22nd ISCRAM Conference ISCRAM 2025 (2025)
- https://doi.org/10.59297/bz4zhp86
- Designing a Bayesian urgency assessment tool for search and rescue in the Canadian Arctic
- Peters Joshua, Quigley John, Rudman Archie, Belton Ian, Howick Susan, Kikkert Peter, Walls Lesley
- Proceedings of the 22nd ISCRAM Conference ISCRAM 2025 (2025)
- https://doi.org/10.59297/zgw11c50
- The impact of the choice of intensity measure and seismic demand model on seismic risk estimates with respect to an unconditional benchmark
- Rudman Archie, Tubaldi Enrico, Douglas John, Scozzese Fabrizio
- Earthquake Engineering & Structural Dynamics Vol 53, pp. 4183-4202 (2024)
- https://doi.org/10.1002/eqe.4208
- Evaluating the impact of intensity measure selection on conditional seismic risk
- Rudman A, Douglas J, Tubaldi E, Scozzese F, Turchetti F
- 18th World Conference on Earthquake Engineering (2024)
- The assessment of probabilistic seismic risk using ground-motion simulations via a Monte Carlo approach
- Rudman Archie, Douglas John, Tubaldi Enrico
- Natural Hazards Vol 120, pp. 6833-6852 (2024)
- https://doi.org/10.1007/s11069-024-06497-1
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Professional Activities
Projects
- Strengthening search and rescue in Arctic Canada and Scotland with data collection, analysis and modelling tools
- Belton, Ian (Principal Investigator) Rudman, Archie John (Researcher) Quigley, John (Co-investigator) Walls, Lesley (Co-investigator) Howick, Susan (Co-investigator)
- The NNSAR project was focused on enhancing the Search and Rescue (SAR) system in the Canadian Arctic regions of Nunavut and Nunavik, where SAR responders – mostly volunteers – provide 24/7 response capabilities in challenging conditions with limited resources. Their services are essential for community safety and well-being. The NNSAR team has developed a novel quantitative risk model to support decision-making around the strategic allocation of resources for SAR operations.
To improve the management of SAR operations, and to maximise the impact of the NNSAR model, we have identified a need for more and better SAR data. At present, Emergency Management Organizations (EMOs) must allocate resources and seek government funding based on limited and/or anecdotal evidence only. This impact project plans to address the identified data gap in two ways.
First, we will work with Kativik Civil Security (KCS), the Nunavik EMO, to develop a rigorous process for the collection, analysis and reporting of SAR data. Those data will allow KCS to make evidence-based policy decisions to better support SAR in Nunavik and enable us to develop the NNSAR model into one with broad applicability across diverse SAR environments.
Second, we aim to extend the reach of our impact to Scotland. As in Nunavik, Scottish mountain rescue relies on a committed group of volunteers operating in a challenging environment. The two SAR systems share many features, notably growing caseloads that are increasing the strain on responders and the system as a whole. The data available in Scotland are much more detailed than in Nunavik but are currently underutilised. We will form a new partnership with Mountaineering Scotland to:
1. Apply the NNSAR model to existing Scottish mountain rescue data – this can both improve the model and provide useful insights for Scotland, which will translate back to Canada; and
2. Apply learning from the novel Nunavik SAR data collection process to enhance data collection within Scotland.
The outcomes of this project will include enhanced SAR in Nunavik and Scotland, stronger relationships with external partners, and the construction of a risk model with wide application to emergency management operations across the world. - 02-Jan-2025 - 31-Jan-2025
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Contact
Mr
Archie
Rudman
Impact Champion
Management Science
Email: archie.rudman@strath.ac.uk
Tel: Unlisted