Defense Science and Technology Laboratory, ENG


Graham L. Mathieson has a career spanning 25 years in Defense analysis and modelling in the UK. After graduating in Applied Physics in 1980, he joined the Admiralty Surface Weapons Establishment (a predecessor to the Defense Science and Technology Laboratory) where he worked for six years on Naval weapon system analysis. He conducted studies to support major procurement decisions and managed the development of a series of new naval combat models. Graham then moved into Operational Analysis (OA) where he specialized in studies involving electronic warfare, command and control, intelligence systems, C2W and information operations. As well as pioneering the use of object-oriented simulation techniques for naval battle modelling, Graham also carried out fundamental research on the representation of human decision-making in OA models - a research theme that continues to the present day. Graham is currently a Fellow of the Defense Science and Technology Laboratory (a part of the UK Ministry of Defense), a technical leader in the area of C3I&STAR, and a leading member of the Dstl Human Systems Team. He provides consultancy on a broad range of topics covering Joint C3, NEC/EBO, information operations, human systems issues, and also provides best practice advice on decision support methods and OA. Other special interests include OA principles, soft OA methods, development of metrics and improving the rigor of analysis. Graham was a leading member of the NATO group developing the Code of Best Practice for C2 Assessment and is currently engaged in a NATO collaboration to improve conceptual modeling of C2.

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Futurology and the future of systems analysis
Volume: 7, Issue 1

Full spectrum analysis
Volume: 6, Issue 4
This paper draws together material from Operational Research (OR) and Human Sciences (HS) conferences. It explores the need for OR to embrace the full range of knowledge available from HS and for HS, in turn, to integrate and express that knowledge in a form that OR can use. The paper discusses humans as a source of individual and collective variability in complex, socio-technical systems and exposes the challenges facing OR in advising on interventions in them. It then outlines practical approaches to those challenges based on balanced problem formulation, modelling systems ?naturally? and embracing uncertainty, leading towards ?full spectrum? analysis.