Browsing by Author "Nelson, Liz"

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    The detection problem: an eight-decade challenge: the difficulty of practically detecting and discriminating mines, booby traps, and victim operated improvised explosive devices
    (The Center for International Stabilization and Recovery (CISR) : James Madison University, 2024-03-27) Evans, Roly H. P.; Temple, Tracey; Nelson, Liz
    Reliably detecting and discriminating mines, booby traps, and victim operated improvised explosive devices remains a stubborn problem for both humanitarian demining organizations and the military. Since mines were widely used during the Second World War, much effort has been expended on the detection problem, with limited success. The aim of being able to positively identify a device first time remains elusive since the scientific challenge of positively identifying different substances in the ground is formidable. This article critically examines the detection problem and suggests that in the continued absence of a ‘silver bullet’ technological solution, the best means currently available to manage the risk of concealed explosive devices is the systematic collection and analysis of relevant operational data from the field.
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    Innovative clearance data model for demining operational data collection: insights from field trials in Zimbabwe
    (Elsevier, 2024-12-15) Evans, Roly; Bold, Mikael; Nelson, Liz; Temple, Tracey
    From September 2023 to March 2024 a field trial on a live manual demining site was conducted to test a new and innovative approach for the collection and analysis of operational data. The approach, titled the Clearance Data Model, involved the collection of sixty-six data attributes for each mine found. For the first time the mine itself would become the accountable unit of demining data, against which an expanded range of relevant attributes particular to that specific mine would be recorded. This novel approach represented a considerable expansion to the operational data collected concerning Victim Operated Explosive Devices such as mines, booby-traps and victim operated Improvised Explosive Devices from the field. Previously few if any details about individual accountable mines were collected. The trial proved that is it entirely practical to collect such levels of data without impeding operational efficiency. It also showed that such data has significant benefits for quantitative operational risk management, as well as overall operations and quality management. For example, the recording of mine depth alongside excavation times enables oversight of individual excavation speed and management of any risk identified.
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    Know thy enemy and know yourself – the role of operational data in managing the mines and booby trap threat in Vietnam, 1965–73
    (SAGE, 2024-03-12) Evans, Roland; Temple, Tracey; Nelson, Liz
    Victim operated explosive devices (VOEDs) such as mines and booby traps, have been an enduring problem since their large-scale use started in the 1940s. While the overall problem is often known about in general terms, the real complexion of the problem was not necessarily fully appreciated. Eventually the need to understand the problem and the response to it was partially identified and acted upon in Vietnam through the collection and analysis of operational data. This did not solve the problem of mines and booby traps, but it did offer a means to better manage the threat.
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    Operational data for the risk management of victim operated explosive devices in humanitarian mine action: a practitioner’s perspective
    (Elsevier, 2024-02-02) Evans, Roly; Nelson, Liz; Temple, Tracey
    Since Mine Action's inception at the end of the 1980s, operators have collected limited data on the Victim Operated Explosive Devices (VOEDs) they clear. This includes not only data on the explosive ordnance itself but data on how they were found, where they were found and how they were processed and ultimately destroyed. In a context where detection of mines, boobytraps and certain Victim Operated Improvised Explosive Devices (VOIEDs) is an ongoing humanitarian and military challenge, significantly expanded operational data collection provides an achievable way to facilitate enhanced operational risk management. Risk decisions inherent in the clearance of VOEDs are better if made on the basis of extensive operational data. In the absence of a technological solution to detect and positively discriminate VOEDs from false positive indications, the collection of operational data offers the best prospect for “managing” if not “solving” the problem.