Pandemic Subversions: The Rise of the Cybermen

This article reflects on recent developments in the author's fine art research project, Monsters and Margins. The imposing of lockdown restrictions in 2020 initiated a shift in the artist’s practice, resulting in him spray painting and projecting Doctor Who villains onto the Brutalist architecture of the Queen Elizabeth II Bridge. The author will demonstrate the influence of literature and philosophy on his artistic practice, drawing upon the work of Robert Smithson, J.G. Ballard, Iain Sinclair and, most pertinently, Mark Fisher, as he narrates the evolution of his understanding of hauntology and psycho-geography through progressing experiments. This leads to the unearthing of an anti-capitalist political stance in the work, enflamed by the pandemic’s highlighting of poor governance and society’s unsustainable consumerism and inequalities

Monsters and Margins

Ralph Overill’s research examines the relationship between figures of otherness and peripheral landscapes. Combining creative practice with theoretical and contextual study, Ralph explores the haunts of the 20th and 21st centuries, referencing popular cinematic and literary culture. From this he constructs a framework across psychogeographical and hauntological notions, including the work of J.G. Ballard, Robert Smithson, Iain Sinclair and Mark Fisher. His practice, with its roots in printmaking evolves to take ownership of spaces, embracing site-specific intervention, roadside walks, creative writing, installation and performative strategies, as Ralph searches for the essence of his own inner demons and his connection to the edge-lands of Essex in which he resides

Crossing Conceptual Boundaries XII, 2022

ISSN: 2041-9090 Crossing Conceptual Boundaries PhD Annual Yearbook New Series Volume XII A peer-reviewed graduate publication, School of Education & Communities, UEL, U

Ranking the Impact of Different Tests on a Hypothesis in a Bayesian Network

Testing of evidence in criminal cases can be limited by temporal or financial constraints or by the fact that certain tests may be mutually exclusive, so choosing the tests that will have maximal impact on the final result is essential. In this paper, we assume that a main hypothesis, evidence for it and possible tests for existence of this evidence are represented in the form of a Bayesian network, and use three different methods to measure the impact of a test on the main hypothesis. We illustrate the methods by applying them to an actual digital crime case provided by the Hong Kong police. We conclude that the Kullback-Leibler divergence is the optimal method for selecting the tests with the highest impact

Cyber Insurance

This volume covers a wide spectrum of issues relating to economic and political development enabled by information and communication technology (ICT)