ORCID Profile
0000-0002-5487-7284
Current Organisations
Charles Sturt University
,
University of Sydney
,
The Alan Turing Institute
,
AI and Cyber Futures Institute, Charles Sturt University
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Publications
Expert leaders in a fast-moving environment
Publisher: Elsevier BV
Date: 04-2015
Other-regarding preferences and management styles
Publisher: Elsevier BV
Date: 04-2013
Navigating New Cyber Risks
Publisher: Springer International Publishing
Date: 2019
Risk aversion when gains are likely and unlikely
Publisher: Springer Science and Business Media LLC
Date: 29-06-2008
A COVID-19-Based Modified Epidemiological Model and Technological Approaches to Help Vulnerable Individuals Emerge from the Lockdown in the UK
Publisher: MDPI AG
Date: 02-09-2020
DOI: 10.3390/S20174967
Abstract: COVID-19 has shown a relatively low case fatality rate in young healthy in iduals, with the majority of this group being asymptomatic or having mild symptoms. However, the severity of the disease among the elderly as well as in in iduals with underlying health conditions has caused significant mortality rates worldwide. Understanding this variance amongst different sectors of society and modelling this will enable the different levels of risk to be determined to enable strategies to be applied to different groups. Long-established compartmental epidemiological models like SIR and SEIR do not account for the variability encountered in the severity of the SARS-CoV-2 disease across different population groups. The objective of this study is to investigate how a reduction in the exposure of vulnerable in iduals to COVID-19 can minimise the number of deaths caused by the disease, using the UK as a case study. To overcome the limitation of long-established compartmental epidemiological models, it is proposed that a modified model, namely SEIR-v, through which the population is separated into two groups regarding their vulnerability to SARS-CoV-2 is applied. This enables the analysis of the spread of the epidemic when different contention measures are applied to different groups in society regarding their vulnerability to the disease. A Monte Carlo simulation (100,000 runs) along the proposed SEIR-v model is used to study the number of deaths which could be avoided as a function of the decrease in the exposure of vulnerable in iduals to the disease. The results indicate a large number of deaths could be avoided by a slight realistic decrease in the exposure of vulnerable groups to the disease. The mean values across the simulations indicate 3681 and 7460 lives could be saved when such exposure is reduced by 10% and 20% respectively. From the encouraging results of the modelling a number of mechanisms are proposed to limit the exposure of vulnerable in iduals to the disease. One option could be the provision of a wristband to vulnerable people and those without a smartphone and contact-tracing app, filling the gap created by systems relying on smartphone apps only. By combining very dense contact tracing data from smartphone apps and wristband signals with information about infection status and symptoms, vulnerable people can be protected and kept safer.
Common methodological mistakes
Publisher: Elsevier BV
Date: 02-2023
The rural areas missing out on AI opportunities
Publisher: Springer Science and Business Media LLC
Date: 12-10-2022
Understanding happiness in cities using Twitter: Jobs, children, and transport
Publisher: IEEE
Date: 09-2016
Smart home, smart things and smart me in the smart city: the hub-of-all-things resource integration and enabling tool (HARRIET)
Publisher: Institution of Engineering and Technology
Date: 2014
DOI: 10.1049/IC.2014.0050
Do preference reversals disappear when we allow for probabilistic choice?
Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
Date: 2017
Abstract: The “preference reversal phenomenon,” a systematic disparity between people’s valuations and choices, poses challenges for theory and policy. Using a very general formulation of probabilistic preferences, we show that the phenomenon is not mainly due to intransitive choice. We find a high degree of regularity within choice tasks and also within valuation tasks, but the two types of tasks appear to evoke very different cognitive processes, even when the experimental environment tries to minimise differences. We discuss possible implications for modelling and eliciting preferences. Data, as supplemental material, are available at 0.1287/mnsc.2015.2333 . This paper was accepted by Manel Baucells, decision analysis.
Myopic loss aversion revisited
Publisher: Elsevier BV
Date: 07-2009
RAIDER: Reinforcement-Aided Spear Phishing Detector
Publisher: Springer Nature Switzerland
Date: 2022
Introduction to FUR XVII special issue
Publisher: Springer Science and Business Media LLC
Date: 20-04-2018
Global network centrality of university rankings
Publisher: The Royal Society
Date: 10-2017
DOI: 10.1098/RSOS.171172
Abstract: Universities and higher education institutions form an integral part of the national infrastructure and prestige. As academic research benefits increasingly from international exchange and cooperation, many universities have increased investment in improving and enabling their global connectivity. Yet, the relationship of university performance and its global physical connectedness has not been explored in detail. We conduct, to our knowledge, the first large-scale data-driven analysis into whether there is a correlation between university relative ranking performance and its global connectivity via the air transport network. The results show that local access to global hubs (as measured by air transport network betweenness ) strongly and positively correlates with the ranking growth (statistical significance in different models ranges between 5% and 1% level). We also found that the local airport’s aggregate flight paths ( degree ) and capacity ( weighted degree ) has no effect on university ranking, further showing that global connectivity distance is more important than the capacity of flight connections. We also examined the effect of local city economic development as a confounding variable and no effect was observed suggesting that access to global transportation hubs outweighs economic performance as a determinant of university ranking. The impact of this research is that we have determined the importance of the centrality of global connectivity and, hence, established initial evidence for further exploring potential connections between university ranking and regional investment policies on improving global connectivity.
Are Donors Afraid of Core Costs? Economies of Scale and Contestability in Charity Markets*
Publisher: Oxford University Press (OUP)
Date: 24-05-2019
DOI: 10.1093/EJ/UEZ006
Abstract: We study contestability in charity markets where non-commercial, not-for-profit providers supply a homogeneous collective good through increasing-returns-to-scale technologies. Unlike in the case of for-profit competition, the absence of price-based sales contracts for charities means that fixed costs can translate into entry barriers, protecting the position of an inefficient incumbent or, conversely, they can make it possible for inefficient newcomers to contest the position of a more efficient incumbent. Evidence from laboratory experiments show that fixed-cost driven tradeoffs between efficiency and perceived risk can lead to inefficient technology adoption.
Attitudes to uncertainty in a strategic setting
Publisher: Oxford University Press (OUP)
Date: 05-2017
DOI: 10.1111/ECOJ.12486
Contextual variety, Internet-of-Things and the choice of tailoring over platform: Mass customisation strategy in supply chain management
Publisher: Elsevier BV
Date: 2015
Measuring Individual Risk Attitudes when Preferences are Imprecise
Publisher: Oxford University Press (OUP)
Date: 05-2014
DOI: 10.1111/ECOJ.12143
Models of stochastic choice and decision theories
Publisher: Wiley
Date: 28-09-2010
DOI: 10.1002/JAE.1116
AI Governance by Human Rights–Centered Design, Deliberation, and Oversight
Publisher: Oxford University Press
Date: 09-07-2020
DOI: 10.1093/OXFORDHB/9780190067397.013.5
Abstract: This chapter argues that international human rights standards offer the most promising basis for developing a coherent and universally recognized set of standards that can be applied to meet any of the normative concerns currently falling under the rubric of AI (artificial intelligence) ethics. It then outlines the core elements of a human rights–centered design, deliberation, and oversight approach to the governance of AI. This approach requires that human rights norms are systemically considered at every stage of system design, development, and deployment, drawing upon and adapting technical methods and techniques for safe software and system design, verification, testing, and auditing in order to ensure compliance with human rights norms. The regime must be mandated by law and relies critically on external oversight by independent, competent, and properly resourced regulatory authorities with appropriate powers of investigation and enforcement. However, this approach will not ensure the protection of all ethical values adversely implicated by AI, given that human rights norms do not comprehensively cover all values of societal concern. As such, a great deal more work needs to be done to develop techniques and methodologies that are robust—reliable yet practically implementable across a wide and erse range of organizations involved in developing, building, and operating AI systems.
The many faces of active cyber
Publisher: Mark Allen Group
Date: 02-2019
Predictably intransitive preferences
Publisher: Cambridge University Press (CUP)
Date: 05-2018
DOI: 10.1017/S193029750000766X
Abstract: The transitivity axiom is common to nearly all descriptive and normative utility theories of choice under risk. Contrary to both intuition and common assumption, the little-known ’Steinhaus-Trybula paradox’ shows the relation ’stochastically greater than’ will not always be transitive, in contradiction of Weak Stochastic Transitivity. We bespoke-design pairs of lotteries inspired by the paradox, over which in idual preferences might cycle. We run an experiment to look for evidence of cycles, and violations of expansion/contraction consistency between choice sets. Even after considering possible stochastic but transitive explanations, we show that cycles can be the modal preference pattern over these simple lotteries, and we find systematic violations of expansion/contraction consistency.
Fuzzy partition technique for clustering Big Urban dataset
Publisher: IEEE
Date: 07-2016
Improving productivity in Hollywood with data science: Using emotional arcs of movies to drive product and service innovation in entertainment industries
Publisher: Informa UK Limited
Date: 02-03-2020
Female babies and risk-aversion
Publisher: Elsevier BV
Date: 03-2018
DOI: 10.1016/J.JHEALECO.2017.12.006
Abstract: Using ultrasound scan data from paediatric hospitals, and the exogenous 'shock' of learning the gender of an unborn baby, the paper documents the first causal evidence that offspring gender affects adult risk-aversion. On a standard Holt-Laury criterion, parents of daughters, whether unborn or recently born, become almost twice as risk-averse as parents of sons. The study demonstrates this in longitudinal and cross-sectional data, for fathers and mothers, for babies in the womb and new-born children, and in a West European nation and East European nation. These findings may eventually aid our understanding of risky health behaviors and gender inequalities.
Endowment effects? even with half a million on the table!
Publisher: Springer Science and Business Media LLC
Date: 20-05-2010
Words versus actions as a means to influence cooperation in social dilemma situations
Publisher: Springer Science and Business Media LLC
Date: 13-04-2011
Coordination, focal points and voting in strategic situations
Publisher: Springer Science and Business Media LLC
Date: 05-03-2009
A Data-Driven Analysis of Blockchain Systems' Public Online Communications on GDPR
Publisher: IEEE
Date: 08-2020
Reevaluating evidence on myopic loss aversion: aggregate patterns versus individual choices
Publisher: Springer Science and Business Media LLC
Date: 23-04-2009
POSTER: A Teacher-Student with Human Feedback Model for Human-AI Collaboration in Cybersecurity
Publisher: ACM
Date: 10-07-2023
The impact of government integrity and culture on corporate leadership practices: Evidence from the field and the laboratory
Publisher: Elsevier BV
Date: 10-2019
Using human values‐based approach to understand cross‐cultural commitment toward regulation and governance of cybersecurity†
Publisher: Wiley
Date: 04-10-2019
DOI: 10.1111/REGO.12281
Abstract: This article develops a new framework linking cross‐cultural human values, regulation, and governance in the area of cybersecurity. Cyber space is currently transitioning from a laissez‐faire into a regulated area. Yet, there is a significant heterogeneity in terms of the strength of commitment in different states to regulation and governance of digital spaces. Therefore, it is important to explore why this heterogeneity exists. This article proposes that heterogeneity in the commitment to regulation and governance of cyber space between different nations stems from the fundamental cross‐cultural differences in human values between countries. Using an ex le of cybersecurity, we show how the cultural value orientations theory maps onto national commitments to regulate and govern cybersecurity issues. We construct a theoretical framework linking human values with cybersecurity regulation and confirm the existence of this link empirically using the data from the international Schwartz Value Survey and the Global Cybersecurity Index.
Testing for independence while allowing for probabilistic choice
Publisher: Springer Science and Business Media LLC
Date: 12-2014
Naïve advice when half a million is at stake
Publisher: Elsevier BV
Date: 02-2008
Related Organisations
The Alan Turing Institute
Location: United Kingdom of Great Britain and Northern Ireland
University Of Birmingham
Location: United Kingdom of Great Britain and Northern Ireland
AI And Cyber Futures Institute, Charles Sturt University
Location: Australia
Related Funding Activities
Control And Trust As Moderating Mechanisms In Addressing Vulnerability For The Design Of Business And Economic Models (ConTriVE)
Start Date: 2016
End Date: 2019
Funder: Engineering and Physical Sciences Research Council
View Funded ActivityStay Happy: Understanding Urban Wellbeing Using A Behavioural Machine Learning Approach
Start Date: 2018
End Date: 2021
Funder: Economic and Social Research Council
View Funded ActivityACCEPT: Addressing Cybersecurity And Cybercrime Via A Co-Evolutionary APproach To Reducing Human-relaTed Risks
Start Date: 2017
End Date: 2020
Funder: Engineering and Physical Sciences Research Council
View Funded ActivityNudging And Behavioural Machine Learning: Implications For Urban Wellbeing
Start Date: 2018
End Date: 2021
Funder: Economic and Social Research Council
View Funded ActivitySmart Me Versus Smart Things: The Development Of A Personal Resource Planning (PRP) System Through Human Interactions With Data Enabled By The IoT
Start Date: 2014
End Date: 2016
Funder: Engineering and Physical Sciences Research Council
View Funded ActivityBehavioural Modelling Of Space And Time In The City Context: Implications For Urban Wellbeing
Start Date: 2019
End Date: 2024
Funder: Economic and Social Research Council
View Funded ActivityACCEPT: Addressing Cybersecurity And Cybercrime Via A Co-Evolutionary APproach To Reducing Human-relaTed Risks
Start Date: 2017
End Date: 2017
Funder: Engineering and Physical Sciences Research Council
View Funded Activity