The Efficacy, Equity and Externalities of Australia’s COVIDSafe App as a Policy Intervention during the COVID-19 Pandemic: Was It Sunscreen or Tanning Lotion?

2021 ◽  
Vol 44 (4) ◽  
Author(s):  
John Selby

Digital contact tracing apps, such as the COVIDSafe App in Australia, have been rapidly implemented by many governments as a public policy solution to increase the efficiency of health screening testing during the COVID-19 viral pandemic. This article analyses how the COVIDSafe App’s unresolved efficacy and equity issues and the cybersecurity and privacy externalities it imposes onto Australians have prevented the App from making a significant positive contribution towards reducing the impact of the pandemic in Australia. It attributes some of the failure of Bluetooth-based digital contract tracing apps to their mis-characterisation as a Lessigean ‘code as law’ policy response, arguing instead that such apps are more complex and fragile cyber-physical systems requiring more analysis prior to implementation.

Economies ◽  
2018 ◽  
Vol 6 (3) ◽  
pp. 39 ◽  
Author(s):  
Majid Ziaei Nafchi ◽  
Hana Mohelská

Industry 4.0 is the essence of the fourth Industrial revolution and is happening right now in manufacturing by using cyber-physical systems (CPS) to reach high levels of automation. Industry 4.0 is especially beneficial in highly developed countries in terms of competitive advantage, but causes unemployment because of high levels of automation. The aim of this paper is to find out if the impact of adopting Industry 4.0 on the labor markets of Iran and Japan would be the same, and to make analysis to find out whether this change is possible for Iran and Japan with their current infrastructures, economy, and policies. With the present situation of Iran in science, technology, and economy, it will be years before Iran could, or better say should, implement Industry 4.0. Japan is able to adopt Industry 4.0 much earlier than Iran and with less challenges ahead; this does not mean that the Japanese labor market would not be affected by this change but it means that those effects would not cause as many difficulties as they would for Iran.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Jin Woo Ro ◽  
Nathan Allen ◽  
Weiwei Ai ◽  
Debi Prasad ◽  
Partha S. Roop

Abstract The COVID-19 pandemic has posed significant challenges globally. Countries have adopted different strategies with varying degrees of success. Epidemiologists are studying the impact of government actions using scenario analysis. However, the interactions between the government policy and the disease dynamics are not formally captured. We, for the first time, formally study the interaction between the disease dynamics, which is modelled as a physical process, and the government policy, which is modelled as the adjoining controller. Our approach enables compositionality, where either the plant or the controller could be replaced by an alternative model. Our work is inspired by the engineering approach for the design of Cyber-Physical Systems. Consequently, we term the new framework Compositional Cyber-Physical Epidemiology. We created different classes of controllers and applied these to control the disease in New Zealand and Italy. Our controllers closely follow government decisions based on their published data. We not only reproduce the pandemic progression faithfully in New Zealand and Italy but also show the tradeoffs produced by differing control actions.


Author(s):  
Dionysios Nikolopoulos ◽  
Georgios Moraitis ◽  
Dimitrios Bouziotas ◽  
Archontia Lykou ◽  
George Karavokiros ◽  
...  

<p>Emergent threats in the water sector have the form of cyber-physical attacks that target SCADA systems of water utilities. Examples of attacks include chemical/biological contamination, disruption of communications between network elements and manipulating sensor data. RISKNOUGHT is an innovative cyber-physical stress testing platform, capable of modelling water distribution networks as cyber-physical systems. The platform simulates information flow of the cyber layer’s networking and computational elements and the feedback interactions with the physical processes under control. RISKNOUGHT utilizes an EPANET-based solver with pressure-driven analysis functionality for the physical process and a customizable network model for the SCADA system representation, which is capable of implementing complex control logic schemes within a simulation. The platform enables the development of composite cyber-physical attacks on various elements of the SCADA including sensors, actuators and PLCs, assessing the impact they have on the hydraulic response of the distribution network, the quality of supplied water and the level of service to consumers. It is envisaged that this platform could help water utilities navigate the ever-changing risk landscape of the digital era and help address some of the modern challenges due to the ongoing transformation of water infrastructure into cyber-physical systems.</p>


2020 ◽  
Author(s):  
Jin Woo Ro ◽  
Nathan Allen ◽  
Weiwei Ai ◽  
Debi Prasad ◽  
Partha S. Roop

AbstractCOVID-19 pandemic has posed significant challenges globally. Countries have adopted different strategies with varying degrees of success. Epidemiologists are studying the impact of government actions using scenario analysis. However, the interactions between the government policy and the disease dynamics are not formally captured.We, for the first time, formally study the interaction between the disease dynamics, which is modelled as a physical process, and the government policy, which is modelled as the adjoining controller. Our approach enables compositionality, where either the plant or the controller could be replaced by an alternative model. Our work is inspired by the engineering approach for the design of Cyber-Physical Systems (CPSs). Consequently, we term the new framework Compositional Cyber-Physical Epidemiology (CCPE). We created different classes of controllers and applied these to control the disease in New Zealand and Italy. Our controllers closely follow government decisions based on their published data. We not only reproduce the pandemic progression faithfully in New Zealand and Italy but also show the tradeoffs produced by differing control actions.


2021 ◽  
Vol 346 ◽  
pp. 03050
Author(s):  
Mariya Ostapenko ◽  
Vladlena Nazarova

The fourth industrial revolution, associated with the introduction of robotics, cyber-physical systems, artificial intelligence, neural networks, affects all spheres of human life. There is a need for specialists with the appropriate skills. The article discusses the elements of Industry 4.0: Internet of Things, robotization, PLM system. The impact of digitalization on the educational sector is also considered.


2021 ◽  
Vol 11 (14) ◽  
pp. 6469
Author(s):  
Fu-Shiung Hsieh

Advancement of IoT and ICT provide infrastructure to manage, monitor and control Cyber-Physical Systems (CPS) through timely provision of real-time information from the shop floor. Although real-time information in CPS such as resource failures can be detected based on IoT and ICT, improper response to resource failures may cripple CPS and degrade performance. Effective operations of CPS relies on an effective scheme to evaluate the impact of resource failures, support decision making needed and take proper actions to respond to resource failures. This motivates us to develop a methodology to assess the impact of resource failures on operations of CPS and provide the decision support as needed. The goal of this study is to propose solution algorithms to analyze robustness of CPS with respect to resource failures in terms of the impact on temporal properties. Given CPS modeled by a class of discrete timed Petri nets (DTPNs), we develop theory to analyze robustness of CPS by transforming the models to residual spatial-temporal network (RSTN) models in which capacity loss due to resources is reflected. We formulate an optimization problem to determine the influence of resource failures on CPS based on RSTNs and analyze the feasibility to meet the order deadline. To study the feasibility to solve a real problem, we analyze the computational complexity of the proposed algorithms. We illustrate the proposed method by application scenarios. We conduct experiments to study efficiency and verify computational feasibility of the proposed method to solve a real problem.


Procedia CIRP ◽  
2015 ◽  
Vol 30 ◽  
pp. 323-328 ◽  
Author(s):  
Matthias M. Herterich ◽  
Falk Uebernickel ◽  
Walter Brenner

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-22
Author(s):  
Róbert Csalódi ◽  
Zoltán Süle ◽  
Szilárd Jaskó ◽  
Tibor Holczinger ◽  
János Abonyi

The Fourth Industrial Revolution means the digital transformation of production systems. Cyber-physical systems allow for the horizontal and vertical integration of these production systems as well as the exploitation of the benefits via optimization tools. This article reviews the impact of Industry 4.0 solutions concerning optimization tasks and optimization algorithms, in addition to the identification of the new R&D directions driven by new application options. The basic organizing principle of this overview of the literature is to explore the requirements of optimization tasks, which are needed to perform horizontal and vertical integration. This systematic review presents content from 900 articles on Industry 4.0 and optimization as well as 388 articles on Industry 4.0 and scheduling. It is our hope that this work can serve as a starting point for researchers and developers in the field.


2018 ◽  
Vol 2 (2) ◽  
pp. 227-234
Author(s):  
NATHALIE SPENCER

AbstractThis paper is a response to Sanders, Snijders and Hallsworth (2018). The challenges and opportunities of behavioural public policy Sanders, Snijders and Hallsworth discuss highlight a conundrum for the field: the impact of behavioural interventions is difficult to measure accurately in complex situations, and yet complexity is inherent in the very areas in most need of impact. Behavioural interventions will be only one tool of many to work towards broader organisational, systems and social change. As a field, we should be looking to other disciplines, inviting them into the fold of discussions on how to achieve these changes. Finally, while the mantra of nudge for good is a useful beacon, intentions are only part of the equation, and a number of questions should be asked when considering a behavioural policy intervention.


2020 ◽  
Vol 13 (3) ◽  
pp. 744-771 ◽  
Author(s):  
Oliver Inderwildi ◽  
Chuan Zhang ◽  
Xiaonan Wang ◽  
Markus Kraft

Assessing the impact of digital technologies and artificial intelligence, so-called intelligent cyber-physical systems, on emission reduction in the critical sector of energy provision.


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