Author: Benjamin Boudreaux
Publisher: Rand Corporation
ISBN: 1977405274
Category : Medical
Languages : en
Pages : 165
Book Description
As part of the response to the COVID-19 pandemic, governments worldwide have deployed mobile phone surveillance programs to augment public health interventions. However, these programs raise privacy concerns. The authors of this report examine whether two goals can be achieved concurrently: the use of mobile phones as public health surveillance tools to help manage COVID‐19 and future crises, and the protection of privacy and civil liberties.
Data Privacy During Pandemics
Author: Benjamin Boudreaux
Publisher: RAND Corporation
ISBN: 1977405630
Category : Medical
Languages : en
Pages : 165
Book Description
As part of the response to the COVID-19 pandemic, governments worldwide have deployed mobile phone surveillance programs to augment public health interventions. However, these programs raise privacy concerns. The authors of this report examine whether two goals can be achieved concurrently: the use of mobile phones as public health surveillance tools to help manage COVID‐19 and future crises, and the protection of privacy and civil liberties.
Publisher: RAND Corporation
ISBN: 1977405630
Category : Medical
Languages : en
Pages : 165
Book Description
As part of the response to the COVID-19 pandemic, governments worldwide have deployed mobile phone surveillance programs to augment public health interventions. However, these programs raise privacy concerns. The authors of this report examine whether two goals can be achieved concurrently: the use of mobile phones as public health surveillance tools to help manage COVID‐19 and future crises, and the protection of privacy and civil liberties.
Data Science Advancements in Pandemic and Outbreak Management
Author: Asimakopoulou, Eleana
Publisher: IGI Global
ISBN: 1799867382
Category : Computers
Languages : en
Pages : 255
Book Description
Pandemics are disruptive. Thus, there is a need to prepare and plan actions in advance for identifying, assessing, and responding to such events to manage uncertainty and support sustainable livelihood and wellbeing. A detailed assessment of a continuously evolving situation needs to take place, and several aspects must be brought together and examined before the declaration of a pandemic even happens. Various health organizations; crisis management bodies; and authorities at local, national, and international levels are involved in the management of pandemics. There is no better time to revisit current approaches to cope with these new and unforeseen threats. As countries must strike a fine balance between protecting health, minimizing economic and social disruption, and respecting human rights, there has been an emerging interest in lessons learned and specifically in revisiting past and current pandemic approaches. Such approaches involve strategies and practices from several disciplines and fields including healthcare, management, IT, mathematical modeling, and data science. Using data science to advance in-situ practices and prompt future directions could help alleviate or even prevent human, financial, and environmental compromise, and loss and social interruption via state-of-the-art technologies and frameworks. Data Science Advancements in Pandemic and Outbreak Management demonstrates how strategies and state-of-the-art IT have and/or could be applied to serve as the vehicle to advance pandemic and outbreak management. The chapters will introduce both technical and non-technical details of management strategies and advanced IT, data science, and mathematical modelling and demonstrate their applications and their potential utilization within the identification and management of pandemics and outbreaks. It also prompts revisiting and critically reviewing past and current approaches, identifying good and bad practices, and further developing the area for future adaptation. This book is ideal for data scientists, data analysts, infectious disease experts, researchers studying pandemics and outbreaks, IT, crisis and disaster management, academics, practitioners, government officials, and students interested in applicable theories and practices in data science to mitigate, prepare for, respond to, and recover from future pandemics and outbreaks.
Publisher: IGI Global
ISBN: 1799867382
Category : Computers
Languages : en
Pages : 255
Book Description
Pandemics are disruptive. Thus, there is a need to prepare and plan actions in advance for identifying, assessing, and responding to such events to manage uncertainty and support sustainable livelihood and wellbeing. A detailed assessment of a continuously evolving situation needs to take place, and several aspects must be brought together and examined before the declaration of a pandemic even happens. Various health organizations; crisis management bodies; and authorities at local, national, and international levels are involved in the management of pandemics. There is no better time to revisit current approaches to cope with these new and unforeseen threats. As countries must strike a fine balance between protecting health, minimizing economic and social disruption, and respecting human rights, there has been an emerging interest in lessons learned and specifically in revisiting past and current pandemic approaches. Such approaches involve strategies and practices from several disciplines and fields including healthcare, management, IT, mathematical modeling, and data science. Using data science to advance in-situ practices and prompt future directions could help alleviate or even prevent human, financial, and environmental compromise, and loss and social interruption via state-of-the-art technologies and frameworks. Data Science Advancements in Pandemic and Outbreak Management demonstrates how strategies and state-of-the-art IT have and/or could be applied to serve as the vehicle to advance pandemic and outbreak management. The chapters will introduce both technical and non-technical details of management strategies and advanced IT, data science, and mathematical modelling and demonstrate their applications and their potential utilization within the identification and management of pandemics and outbreaks. It also prompts revisiting and critically reviewing past and current approaches, identifying good and bad practices, and further developing the area for future adaptation. This book is ideal for data scientists, data analysts, infectious disease experts, researchers studying pandemics and outbreaks, IT, crisis and disaster management, academics, practitioners, government officials, and students interested in applicable theories and practices in data science to mitigate, prepare for, respond to, and recover from future pandemics and outbreaks.
Data Privacy During Pandemics
Author: Benjamin Boudreaux
Publisher: Rand Corporation
ISBN: 1977405274
Category : Medical
Languages : en
Pages : 165
Book Description
As part of the response to the COVID-19 pandemic, governments worldwide have deployed mobile phone surveillance programs to augment public health interventions. However, these programs raise privacy concerns. The authors of this report examine whether two goals can be achieved concurrently: the use of mobile phones as public health surveillance tools to help manage COVID‐19 and future crises, and the protection of privacy and civil liberties.
Publisher: Rand Corporation
ISBN: 1977405274
Category : Medical
Languages : en
Pages : 165
Book Description
As part of the response to the COVID-19 pandemic, governments worldwide have deployed mobile phone surveillance programs to augment public health interventions. However, these programs raise privacy concerns. The authors of this report examine whether two goals can be achieved concurrently: the use of mobile phones as public health surveillance tools to help manage COVID‐19 and future crises, and the protection of privacy and civil liberties.
Group Privacy
Author: Linnet Taylor
Publisher: Springer
ISBN: 3319466089
Category : Philosophy
Languages : en
Pages : 249
Book Description
The goal of the book is to present the latest research on the new challenges of data technologies. It will offer an overview of the social, ethical and legal problems posed by group profiling, big data and predictive analysis and of the different approaches and methods that can be used to address them. In doing so, it will help the reader to gain a better grasp of the ethical and legal conundrums posed by group profiling. The volume first maps the current and emerging uses of new data technologies and clarifies the promises and dangers of group profiling in real life situations. It then balances this with an analysis of how far the current legal paradigm grants group rights to privacy and data protection, and discusses possible routes to addressing these problems. Finally, an afterword gathers the conclusions reached by the different authors and discuss future perspectives on regulating new data technologies.
Publisher: Springer
ISBN: 3319466089
Category : Philosophy
Languages : en
Pages : 249
Book Description
The goal of the book is to present the latest research on the new challenges of data technologies. It will offer an overview of the social, ethical and legal problems posed by group profiling, big data and predictive analysis and of the different approaches and methods that can be used to address them. In doing so, it will help the reader to gain a better grasp of the ethical and legal conundrums posed by group profiling. The volume first maps the current and emerging uses of new data technologies and clarifies the promises and dangers of group profiling in real life situations. It then balances this with an analysis of how far the current legal paradigm grants group rights to privacy and data protection, and discusses possible routes to addressing these problems. Finally, an afterword gathers the conclusions reached by the different authors and discuss future perspectives on regulating new data technologies.
Pandemic Surveillance
Author: David Lyon
Publisher: John Wiley & Sons
ISBN: 1509550321
Category : Social Science
Languages : en
Pages : 94
Book Description
The COVID-19 pandemic has disrupted life as we knew it. Lockdowns, self-isolation and quarantine have become a normal part of everyday life. Pandemic surveillance allows governments and corporations to monitor and surveil the spread of the virus and to make sure citizens follow the measures they put in place. This is evident in the massive, unprecedented mobilization of public health data to contain and combat the virus, and the ballooning of surveillance technologies such as contact-tracing apps, facial recognition, and population tracking. This can also be seen as a pandemic of surveillance. In this timely book, David Lyon tracks the development of these methods, examining different forms of pandemic surveillance, in health-related and other areas, from countries around the world. He explores their benefits and disadvantages, their legal status, and how they relate to privacy protection, an ethics of care, and data justice. Questioning whether this new culture of surveillance will become a permanent feature of post-pandemic societies and the long-term negative effects this might have on social inequalities and human freedoms, Pandemic Surveillance highlights the magnitude of COVID-19-related surveillance expansion. The book also underscores the urgent need for new policies relating to surveillance and data justice in the twenty-first century.
Publisher: John Wiley & Sons
ISBN: 1509550321
Category : Social Science
Languages : en
Pages : 94
Book Description
The COVID-19 pandemic has disrupted life as we knew it. Lockdowns, self-isolation and quarantine have become a normal part of everyday life. Pandemic surveillance allows governments and corporations to monitor and surveil the spread of the virus and to make sure citizens follow the measures they put in place. This is evident in the massive, unprecedented mobilization of public health data to contain and combat the virus, and the ballooning of surveillance technologies such as contact-tracing apps, facial recognition, and population tracking. This can also be seen as a pandemic of surveillance. In this timely book, David Lyon tracks the development of these methods, examining different forms of pandemic surveillance, in health-related and other areas, from countries around the world. He explores their benefits and disadvantages, their legal status, and how they relate to privacy protection, an ethics of care, and data justice. Questioning whether this new culture of surveillance will become a permanent feature of post-pandemic societies and the long-term negative effects this might have on social inequalities and human freedoms, Pandemic Surveillance highlights the magnitude of COVID-19-related surveillance expansion. The book also underscores the urgent need for new policies relating to surveillance and data justice in the twenty-first century.
Digital Contact Tracing for Pandemic Response
Author: Jeffrey P. Kahn
Publisher:
ISBN: 9781421449630
Category : COVID-19 (Disease)
Languages : en
Pages : 0
Book Description
"Technologies of digital contact tracing have been used in several countries to help in the surveillance and containment of COVID-19. These technologies have promise, but they also raise important ethical, legal, and governance challenges that require comprehensive analysis in order to support decision-making. Johns Hopkins University recognized the importance of helping to guide this process and organized an expert group with members from inside and outside the university. This expert group urges a stepwise approach that prioritizes the alignment of technology with public health needs, building choice into design architecture and capturing real-world results and impacts to allow for adjustments as required"--
Publisher:
ISBN: 9781421449630
Category : COVID-19 (Disease)
Languages : en
Pages : 0
Book Description
"Technologies of digital contact tracing have been used in several countries to help in the surveillance and containment of COVID-19. These technologies have promise, but they also raise important ethical, legal, and governance challenges that require comprehensive analysis in order to support decision-making. Johns Hopkins University recognized the importance of helping to guide this process and organized an expert group with members from inside and outside the university. This expert group urges a stepwise approach that prioritizes the alignment of technology with public health needs, building choice into design architecture and capturing real-world results and impacts to allow for adjustments as required"--
Competition, Data and Privacy in the Digital Economy
Author: Maria Wasastjerna
Publisher: Kluwer Law International B.V.
ISBN: 9403522240
Category : Law
Languages : en
Pages : 431
Book Description
Increasingly, we conduct our lives online, and in doing so, we grant access to our personal information. The crucial feedstock of the world economy thus generated - the commercialization and exploitation of personal data and the intrusion of digital privacy it entails - has built an imposing edifice of market power. As we enter the third decade of the 21st century, this detailed exploration of the interlinkage between competition and data privacy takes a critical look at competition policy to evaluate whether the system in its current form and with the existing approach is capable of tackling the challenges raised by the role of personal data in the shift from an offline to an online economy. Challenging the commonplace assumption that privacy has little or no role and relevance in competition law, the author’s penetrating analysis accomplishes the following and more: provides an in-depth understanding of the intersection of competition and privacy in the data-driven economy; surveys legal policy developments on the role of privacy in competition law; underlines the importance of non-price parameters in competition, such as consumer choice; clearly explains why and how competition law can protect privacy among its policy objectives; and addresses challenges in measuring the intangible harm of digital privacy violation in assessing abuse of market power. Recent case law in Europe and elsewhere, a revealing comparison between relevant European Union (EU) and United States (US) practice, the expanded role of the EU’s Competition Commissioner, and the likely impact of such phenomena as the coronavirus pandemic are all drawn into the book’s remit. In her analysis of the growing privacy dimension in competition policy, the author examines the topic from a broad perspective that includes societal, political, economic, historical and cultural elements. Her insightful multidimensional and value-based review will prove of immeasurable value to practitioners, academics, policymakers and enforcers in its identification of implications for business practice as we go forward.
Publisher: Kluwer Law International B.V.
ISBN: 9403522240
Category : Law
Languages : en
Pages : 431
Book Description
Increasingly, we conduct our lives online, and in doing so, we grant access to our personal information. The crucial feedstock of the world economy thus generated - the commercialization and exploitation of personal data and the intrusion of digital privacy it entails - has built an imposing edifice of market power. As we enter the third decade of the 21st century, this detailed exploration of the interlinkage between competition and data privacy takes a critical look at competition policy to evaluate whether the system in its current form and with the existing approach is capable of tackling the challenges raised by the role of personal data in the shift from an offline to an online economy. Challenging the commonplace assumption that privacy has little or no role and relevance in competition law, the author’s penetrating analysis accomplishes the following and more: provides an in-depth understanding of the intersection of competition and privacy in the data-driven economy; surveys legal policy developments on the role of privacy in competition law; underlines the importance of non-price parameters in competition, such as consumer choice; clearly explains why and how competition law can protect privacy among its policy objectives; and addresses challenges in measuring the intangible harm of digital privacy violation in assessing abuse of market power. Recent case law in Europe and elsewhere, a revealing comparison between relevant European Union (EU) and United States (US) practice, the expanded role of the EU’s Competition Commissioner, and the likely impact of such phenomena as the coronavirus pandemic are all drawn into the book’s remit. In her analysis of the growing privacy dimension in competition policy, the author examines the topic from a broad perspective that includes societal, political, economic, historical and cultural elements. Her insightful multidimensional and value-based review will prove of immeasurable value to practitioners, academics, policymakers and enforcers in its identification of implications for business practice as we go forward.
Data Justice and COVID-19
Author: Linnet Taylor
Publisher:
ISBN: 9781913824006
Category :
Languages : en
Pages :
Book Description
COVID-19 has reshaped how social, economic, and political power is created and exerted through technology.Through international case studies, this book analyses how technologies of monitoring infections, information, and behaviour have been applied and justified during the emergency, what their side-effects have been, and what kinds of resistance they have met.
Publisher:
ISBN: 9781913824006
Category :
Languages : en
Pages :
Book Description
COVID-19 has reshaped how social, economic, and political power is created and exerted through technology.Through international case studies, this book analyses how technologies of monitoring infections, information, and behaviour have been applied and justified during the emergency, what their side-effects have been, and what kinds of resistance they have met.
Data privacy law in Africa: Emerging perspectives
Author: Lukman Adebisi Abdulrauf
Publisher: Pretoria University Law Press
ISBN:
Category : Law
Languages : en
Pages : 392
Book Description
Data privacy law in Africa: Emerging perspectives delves into the profound impact of data privacy on individuals, businesses, and governments across the continent. Experts from diverse African nations provide a comprehensive view of the evolving regulatory frameworks guiding data privacy, exploring its legal, social, economic, and cultural implications. Examining emerging contexts such as Artificial Intelligence, vulnerable groups, and the challenges presented by COVID-19, the book sheds light on the present and envisions future trajectories in data governance. A valuable resource for those navigating the intricate intersection of law and technology in Africa, offering innovative solutions and best practices for enhanced data privacy.
Publisher: Pretoria University Law Press
ISBN:
Category : Law
Languages : en
Pages : 392
Book Description
Data privacy law in Africa: Emerging perspectives delves into the profound impact of data privacy on individuals, businesses, and governments across the continent. Experts from diverse African nations provide a comprehensive view of the evolving regulatory frameworks guiding data privacy, exploring its legal, social, economic, and cultural implications. Examining emerging contexts such as Artificial Intelligence, vulnerable groups, and the challenges presented by COVID-19, the book sheds light on the present and envisions future trajectories in data governance. A valuable resource for those navigating the intricate intersection of law and technology in Africa, offering innovative solutions and best practices for enhanced data privacy.
Data Protection in a Post-Pandemic Society
Author: Chaminda Hewage
Publisher: Springer Nature
ISBN: 303134006X
Category : Computers
Languages : en
Pages : 246
Book Description
This book offers the latest research results and predictions in data protection with a special focus on post-pandemic society. This book also includes various case studies and applications on data protection. It includes the Internet of Things (IoT), smart cities, federated learning, Metaverse, cryptography and cybersecurity. Data protection has burst onto the computer security scene due to the increased interest in securing personal data. Data protection is a key aspect of information security where personal and business data need to be protected from unauthorized access and modification. The stolen personal information has been used for many purposes such as ransom, bullying and identity theft. Due to the wider usage of the Internet and social media applications, people make themselves vulnerable by sharing personal data. This book discusses the challenges associated with personal data protection prior, during and post COVID-19 pandemic. Some of these challenges are caused by the technological advancements (e.g. Artificial Intelligence (AI)/Machine Learning (ML) and ChatGPT). In order to preserve the privacy of the data involved, there are novel techniques such as zero knowledge proof, fully homomorphic encryption, multi-party computations are being deployed. The tension between data privacy and data utility drive innovation in this area where numerous start-ups around the world have started receiving funding from government agencies and venture capitalists. This fuels the adoption of privacy-preserving data computation techniques in real application and the field is rapidly evolving. Researchers and students studying/working in data protection and related security fields will find this book useful as a reference.
Publisher: Springer Nature
ISBN: 303134006X
Category : Computers
Languages : en
Pages : 246
Book Description
This book offers the latest research results and predictions in data protection with a special focus on post-pandemic society. This book also includes various case studies and applications on data protection. It includes the Internet of Things (IoT), smart cities, federated learning, Metaverse, cryptography and cybersecurity. Data protection has burst onto the computer security scene due to the increased interest in securing personal data. Data protection is a key aspect of information security where personal and business data need to be protected from unauthorized access and modification. The stolen personal information has been used for many purposes such as ransom, bullying and identity theft. Due to the wider usage of the Internet and social media applications, people make themselves vulnerable by sharing personal data. This book discusses the challenges associated with personal data protection prior, during and post COVID-19 pandemic. Some of these challenges are caused by the technological advancements (e.g. Artificial Intelligence (AI)/Machine Learning (ML) and ChatGPT). In order to preserve the privacy of the data involved, there are novel techniques such as zero knowledge proof, fully homomorphic encryption, multi-party computations are being deployed. The tension between data privacy and data utility drive innovation in this area where numerous start-ups around the world have started receiving funding from government agencies and venture capitalists. This fuels the adoption of privacy-preserving data computation techniques in real application and the field is rapidly evolving. Researchers and students studying/working in data protection and related security fields will find this book useful as a reference.