Lyria Bennett Moses
Biographic Data
| ID | 2744567 |
|---|---|
| NAME | Lyria Bennett Moses |
| GIVEN NAMES | Lyria Bennett |
| FAMILY NAME | Moses |
| SIGNATURE | MOSES L B |
| AFFILIATIONS | UNSW Sydney |
| ORCID | 0000-0003-2571-1469 |
| VERIFIED | Yes |
| TOTAL WORKS | 19 |
| TOTAL CITATIONS | 73 |
| WORKS AS AUTHOR | 19 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 4 |
Public Attitudes Towards Government Surveillance of Social Media in Australia
The widespread availability of personal data on the internet has given rise to significant concerns about the power and reach of state and corporate surveillance of the population. Researchers have suggested that ordinary citizens generally lack knowledge and control over online personal data and this has led to a sense of resignation in relation to such surveillance. This paper conceptualises public attitudes towards state surveillance within Ja…
Technology-Facilitated Domestic and Family Violence
Technology and privacy can be a double-edged sword for those experiencing domestic and family violence (DFV). Technology can be a mechanism for abuse and coercive control but is also offered to victim-survivors as a ‘solution’ to reduce risk and protect their safety. In theory, the law protects the privacy rights of victim-survivors, but poor practice and lapses in security mean that their information is often shared with those who seek to harm t…
Datafication and the practice of intelligence production
Datafication of social life affects what society regards as knowledge. Jasanoff’s regimes of sight framework provides three ideal-type models of authorised knowing in environmental data practice. This paper applies Jasanoff's framework for analysing intelligence practice through an exploratory empirical study of crime and intelligence practitioners in a selection of police services in Australia, New Zealand, Canada and the United States. The pape…
Submission on Australia’s Cyber Security Regulations and Incentives
Rules in information sharing for security
Information sharing has become a central concern for security agencies since 9/11. Previous research has identified a number of barriers to information sharing among agencies: a combination of legal or policy constraints, interagency rivalry and mistrust, and technology. Drawing on ideas from the sociology of information and trust, this article conceptualises the sharing/withholding of information between agencies as dependent on rules as a syste…
Who Owns Information? Law Enforcement Information Sharing as a Case Study in Conceptual Confusion
This article addresses the real impacts of conceptual confusion surrounding statutory language linking entities and information for purposes such as privacy, freedom of information, archiving, policing and evidence laws. The idea of ownership of information (which is assumed in the statutory allocation of powers of control and responsibilities) is captured in a confusing miscellany of terminology that differs across jurisdictions and contexts. It…
The changing role of the law enforcement analyst
Enhanced opportunities to use new techniques to derive insights from large volumes of data have potential to change the role of the law enforcement analyst. Alongside this growing potential is a push toward professionalisation for crime and intelligence analysis as an occupation. In this paper, we explore the extent to which existing descriptions of core competencies reflect skills identified as important by analysts and their managers. We draw o…
The Rule of Law and Automation of Government Decision‐Making
Governments around the world are deploying automation tools in making decisions that affect rights and entitlements. The interests affected are very broad, ranging from time spent in detention to the receipt of social security benefits. This article focusses on the impact on rule of law values of automation using: (1) pre‐programmed rules (for example, expert systems); and (2) predictive inferencing whereby rules are derived from historic data (s…
Is Your Algorithm Dangerous? [Leading Edge]
Much has been written about artificial intelligence, both from the perspective of possibilities and opportunities as well as from the perspective of risks and limitations. Here I make a simple point — evaluating the appropriateness of an algorithm requires understanding the domain space in which it will operate. While data science enables one to transcend expertise in a particular domain, it nevertheless requires a deep familiarity with the quest…
Data associations in global law and policy
Social phenomena—or the condition of society—may be “seized indirectly when there is a slight change in one older association mutating into a slightly newer or different one” (Latour, 2005: 36). The aim of this special issue is to trace mutations underway in those associations rendered or experienced in data and to probe some patterns that these changing ties draw. In particular, contributors to this issue reflect upon associations traceable in d…
The Challenges of Doing Criminology in the Big Data Era
This paper considers emerging challenges and opportunities confronting criminology in the age of Big Data. The mass proliferation of digital media/recording devices into social life is transforming in profound ways how crime is organized, perpetrated, experienced, represented, detected and controlled. Moreover, the extensive daily use of these technologies by institutions and individuals alike produces immense quantities of data that mediate soci…
Algorithmic prediction in policing
The goal of predictive policing is to forecast where and when crimes will take place in the future. The idea has captured the imagination of law enforcement agencies around the world. Many agencies are purchasing software tools with the goal of reducing crime by mapping the likely locations of future crime to guide the deployment of police resources. Yet the claims and promises of predictive policing have not been subject to critical examination.…
Making Sense of Big Data for Security
Big Data technologies hold great promise for improved efficiency and effectiveness for law enforcement and national security. This article explores the potential impact of Big Data on the production of security in society. Building on a Bourdesian framework for analysing police and new technologies, the article draws on empirical data from an Australian study to examine how security agents made sense of the capability and value of Big Data and de…
The Productivity Commission
This empirical study analyses the extent to which the Productivity Commission (Commission) relies on different types of evidence in formulating recommendations in a sample of reports. It goes deeper than traditional citation analysis; rather than classifying and counting all material cited in each sample report, it includes only citations that influenced the final recommendations. The findings, which run counter to the rhetoric employed in relati…
Is Big Data challenging criminology
The advent of ‘Big Data’ and machine learning algorithms is predicted to transform how we work and think. Specifically, it is said that the capacity of Big Data analytics to move from sampling to census, its ability to deal with messy data and the demonstrated utility of moving from causality to correlation have fundamentally changed the practice of social sciences. Some have even predicted the end of theory—where the question why is replaced by …
Regulating Beyond Nanotechnology
When a new technology generates a need for legal change, there are questions about the form that change should take. The fact that legal problems accompany the introduction of nanotechnology does not mean that all related legal amendments are optimally limited to that context. This article considers some of the disadvantages of creating nano-specific sui generis rules to cope with legal and regulatory issues arising out of nanotechnology
Agents of Change
The difficulty of adapting legal frameworks to changing circumstances is often represented by images of ʻlawʼ losing a race. Such visions are commonly raised in scholarship concerned with particular problems that arise in applying existing legal rules to new situations, particularly situations involving new technologies. The dilemmas encountered in adapting legal frameworks to technological change rarely persist indefinitely, however. While no in…
Exploring Technological Frontiers
In 1999, Barton Beebe critiqued a “golden age” of space law in the 1950s and 1960s in which obscure legal issues concerning space exploration and aliens were addressed. This article describes a more recent “golden age” in legal scholarship, namely that relating to virtual worlds such as World of Warcraft and Second Life. The author examines the motivations of legal scholars who write about legal issues at this new technological frontier. She conc…
The Legal Landscape Following Technological Change
This article identifies the types of legal issues that result from technological change and discusses the different institutions involved in resolving those problems. It demonstrates that, despite the focus on political solutions, other institutions also have a role to play in solving legal dilemmas presented by technological change. Legislation may not always be necessary and can cause problems, especially where a technology is likely to evolve …
Algorithmic prediction in policing
The goal of predictive policing is to forecast where and when crimes will take place in the future. The idea has captured the imagination of law enforcement agencies around the world. Many agencies are purchasing software tools with the goal of reducing crime by mapping the likely locations of future crime to guide the deployment of police resources. Yet the claims and promises of predictive policing have not been subject to critical examination.…
Is Big Data challenging criminology
The advent of ‘Big Data’ and machine learning algorithms is predicted to transform how we work and think. Specifically, it is said that the capacity of Big Data analytics to move from sampling to census, its ability to deal with messy data and the demonstrated utility of moving from causality to correlation have fundamentally changed the practice of social sciences. Some have even predicted the end of theory—where the question why is replaced by …
The Challenges of Doing Criminology in the Big Data Era
This paper considers emerging challenges and opportunities confronting criminology in the age of Big Data. The mass proliferation of digital media/recording devices into social life is transforming in profound ways how crime is organized, perpetrated, experienced, represented, detected and controlled. Moreover, the extensive daily use of these technologies by institutions and individuals alike produces immense quantities of data that mediate soci…
The Rule of Law and Automation of Government Decision‐Making
Governments around the world are deploying automation tools in making decisions that affect rights and entitlements. The interests affected are very broad, ranging from time spent in detention to the receipt of social security benefits. This article focusses on the impact on rule of law values of automation using: (1) pre‐programmed rules (for example, expert systems); and (2) predictive inferencing whereby rules are derived from historic data (s…
The changing role of the law enforcement analyst
Enhanced opportunities to use new techniques to derive insights from large volumes of data have potential to change the role of the law enforcement analyst. Alongside this growing potential is a push toward professionalisation for crime and intelligence analysis as an occupation. In this paper, we explore the extent to which existing descriptions of core competencies reflect skills identified as important by analysts and their managers. We draw o…
Data associations in global law and policy
Social phenomena—or the condition of society—may be “seized indirectly when there is a slight change in one older association mutating into a slightly newer or different one” (Latour, 2005: 36). The aim of this special issue is to trace mutations underway in those associations rendered or experienced in data and to probe some patterns that these changing ties draw. In particular, contributors to this issue reflect upon associations traceable in d…
The Legal Landscape Following Technological Change
This article identifies the types of legal issues that result from technological change and discusses the different institutions involved in resolving those problems. It demonstrates that, despite the focus on political solutions, other institutions also have a role to play in solving legal dilemmas presented by technological change. Legislation may not always be necessary and can cause problems, especially where a technology is likely to evolve …
Exploring Technological Frontiers
In 1999, Barton Beebe critiqued a “golden age” of space law in the 1950s and 1960s in which obscure legal issues concerning space exploration and aliens were addressed. This article describes a more recent “golden age” in legal scholarship, namely that relating to virtual worlds such as World of Warcraft and Second Life. The author examines the motivations of legal scholars who write about legal issues at this new technological frontier. She conc…
Regulating Beyond Nanotechnology
When a new technology generates a need for legal change, there are questions about the form that change should take. The fact that legal problems accompany the introduction of nanotechnology does not mean that all related legal amendments are optimally limited to that context. This article considers some of the disadvantages of creating nano-specific sui generis rules to cope with legal and regulatory issues arising out of nanotechnology
Agents of Change
The difficulty of adapting legal frameworks to changing circumstances is often represented by images of ʻlawʼ losing a race. Such visions are commonly raised in scholarship concerned with particular problems that arise in applying existing legal rules to new situations, particularly situations involving new technologies. The dilemmas encountered in adapting legal frameworks to technological change rarely persist indefinitely, however. While no in…
The Productivity Commission
This empirical study analyses the extent to which the Productivity Commission (Commission) relies on different types of evidence in formulating recommendations in a sample of reports. It goes deeper than traditional citation analysis; rather than classifying and counting all material cited in each sample report, it includes only citations that influenced the final recommendations. The findings, which run counter to the rhetoric employed in relati…
Is Big Data challenging criminology
The advent of ‘Big Data’ and machine learning algorithms is predicted to transform how we work and think. Specifically, it is said that the capacity of Big Data analytics to move from sampling to census, its ability to deal with messy data and the demonstrated utility of moving from causality to correlation have fundamentally changed the practice of social sciences. Some have even predicted the end of theory—where the question why is replaced by …
Algorithmic prediction in policing
The goal of predictive policing is to forecast where and when crimes will take place in the future. The idea has captured the imagination of law enforcement agencies around the world. Many agencies are purchasing software tools with the goal of reducing crime by mapping the likely locations of future crime to guide the deployment of police resources. Yet the claims and promises of predictive policing have not been subject to critical examination.…
Making Sense of Big Data for Security
Big Data technologies hold great promise for improved efficiency and effectiveness for law enforcement and national security. This article explores the potential impact of Big Data on the production of security in society. Building on a Bourdesian framework for analysing police and new technologies, the article draws on empirical data from an Australian study to examine how security agents made sense of the capability and value of Big Data and de…
The Challenges of Doing Criminology in the Big Data Era
This paper considers emerging challenges and opportunities confronting criminology in the age of Big Data. The mass proliferation of digital media/recording devices into social life is transforming in profound ways how crime is organized, perpetrated, experienced, represented, detected and controlled. Moreover, the extensive daily use of these technologies by institutions and individuals alike produces immense quantities of data that mediate soci…
Is Your Algorithm Dangerous? [Leading Edge]
Much has been written about artificial intelligence, both from the perspective of possibilities and opportunities as well as from the perspective of risks and limitations. Here I make a simple point — evaluating the appropriateness of an algorithm requires understanding the domain space in which it will operate. While data science enables one to transcend expertise in a particular domain, it nevertheless requires a deep familiarity with the quest…
Data associations in global law and policy
Social phenomena—or the condition of society—may be “seized indirectly when there is a slight change in one older association mutating into a slightly newer or different one” (Latour, 2005: 36). The aim of this special issue is to trace mutations underway in those associations rendered or experienced in data and to probe some patterns that these changing ties draw. In particular, contributors to this issue reflect upon associations traceable in d…
The changing role of the law enforcement analyst
Enhanced opportunities to use new techniques to derive insights from large volumes of data have potential to change the role of the law enforcement analyst. Alongside this growing potential is a push toward professionalisation for crime and intelligence analysis as an occupation. In this paper, we explore the extent to which existing descriptions of core competencies reflect skills identified as important by analysts and their managers. We draw o…
The Rule of Law and Automation of Government Decision‐Making
Governments around the world are deploying automation tools in making decisions that affect rights and entitlements. The interests affected are very broad, ranging from time spent in detention to the receipt of social security benefits. This article focusses on the impact on rule of law values of automation using: (1) pre‐programmed rules (for example, expert systems); and (2) predictive inferencing whereby rules are derived from historic data (s…
Rules in information sharing for security
Information sharing has become a central concern for security agencies since 9/11. Previous research has identified a number of barriers to information sharing among agencies: a combination of legal or policy constraints, interagency rivalry and mistrust, and technology. Drawing on ideas from the sociology of information and trust, this article conceptualises the sharing/withholding of information between agencies as dependent on rules as a syste…
Who Owns Information? Law Enforcement Information Sharing as a Case Study in Conceptual Confusion
This article addresses the real impacts of conceptual confusion surrounding statutory language linking entities and information for purposes such as privacy, freedom of information, archiving, policing and evidence laws. The idea of ownership of information (which is assumed in the statutory allocation of powers of control and responsibilities) is captured in a confusing miscellany of terminology that differs across jurisdictions and contexts. It…
Submission on Australia’s Cyber Security Regulations and Incentives
Technology-Facilitated Domestic and Family Violence
Technology and privacy can be a double-edged sword for those experiencing domestic and family violence (DFV). Technology can be a mechanism for abuse and coercive control but is also offered to victim-survivors as a ‘solution’ to reduce risk and protect their safety. In theory, the law protects the privacy rights of victim-survivors, but poor practice and lapses in security mean that their information is often shared with those who seek to harm t…
Datafication and the practice of intelligence production
Datafication of social life affects what society regards as knowledge. Jasanoff’s regimes of sight framework provides three ideal-type models of authorised knowing in environmental data practice. This paper applies Jasanoff's framework for analysing intelligence practice through an exploratory empirical study of crime and intelligence practitioners in a selection of police services in Australia, New Zealand, Canada and the United States. The pape…
Public Attitudes Towards Government Surveillance of Social Media in Australia
The widespread availability of personal data on the internet has given rise to significant concerns about the power and reach of state and corporate surveillance of the population. Researchers have suggested that ordinary citizens generally lack knowledge and control over online personal data and this has led to a sense of resignation in relation to such surveillance. This paper conceptualises public attitudes towards state surveillance within Ja…
Political science (16 works) · Computer Science (14 works) · Law (14 works) · Sociology (10 works) · Business (7 works) · Computer security (6 works) · Crime Patterns and Interventions (6 works) · Law (6 works) · Psychology (6 works) · Public relations (6 works)