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This project interrogates the United States' national fixation on the answer to the question: Who are you? In this article, it is posed that identity documentation practices arising out of the Chinese Exclusion Act era cast identity as an empirical and immutable phenomenon, specifically in response to the racialization of American-born Chinese settlers as duplicitous, through the mechanisms that information is collected, the actual information itself, and the cross-references or connections created between cases. Through tracing this lineage, racialized identification data is identified and theorized as part of hegemonic data regimes. [ABSTRACT FROM AUTHOR]

The paper explores how Generative AI intersects with Competition Law, focusing on Foundation Models (FMs) and Large Language Models (LLMs). It examines industry dynamics and identifies key competition issues like entry barriers, tying, leveraging, and acquisitions. It highlights the supply chain's importance and looks at how FMs are integrated into search software, chatbots, and productivity tools, particularly noting entry barriers such as computing power and data collection. It suggests that FMs might require new approaches to market delineation, possibly creating a separate relevant market for data. The paper also discusses various cases pertaining to tying and leveraging and highlights the difficulty in proving tying due to the blurred lines between traditional search engines and AI chatbots. It illustrates how competition assessments for acquisitions may require changes due to data being a highly flexible commodity for the industry. The paper concludes by calling for increased scrutiny and regulation for the industry. [ABSTRACT FROM AUTHOR]

Relating electoral laws to electoral integrity has long been a focus of academic research. Using the strategic-relational approach, as outlined in this special issue, it is possible to better understand how electoral laws shape the voter experience and electoral outcomes. This paper contributes to this understanding by looking at Voter Identification (ID) laws. With no consolidated dataset of voter ID laws existing outside the U.S.A. it is difficult to answer research questions put forward in this special issue, especially the second. This paper begins to address this shortfall by presenting the Comparative Voter ID Law (CVIL) index. Which has collected data on 246 individual electoral jurisdictions. Data presented show how voter ID laws are distributed globally, regionally, by regime type and level of democracy. The second part of the analysis goes on to describe voter ID laws by whether a jurisdiction has compulsory ID laws, how many different types of ID are accepted and the minimum number of ID documents that must be shown. Thirdly, other variables within the dataset are described. The CVIL will provide opportunities to understand how Voter ID laws are part of institutional design, are used by actors, shape the voter experience and electoral out-comes. [ABSTRACT FROM AUTHOR]

New tools are being explored to provide collective and participatory means of governing data to promote the management of data in ways that benefit those from whom data is collected. This paper discusses whether data trusts are feasible structures in an African context by outlining specific considerations that should be prioritised in the development of bottom-up and collective models of data governance on the continent. Making use of international instruments, principles and established values like Ubuntu, the paper analyses the importance of collective decision-making through collective and participatory governance, women's empowerment, and capacity-building, and how the alignment of data trusts to African contexts could help balance historical power differentials, and emphasise heterogeneity as the starting point of all discussions in the digital age. [ABSTRACT FROM AUTHOR]

Most secondary (high) schools in a broad range of jurisdictions internationally engage in various forms of high stakes, standardized assessment and related qualifications. In this paper, we interrogate how educational achievement regimes – especially via the reporting of curriculum and assessment ‘data’ – continue to mobilize particular gender norms. Drawing on Derrida’s notion of haunting we explore how such regimes impose and reinscribe stable and binary gendered patterning and create what Barad has named ‘entangled relationalities of inheritance’ [https://doi.org/10.3366/drt.2010.0206,] despite young people (and many schools) moving towards greater recognition of non-binary genders. Drawing on assessment data from Aotearoa New Zealand, we look at both generalized reporting of educational achievement data along the lines of ‘male’ and ‘female’ and on reporting of a single (historically gendered) curriculum subject – health education. We argue that such systems are ‘haunted’ by stable gender categorizations and hierarchies and we ask what this means for the reporting of educational assessment data and the erasure of identities that don’t align with the binary. [ABSTRACT FROM AUTHOR]

In this paper, the authors have used Block Chain technology for tie-line power transferred data in respect to trustworthy monitoring, non-tamper proof and traceability. Nepanagar–Dharni tie-line between MP Electricity Board and Maharashtra Electricity Board is considered. Also, an example of a solar power plant connected to the grid and a consumer is considered to show the security concern using Block Chain Technology. The intrinsic features of decentralized block chain technology enable the grid owner, utility and consumer to maintain the privacy and security of the data set and Image sharing of tie-line power transferred data and Image. The smart contract can register and authorize the grid corporation authority to access the tie-line power transferred during the period and make payments to the concern in compliance with the regulatory and involved parties' consent policy. Security's role as a trust model is used to sort out the discrepancy in the exchange for power monitored by the phase measurement unit. Distributed and scalable data models based on the block chain are implemented using a heterogeneous set of MYSQL database management systems, hosted on the AWS cloud. If the power is transferred to a tie line connected to the Railway traction system, the data and Image of the train and its status can be secured with block chain. [ABSTRACT FROM AUTHOR]

From our current vantage point, Michael Goodchild's (1992) game-changing ‘Geographical Information Science’ paper roughly bisects the history of our field from its beginnings in the1960s to the present. This makes it an appropriate landmark around which to organize some reflections on the evolution of geographic information science, and more particularly on Goodchild's role in the developments that have defined it these past 20 years. The focus here is on intellectual leadership rather than on any direct scholarly contributions, though scholarship provides the backbone of the narrative. The clearly spelled out research agenda that lies at the core of the 1992 paper and a handful of subsequent essays greatly facilitate that task. This paper explores different facets of Goodchild's leadership in sections titled ‘Naming’, ‘Adapting’, ‘Accepting’, ‘Persevering’, ‘Educating’, and finally, ‘Leading’, and provides evidence that, like any other science, geographic information science is a social as well as an intellectual enterprise. An aspect of the social function of intellectual leadership is that Goodchild's continuing role as agenda-setter for the diverse field of geographic information science goes well beyond generating disciples and followers; it also stimulates dialectic responses from researchers coming from quite different perspectives, thus contributing to the broadening and deepening of the field. [ABSTRACT FROM AUTHOR]

This paper is a collaborative effort between academic researchers and practitioners to consider the conditions under which global benchmarking may be used as a tool for supporting urban transformation. Reflecting on WWF's One Planet City Challenge and UN-Habitat's Guiding Principles for City Climate Action Planning, the paper suggests that the practice of global benchmarking can be transformative through encouraging organisational learning and reflection, building relationships between cities and global and trans-local organisations, and governing for structurally transformative qualities. However, the practice of benchmarking is not without potential tensions: they may reify existing practices rather than reforming them, be less usable for or accessible to cities in lower income countries, and may neglect issues of climate justice, which are not easily reduced to comparative measures of success or failure. This suggests that a wholesale reliance on benchmarking as a mode of governing climate change might risk marginalising certain issues and amplifying others. We conclude by recommending improved material and technical support for urban data collection and suggest that benchmarking should be combined with a broader suite of performance indicators and reflective practices in order to support urban transformation. [ABSTRACT FROM AUTHOR]

We present an intriguing topic in a mathematical modelling course where Lanchester models are taught to our students. Lanchester models are some of the earliest and most important models used for combat modelling. We describe modelling activities and the use of technology that can be implemented in teaching this topic in this paper. [ABSTRACT FROM AUTHOR]

With the increased use of data in the governance of education, studies on how human beings interact with data become increasingly important. Recent scholarship has conceptualized human responses to data through the notion of affectivity. While this conceptualization offers a viable alternative to previous rational choice theorizations of human responses to data that over-emphasize rational though, it in turn under-emphasizes rational thought. This paper theorizes human responses to data as a matter of being set in motion by data, a term that includes rational thought, affect, and other responses. Through the philosophy of agential realism and an empirical analysis of various actors engaging with Danish graduate unemployment data, the paper elaborates how data and human beings (among other entities) intra-act and how human beings are affected by data, both in terms of what the data articulate and in terms of a code of conduct for dealing with data. [ABSTRACT FROM AUTHOR]

Health policy and academic discourses on rare diseases and people with rare conditions frequently employ terms such as 'low prevalence' and 'unique' to characterize the smallness of the population under consideration and to justify targeted action toward these patient groups. This paper draws from recent anthropological scholarship on smallness and data, ethnographic research in Finland and Poland, as well as document and media analysis to examine how data is utilized in the context of isolated populations that are considered sites of rare diseases in these two countries. Specifically, this paper juxtaposes the notion of Finnish Disease Heritage (FDH) with that of a 'Kashubian gene' in Poland. The concept of FDH was developed by Finnish researchers in the 1970s; it encompasses almost forty rare hereditary diseases that are significantly more prevalent in Finland than elsewhere globally. On the other hand, the notion of the 'Kashubian gene' was first utilized by the media and some members of the Polish medical community around 2008. Based on 'unstable' data gathered during genetic research, the term referred to the high prevalence of a rare metabolic disorder (Long-Chain 3-Hydroxyacyl-CoA Dehydrogenase (LCHAD) deficiency) among Kashubians, an ethnic minority that resides in Northern Poland's Pomerania region. Whereas FDH facilitated the production and branding of 'a unique Finnish genetic identity' (Tupasela 2016b, 61), the notion of the 'Kashubian gene' has engendered health policy interventions targeting members of this ethnic minority and has contributed to stigmatizing practices carried out against Kashubians. [ABSTRACT FROM AUTHOR]

This paper describes a multi-year project to inform academic development (AD) for instructors at a large university, as the result of a shift towards greater equity, diversity, inclusion, and access (EDIA) efforts. A variety of data were collected, along with extant literature focused on teaching and learning, to identify campus needs and priorities for AD, resulting in a signature pedagogy: the Framework for Inclusive Teaching Excellence. FITE enables a shared understanding of teaching and learning with an EDIA lens, which has been integrated across all aspects of AD programming and informs how teaching and learning are valued and assessed. [ABSTRACT FROM AUTHOR]

This conceptual paper aims to serve two purposes: 1) introduce theories of surveillance to aid leisure scholars in exploring surveillance in its many forms; and, 2) add to the discussion on surveillance by layering "the leisure body" onto existing theory. We begin by introducing three groupings of "surveillance" theory: panoptic surveillance (think Bentham and Foucault), post-panoptical surveillance (think Deleuze), and contemporary surveillance (Galič et al., 2017). Panoptic surveillance is a physical surveillance (reliant on a fleshy body and physical space) where, like in Bentham's and Foucault's panopticons, the individual polices personal presentation and action under the presumption of being watched. We theorize this as surveillance on the body; it is body-to-body even as it is mediated through technology. Post-panoptical surveillance is less dependent on distinct, physical spaces, and particularly those of enclosure. We theorize this as the digital merging with the physical, where surveillance comes from the interaction of the technological with the fleshy body. Although this surveillance is less reliant on specific times and spaces—occurring within or through the body—it is nonetheless conditioned by our physical connections to technological devices. This is technology-to-body surveillance that is dependent on a physical interaction between the two. Contemporary surveillance is not dependent upon a physical linkage between technology and the body or a space of enclosure; it both marks an individual and simultaneously dissolves them into an ocean of big data. It is an inescapable surveillance as existence in the modern world. We call this technobody surveillance where the need for the interaction between technologies and fleshy bodies is subsumed by the gaseous and pervasive nature of apparatuses of surveillance. With each, we provide an exemplar from leisure practice, time, and/or space to illustrate how each operates within leisure phenomena. [ABSTRACT FROM AUTHOR]

In this paper, a change to the remit and title of a UK government department provides a starting point for reflection on the growing role of digital technologies in the re-imagination of UK cultural policy. An early strategic report produced by the re-named DCMS was entitled Culture is Digital. Identifying the UK's cultural and technology sectors as 'the ultimate power couple,' this report directs the cultural sector towards the use of technology to enhance public engagement and to improve technical skills through the development of collaborations with technology companies. Reflecting on the place of DCMS in UK cultural policymaking and drawing on analysis of this report and associated strategic documents, including responses and updates produced in the light of the Covid pandemic, the paper analyses the claims made about the elision between culture and the digital and their consequences for the status of cultural policy within the British state. [ABSTRACT FROM AUTHOR]

Artificial Intelligence (AI) is central to transformative changes happening in many industries, perhaps potentially to a fourth industrial revolution, but it has also raised a storm of ethical concerns. Information professionals need to navigate these ethical issues effectively because they are likely to use AI in delivering services as well as contributing to the process of adoption of AI more widely in their organisations. Professional ethical codes are too high level to offer precise or complete guidance. In this context, the purpose of this paper is to review the relevant literature and describe eight ethics scenarios of AI which have been developed specifically for information professionals to understand the issues in a concrete form. The paper considers how AI might be defined and presents some of the applications relevant to the information profession. It then summarises the key ethical issues raised by AI in general both those inherent to the technology and those arising from the nature of the AI industry. It considers existing studies that have discussed aspects of the ethical issues specifically for information professionals. It then describes a set of eight ethics scenarios that have been developed and shared in an open form to promote their reuse. [ABSTRACT FROM AUTHOR]

Faced with an increasing level of disruption from natural disasters, terrorist attacks or internal failures, organisations need to ensure their business continuity. Ensuring this continuity depends, among other things, on the continuous assessment, monitoring, and management of their resilience based on the variations of the functionalities. Resilience-assessment methodologies are nowadays used to (1) prepare stakeholders for future crisis management situations and (2) help stakeholders assess past levels of resilience in the aftermath of the crisis. However, continuous, real-time monitoring and assessment of resilience is generally either outside the scope of such methods or limited to raw data representation, lacking effective filtering, interpretation, or integration in the evolving context of the organisation's activities. This paper enhances previous works on resilience assessment. The result is a complementary methodology for continuous, real-time resilience assessment and monitoring based on multiple data-sources and stakeholders. The novelty is (1) in the context of use of the methodology, (2) in the way the functionality analysis model is obtained and (3) in the way the resilience is continuously assessed. [ABSTRACT FROM AUTHOR]

This paper explores how trust in teacher professional judgment has been reconstituted through the globalised trends of performative accountability and reductive data-driven logics. The article draws upon empirical research from interviews with teachers and school leaders as well as observations of teacher preparation days, classroom and staff professional learning communities (PLCs), as part of a larger study of schooling practices in two geographically and contextually bound Queensland public schools. The paper focuses attention upon the socio-political, material-economic and cultural-discursive conditions inscribed in how data are currently understood and deployed, and how these conditions constrain trust in teachers, devaluing teachers' own professional judgment. Specifically, we flag how the practices and conditions that constrained trust were manifest in a) pressures to ensure teachers generated and collected data on an ongoing basis to substantiate their claims about student learning, and b) a perceived mistrust amongst parents and a subsequent need to justify decision-making on the basis of 'hard evidence'. [ABSTRACT FROM AUTHOR]

This paper considers the subjectivation of students in light of the increasing amounts of digital data that are now being produced within schools. Taking a lead from critical data studies and the sociology of numbers, the paper draws on staff interviews in three Australian secondary schools to explore the various types of student data being generated, and the forms of student subjectivities that result. In particular, the paper contrasts the 'holistic' possibilities that some school leaders and administrators ascribe to data in terms of expanding the capacity to 'know' students, against the limited ways that data is actually being used within the schools. Most notably, the paper details how digital data appears to be configured within schools' official data procedures and practices to build student subjectivities and position students in narrow terms of performance and attendance. The paper also highlights how teachers make practical use of these limited data 'profiles' in a relational manner – as a way of stimulating dialogue with students to know them better, rather than a source of precise calculation. In this sense, the paper considers how 'data' might be reframed in educational discourse as a practical starting-point for teacher inquiry and professional judgment rather than an imagined source of all-encompassing knowledge. [ABSTRACT FROM AUTHOR]

The intensification of data collection practices in schooling – often due to state accountability requirements – has resulted in the widespread adoption of commercial student management systems (SMS) in schools. Drawing on a qualitative case study of a New Zealand primary school, this paper investigates its adoption of a commercial SMS, and the ways this product re-engineers schooling processes, including what student data is collected, how school decisions are made, and when work is done by staff. Through this analysis, we argue direct-to-school commercial relationships constitute a new configuration of public–private partnerships in education. We demonstrate the rise of a local education market for data management where responsibility is placed on individual schools to choose a commercial product that will interface with the needs of a public bureaucracy. We end this paper with a critical discussion about how the commercialisation of school administration affects the broader infrastructures of public schooling. [ABSTRACT FROM AUTHOR]

This paper presents a literature review on the ethics of self-tracking technologies which are utilized by users to monitor parameters related to their activity and bodily parameters. By examining a total of 65 works extracted through a systematic database search and backwards snowballing, the authors of this review discuss three categories of opportunities and ten categories of concerns currently associated with self-tracking. The former include empowerment and well-being, contribution to health goals, and solidarity. The latter are social harms, privacy and surveillance, ownership control and commodification of data, autonomy, data-facilitated harm, datafication and interpretability of data, negative impact on relation to self and others, shortcomings of design, negative impact on health perception, and regulation and enforcement of rules. The review concludes with a critical analysis of the existing literature and an overview of a future research agenda that could complement the current work on ethics of self-tracking. [ABSTRACT FROM AUTHOR]

It has been recently suggested that if the Extended Mind thesis is true, mental privacy might be under serious threat. In this paper, I look into the details of this claim and propose that one way of dealing with this emerging threat requires that data ontology be enriched with an additional kind of data—viz., mental data. I explore how mental data relates to both data and metadata and suggest that, arguably, and by contrast with these existing categories of informational content, mental data should not be merely legally protected. Rather, if we value mental privacy as we know it, technological measures should be employed to ensure that one's mental data are practically—not just legally—impossible for others to obtain. [ABSTRACT FROM AUTHOR]

This article examines digital data use within three Australian secondary schools, drawing on in-depth interviews with 50 school staff to explore tensions between: (i) established logics of "data-driven" schooling; and (ii) emerging "datafied" practices associated with digital systems, platforms and devices. Using sociological theorisation of institutional logics, the article examines how promises of digital "dataism" are thwarted by the entrenched temporal organisation of schooling, and teacher-centred understandings of students as coerced subjects. As such, prevailing logics of state bureaucracy and professionalism combine in ways that temper the prospect of individualism, self-regulation, continuous feedback, and other implicit promises of digital data. The paper considers the extent to which school data logics can endure amid the increased digitisation of K-12 education. [ABSTRACT FROM AUTHOR]

Although many contemporary demographers pay attention to historical demography, there is often a surprising lack of appreciation of the demographic circumstances and systems of the past, suggesting an implicit assumption that they are not relevant to the present or that the methods, data, and questions addressed by historical and contemporary demographers are different. This paper provides an overview of historical demography as published in Population Studies and how this has developed over time. Drawing on this, I demonstrate that historical and contemporary demography use similar data sources and identical methods, and they often address comparable questions. I argue that an appreciation of demographic patterns and processes is beneficial for all demographers, even those who work on the most recent time periods, and that better integration of historical and contemporary demography would be beneficial to both. The paper also considers three challenges for historical demography as it moves forward. [ABSTRACT FROM AUTHOR]

This paper examines the position of migration in population studies, focusing on the period 1996–2021. It considers the reasons why migration remains problematic for demographers, but also how approaches to migration have changed over the last 25 years. While it has arguably become more important to both demography and population studies because of the transition to low fertility and mortality, migration has metamorphosed into a complex field in its own right, almost independently from changes in demography. Both internal and international migration form the subject of this examination and four main themes are pursued: data and measurement; theories and approaches; migration and development; and migration and political demography. The papers published in the journal Population Studies are used to provide a mirror through which to view these changes over the last 25 years. This paper concludes by looking at likely future directions in migration studies, demography, and population studies. [ABSTRACT FROM AUTHOR]

This paper intends to outline a data integration response to the demands placed on the pastoral care department through the COVID-19 pandemic. Uniquely, these demands accelerated the need to implement documentation of care directed towards staff to complement the data derived from patient visitation. The motivation for this initiative is in part, to provide a complete picture of the care provided by hospital chaplains using an evidence-based approach through the implementation of data science. [ABSTRACT FROM AUTHOR]

With the increasing demands for data, the subscription scheme came into being in the face of pricing for an extensive and unfixed number of data items. However, in the existing subscription scheme, a diversity of customers in the real market may lead to the lack of stability, which means risking the failure of pricing. Additionally, the study involves arbitrage-free, an essential economics concept, which is not reasonable on data items. To address these problems, this paper provides insights for designing an improved subscription scheme that includes two components: the calculation and the specific validity. On the one hand, the calculation improves the existing scheme by building a new structure that combines different customers' behaviours instead of the separated calculation in the existing scheme, and can steadily set prices for subscriptions to maximise the sellers' profit even in a real market. On the other hand, the specific validity shows the improvement towards arbitrage-free by taking the characteristics of data subscriptions into account. In other words, the specific validity endows the scheme with more rationality. [ABSTRACT FROM AUTHOR]

Although many contemporary demographers pay attention to historical demography, there is often a surprising lack of appreciation of the demographic circumstances and systems of the past, suggesting an implicit assumption that they are not relevant to the present or that the methods, data, and questions addressed by historical and contemporary demographers are different. This paper provides an overview of historical demography as published in Population Studies and how this has developed over time. Drawing on this, I demonstrate that historical and contemporary demography use similar data sources and identical methods, and they often address comparable questions. I argue that an appreciation of demographic patterns and processes is beneficial for all demographers, even those who work on the most recent time periods, and that better integration of historical and contemporary demography would be beneficial to both. The paper also considers three challenges for historical demography as it moves forward. [ABSTRACT FROM AUTHOR]

This paper examines the position of migration in population studies, focusing on the period 1996-2021. It considers the reasons why migration remains problematic for demographers, but also how approaches to migration have changed over the last 25 years. While it has arguably become more important to both demography and population studies because of the transition to low fertility and mortality, migration has metamorphosed into a complex field in its own right, almost independently from changes in demography. Both internal and international migration form the subject of this examination and four main themes are pursued: data and measurement; theories and approaches; migration and development; and migration and political demography. The papers published in the journal Population Studies are used to provide a mirror through which to view these changes over the last 25 years. This paper concludes by looking at likely future directions in migration studies, demography, and population studies. [ABSTRACT FROM AUTHOR]

This paper traces the infrastructural politics of automated music mastering to reveal how contemporary iterations of artificial intelligence (AI) shape cultural production. The paper examines the emergence of LANDR, an online platform that offers automated music mastering, built on top of supervised machine learning branded as artificial intelligence. Increasingly, machine learning will become an integral part of signal processing for sounds and images, shaping the way media cultures sound, look, and feel. While LANDR is a product of the so-called 'big bang' in machine learning, it could not exist without specific conditions: specific kinds of commensurable data, as well as specific aesthetic and industrial conditions. Mastering, in turn, has become an indispensable but understudied part of music circulation as an infrastructural practice. Here we analyze the intersecting histories of machine learning and mastering, as well as LANDR's failure at automating other domains of audio engineering. By doing so, we critique the discourse of AI's inevitability and show the ways in which machine learning must frame or reframe cultural and aesthetic practices in order to automate them, in service of digital distribution, recognition, and recommendation infrastructures. [ABSTRACT FROM AUTHOR]

Safeguarding national security requires ensuring cyber security of a nation. While India has a wider law framework to ensure national security as against wrongs committed in real world, it is yet to match this framework to suit to the regulatory framework essential to address concerns raised due to the abuse of cyber technology. Though Indian laws including substantive legal provisions empowers the State to regulate acts affecting national as well as cyber security, its procedural rules suffers from being outdated and thereby irrelevant in addressing the concerns specific to cyber space. Ensuring national security requires access to data, both personal as well as non-personal data. While recent legal developments have been focusing on extending wider protection to privacy including data privacy, the State agencies strive to access data, which at times are crucial to the enforcement of laws in general and to ensure national security in specific. Jurisdictional issues further complicates the matter. As a result, the law enforcement agencies expect proactive coordination from internet intermediary in facilitating access to data, e-surveillance, decryption, internet traffic data monitoring, etc. Intermediaries on the other hand are also legally mandated to ensure data privacy, freedom of speech and other rights of internet users. This often has led to the conflicting concerns requiring new legal response. This paper will overview the existing laws as well as assess the changes Indian law is currently undergoing in these regard. [ABSTRACT FROM AUTHOR]

The use of information technology during the COVID-19 pandemic raises significant questions around the protection of personal data in a disaster. This paper considers how the clear benefits of using and sharing such data in disaster scenarios can be achieved while recognising an individual's right to privacy through examining the experiences of Taiwan and New Zealand. These states represent two successful COVID-19 response strategies which utilised different approaches to the use of technology. In Taiwan, the response made significant use of personal data and information technology. New Zealand, by contrast, has relied upon stringent lockdowns and extreme limits upon personal freedoms. The paper considers the different approaches to data and privacy that underpinned these responses and considers whether New Zealand can learn from the Taiwanese experience in future disaster planning. In doing so, the paper concludes by examining the wider question of when and if the community's expectation of a safe environment should trump the rights of individuals to retain personal data both in the context of pandemics and in other emergency or disaster scenarios. It also raises deeper questions, exposed by the COVID-19 response, about whether our current approach to privacy is sustainable in the digital age. [ABSTRACT FROM AUTHOR]

Organic remains from excavated sites include a wide range of materials, from distinct organisms ('ecofacts') to biomolecules. Biomolecules provide a variety of new research avenues, while ecofacts with longer histories of study are now being re-harnessed in unexpected ways. These resources are unlocking research potential, transcending what was previously imagined possible. However, this 'organics revolution' comes with a salutary corollary: our approaches to recovering and curating organics, and making accessible research data, are not developing as quickly as we need. In this paper, we review retention guidelines for institutions in Britain and Ireland, setting this against the backdrop of a 'curation crisis' that is affecting museums throughout Europe, and beyond. We suggest key themes, including the state of existing documentation and considerations of intrinsic and allied research potential, that should be used to open a discussion about the development of more comprehensive and standardised approaches to archiving in the future. Engaging in this conversation is the only way that we can hope to ensure the long-term retention and preservation of organics, while safeguarding associated research data. These changes are needed to ensure future global research collaborations across the academic, curatorial and professional archaeological sectors. [ABSTRACT FROM AUTHOR]

The expansion of university systems across the planet over the last fifty years has led to the emergence of a new policy assemblage – 'global higher education' that depends on the collection, curation and representation of quantitative data. In this paper I explore the use of data by higher education policy actors to sustain 'epistemic coloniality'. Building on a rich genealogy of anticolonial, postcolonial and feminist scholarship, I show how decolonial theory can be used to critique dominant global higher education imaginaries and the data infrastructures they depend on. Tracing the history of these infrastructures, I begin with OECD's creation of decontextualised educational 'indicators'. I go on to track the policy impact of global university league tables owned by commercial organisations. They assemble and commensurate institutional data into rankings that become taken-for-granted 'global' policy knowledge. I end by exploring the policy challenge of building alternative socio-technical infrastructures, and finding new ways to value higher education. [ABSTRACT FROM AUTHOR]

Fintechs are crucial to ensuring Europe's transition to a digital economy. In its Digital Finance Strategy, the Commission endorses the need to ensure a level playing field in the provision of digital financial services. However, the dominant position that banks hold in the European economy has enabled them to engage in abusive practices, such as the refusal to grant access to data to fintechs. Such a practice could also occur among bigtechs, which are soon to become dominant players in the payment services sphere. The first part of this article pertains to the Payment Services Directive II and to what extent it has contributed towards levelling the playing field between banks and fintechs. The second part of this paper analyses the extent to which provisions of the proposed Digital Markets Act (DMA) could help contribute towards levelling the playing field between bigtechs and fintechs. [ABSTRACT FROM AUTHOR]

In education and psychology, single-case designs (SCDs) have been used to detect treatment effects using time series data in the presence or absence of intervention. One popular design variant of SCDs is a multiple-baseline design for multiple outcomes, which often collects outcomes with some form of a count. A Poisson model is a natural choice for the count outcome. However, the assumption of the Poisson model that the outcome variable's mean is equal to its variance is often violated in SCDs, as the variance is often larger than the mean (called overdispersion). In addition, when multiple outcomes are from the same participant, it is likely that they are correlated. In this paper, we present a vector Poisson log-normal additive (V-PLN-A) model to deal with (a) change processes (auto- and cross-correlations and data-driven trend) and (b) correlation and overdispersion in multivariate count time series. A multivariate normal distribution was adapted to account for correlation among multiple outcomes as well as possible overdispersion. The V-PLN-A model was applied to an educational intervention study to test treatment effects. Simulation study results showed that parameter recovery of the V-PLN-A model was satisfactory in a large number of timepoints using Bayesian analysis, and that ignoring change processes and overdispersion led to biased estimates of the treatment effects. [ABSTRACT FROM AUTHOR]

With the increasing demands for data, the subscription scheme came into being in the face of pricing for an extensive and unfixed number of data items. However, in the existing subscription scheme, a diversity of customers in the real market may lead to the lack of stability, which means risking the failure of pricing. Additionally, the study involves arbitrage-free, an essential economics concept, which is not reasonable on data items. To address these problems, this paper provides insights for designing an improved subscription scheme that includes two components: the calculation and the specific validity. On the one hand, the calculation improves the existing scheme by building a new structure that combines different customers' behaviours instead of the separated calculation in the existing scheme, and can steadily set prices for subscriptions to maximise the sellers' profit even in a real market. On the other hand, the specific validity shows the improvement towards arbitrage-free by taking the characteristics of data subscriptions into account. In other words, the specific validity endows the scheme with more rationality. [ABSTRACT FROM AUTHOR]

Trust in data practices and data-driven systems is widely seen as both important and elusive. A data trust deficit has been identified, to which proposed solutions are often localised or individualised, focusing either on what institutions can do to increase user trust in their data practices or on data management models that empower the individual user. Scholarship on trust often focuses on typologies of trust. This paper shifts the emphasis to those doing the trusting, by presenting findings from empirical research which explored user perspectives on the data practices of the BBC. These findings challenge the assumption that localised or individualised solutions can be effective. They also suggest that conceptualisations of trust in data practices need to account for the complex range of factors which come into play in relation to trust in data and so move beyond the production of typologies. In this paper, we propose the concept of 'complex ecologies of trust' as a way of addressing all of these issues. [ABSTRACT FROM AUTHOR]

Primarily methodological in its orientation, this paper offers a presentation of 'research outcomes' in ways that challenge and disrupt commonplace notions of data and analysis. In an attempt to write against the grain of conventional qualitative research practice and to experiment with alternative encounters with data and analysis, I present 'data/analysis' in the form of a play (or imagined performance) that writes into being two Deleuzo-Guattarian principles – the critique of the self-conscious 'I' and desire. The play draws on a wider study that examined the potential of writing as a tool for learning for undergraduate student teachers in England. As such, the paper also contributes to debates on the practice and purpose of writing as a method of (professional) inquiry. [ABSTRACT FROM AUTHOR]

This paper brings to light the notable contributions of Wikipedian Adrianne Wadewitz (1977–2014) who enlisted her peers and students to help reduce the gender imbalance by participating in mass collaborative initiatives like edit-a-thons to increase the stock of knowledge about and of interest to women. Such projects, and the edit-a-thons that continue to be convened in Wadewitz's honour, help to reconcile the imbalance and simultaneously present pedagogical opportunities. Drawing upon scholarly literature, this paper also illustrates how Wikipedia editing supports and reinforces the principles of both academic and public writing and represents an open and sustainable platform for formative and summative assessment. Moreover, the paper emphasises the superiority of digital informative texts created by mass-collaboration and participation over those compiled by individuals or through small group collaboration, both of which delimit the homogeneity of networked knowledge. [ABSTRACT FROM AUTHOR]

This paper provides a practical analysis of being reflexive when doing Interpretive Phenomenological Analysis (IPA) research. We argue that although reflexivity is widely discussed in relation to qualitative research, there are few practical examples demonstrating how to be reflexive. To address this, reflexivity will be presented through the experiences learnt from doctoral research using IPA. Reflexivity is understood in qualitative research as an attentiveness to the influence of the researcher on the research process.. However, experiencing reflexivity as an IPA researcher is tricky, time-consuming and often uncomfortable; it does not 'happen' and the researcher had to learn to 'live' with data. Drawing on the work of Heidegger, the experience and expression of reflexivity is conceptualised as the 'house of being', a shared analytic space that researchers and participants inhabit. This paper adds to the existing discussion of reflexivity by extending the dialogue of 'what is it like' to be reflexive and how to integrate reflexivity into research. The insights in this paper are intended to generate insight as to how reflexivity can be overt in the doing and writing of IPA research and to assist IPA and qualitaive researchers in their awareness and implementation of reflexivity in research. [ABSTRACT FROM AUTHOR]

At a United Nations space conference in 1982, NASA officials unveiled Global Habitability, an Earth science initiative to study the physical, chemical, and biological processes of the world's lands, oceans, and atmosphere as a single, integrated system using a fleet of Earth observing satellites. A peaceful and timely initiative that focused on global environmental problems and invited international participation, US officials fully anticipated that it would be favourably received. However, the international response to Global Habitability was not merely unfavourable but openly hostile, leading to the initiative's failure and its almost total obscurity today. This paper explores the history of this unsuccessful initiative to launch a global Earth science research program. Global Habitability was the product of a small group of US scientists who failed to grasp the inherently political nature of data and the importance of the geopolitical context of the 1970s and early 1980s for a scientific and technological research program. [ABSTRACT FROM AUTHOR]

This paper explores third-wave post-neoliberalism as an assemblage, fractured and dis/embodied, a mobile tool of governance articulated in various shapes across geopolitical sites. Post-neoliberalism is assembled alongside other key cultural shifts, such as post-truth, posthuman and the computational turn. In light of this Special Issue, this paper will argue that education reform is not only shaped by neoliberal drivers, such as marketisation, competition and decentralisation, but a central tenet of post-neoliberal reform is the presence of the intangible; 'big data' and data-fication, shaped by prominent globalised datasets such as OECD PISA, artificial intelligence, predictive software and complex algorithms. Measurement is far from new in the capitalist economy, but this economy seeks to measure the intangibles, that which does not necessarily exist in three-dimensional spaces. This is, as I will argue in this paper, the mark of capitalism without capital and the rise of the intangible economy in schooling. [ABSTRACT FROM AUTHOR]

Recently, a literature has emerged using empirical techniques to study the evolution of international cities over many centuries; however, few studies examine long-run change within cities. Conventional models and concepts are not always appropriate and data issues make long-run neighbourhood analysis particularly problematic. This paper addresses some of these points. First, it discusses why the analysis of long-run urban change is important for modern urban policy and considers the most important concepts. Second, it constructs a novel data set at the micro level, which allows consistent comparisons of London neighbourhoods in 1881 and 2001. Third, the paper models some of the key factors that affected long-run change, including the role of housing. There is evidence that the relative social positions of local urban areas persist over time but, nevertheless, at fine spatial scales, local areas still exhibit change, arising from aggregate population dynamics, from advances in technology, and also from the effects of shocks, such as wars. In general, where small areas are considered, long-run changes are likely to be greater, because individuals are more mobile over short than long distances. Finally, the paper considers the implications for policy. [ABSTRACT FROM AUTHOR]

New data-driven technologies appear to promise a new era of accuracy and objectivity in scientifically-informed educational policy and governance. The data-scientific objectivity sought by education policy, however, is the result of practices of standardization and quantification deployed to settle controversies about the definition and measurement of human qualities by rendering them as categories and numbers. Focusing on the emerging policy agenda of 'social and emotional learning and skills,' this paper examines the practices of 'objectivity-making' underpinning this new field. Objectivity-making depends on three translations of (1) scientific expertise into standardized and enumerable definitions, (2) standardization into measurement technologies, and (3) the data produced through measurement technologies into objective policy-relevant knowledge, which consolidates a market in SEL technologies. The paper sheds light on knowledge-making practices in the era of big data and policy science, and their enduring reliance on the precarious construction of objectivity as a key legitimator of policy-relevant scientific knowledge and 'evidence-based' education governance. [ABSTRACT FROM AUTHOR]

Despite a growing body of research on the victim–offender overlap, limited scholarship has examined this phenomenon in the context of the prison. This paper advances theory and scholarship on the victim–offender overlap and prison social order by examining linkages between prison misconduct and victimization. Examination of the overlap in the prison context extends the generality of the model and provides greater insight into the implications of the prison experience on behavior. This paper uses nationally representative data from the Survey of Inmates in State and Federal Correctional Facilities and bi-probit analyses to estimate whether the overlap exists within the prison setting and whether victimization and misconduct can be explained using the same theoretical framework. Findings suggest that common and unique risk factors exist for victimization and misconduct. Results have implications for theory, research, and policy related to understanding the relationship between victims and offenders and deviance in the prison setting. [ABSTRACT FROM AUTHOR]

This paper explores the relationships of subjects in the context of data and data technologies, and advances an original theoretical framework called Informatic Personhood to better conceptual subjects and their relationships. Because of the enormous structural change that data has contributed to, subjects are sometimes distant and backgrounded in studies of data, despite data having significant impacts on their lives. Data-mediated relationships mean an increased scale to a relationship, with individuals able to connect to much broader contexts of data, but also have these structures reach down to their subjective context through data. Informatic Personhood seeks to capture the dynamics of data present in everyday life, addressing this distance and better conceptualising the scale of data-mediated relationships. This framework has two parts. The first – The Informatic Context – explores salient structural developments around data and conceptualises this as being defined by the presence of 'data interfaces' (that connect individuals to digital contexts), 'data circulation' (trends in the movement and storage of data), and 'data abstraction' (data manipulation practices). The second part concerns the Informatic Person, and the embodied, affective, and sensemaking relationships of individuals occurring across and through the Informatic Context. This framework better addresses the scale of data-mediated relationships, and places subjects firmly in the foreground of how data is understood. [ABSTRACT FROM AUTHOR]

Spatial correlation structure is the most essential tool in a spatial data analysis. However, the difficulty of modelling spatial correlations between two responses collected from two neighbouring locations is a challenge, when it is known that each of the responses may also be influenced by certain visible and/or invisible effects of other neighbouring locations. Further difficulties arise when one deals with spatial binary data as opposed to linear spatial data. In this paper, we resolve this correlation model issue for spatial binary data by using a mixed logits model approach where pair-wise correlations are computed by accommodating both within and between correlations for paired-responses. For inferences, we use the true correlation based generalized quasi-likelihood (GQL) approach. The asymptotic normality of the estimators of the main regression and random effects variance parameters are studied. The model and estimation methodology used are illustrated by a finite sample-based simulation study. [ABSTRACT FROM AUTHOR]

In this paper, we discuss how missing data affect to identify longitudinal biomarkers or surrogates for a time to event outcome with/without considering the assumption of heterogenous baseline hazards among individuals. The comparison will be applied to the missing data under two missing mechanism – missing at random (MAR) and non-ignorable missing (NMAR). We use simulations to explore how missing mechanism affect the power to detect the association of a longitudinal biomarker and the survival time given the number of individuals, the number of time points per individual and the functional form of the random effects from the longitudinal biomarkers considering heterogeneous baseline hazards in individuals. The longitudinal biomarker will be assumed under two missing mechanism – missing at random (MAR) and non-ignorable missing (NMAR). The result shows that the method considering heterogeneous baseline hazards among individuals can has a performance well in the missing data under missing at random (MAR). The method considering heterogeneous baseline hazards among individuals has the better performance than the method without considering heterogeneous baseline hazards among individuals. The method with/without considering heterogeneous baseline hazards among individuals do not work well under non-ignorable missing mechanism. [ABSTRACT FROM AUTHOR]

The conditional autoregressive approach is popular to analyse data with geocoded boundary. However, spatial prediction is often challenging when observed data are sparse. It becomes more challenging in predicting areal units with different areal boundaries. Hence, this paper develops a spatial generalised linear model for spatial predictions using data from spatially misaligned sparse locations. A spatial basis function associated with the conditional autoregressive models and the kriging method is considered. The proposed model demonstrates its better predictive performance through a simulation study and then is applied to understand the spatial pattern of undecided voting preferences in Australia. [ABSTRACT FROM AUTHOR]