Datafication—the increase in data generation and advancements in data analysis—offers new possibilities for governing and tackling worldwide challenges such as climate change. However, employing data in policymaking carries various risks, such as exacerbating inequalities, introducing biases, and creating gaps in access. This paper articulates 10 core tensions related to climate data and its implications for climate data governance, ranging from the diversity of data sources and stakeholders to issues of quality, access, and the balancing act between local needs and global imperatives. Through examining these tensions, the article advocates for a paradigm shift towards multi-stakeholder governance, data stewardship, and equitable data practices to harness the potential of climate data for the public good. It underscores the critical role of data stewards in navigating these challenges, fostering a responsible data ecology, and ultimately contributing to a more sustainable and just approach to climate action and broader social issues.

The National Public Health Law Conference: People. Policy. Progress., held October 2023, brought together more than 400 stakeholders in public health to explore how law and policy can be leveraged to advance health equity, improve data sharing for community health, protect access to reproductive health and facilitate system change.

This paper advances a theory for the autocratic logic of internet control. Politically motivated internet control generates a positive externality for domestic data-intensive firms and a negative externality for domestic knowledge-intensive research entities. Exploiting a major internet control shock in 2014, I find that Chinese data-intensive firms gained 26 percent in revenue over other Chinese firms as the result of internet control. The same shock incurred a 10 percent decline in research quality from Chinese researchers, conditional on the knowledge intensity of their discipline. It also reduced the research quality from Chinese researchers relative to their US counterparts by 22 percent in all disciplines. Due to the positive data externality, internet control enacted to prevent domestic threats challenges the state's competing need for data sovereignty against foreign threats. Meanwhile, the state shields certain foreign knowledge-intensive actors from the negative knowledge externality to avoid the immediate economic costs they might otherwise impose. Qualitative evidence supports both implications, highlighting the centrality of short-term interests and foreign actors in autocratic decision making.

The gradual digitization of EU migration policies is turning external borders into AI-driven filters that limit access to fundamental rights for people from third countries according to risk indicators. An unshakeable confidence in the reliability of technological devices and their ability to predict the future behaviour of incoming foreigners is leading towards the datafication of EU external frontiers. What happens if the supposedly infallible algorithms are wrong? The article aims to understand the consequences of algorithmic errors on the lives of migrants, refugees and asylum seekers arriving in the European Union. This contribution investigates the socio-political implications of deploying data-driven solutions at the borders in an attempt to problematize the techno-solutionist approach of EU migratory policies and its fundamental rights impact on affected individuals.

The Schengen Information System for law enforcement, border control, and judicial cooperation in the European Union has over the years seen a considerable expansion of the amount and types of data stored and its functionalities, as well as its user base. In light of this transformation from a simple information-sharing tool to a full-blown investigative database, there has, however, been surprisingly little public debate and pushback against the growing surveillance and control capacities that the system enables. This article proposes to understand the largely uncontested evolution of the SIS through the concept of ‘creep’, i.e. the incremental, unforeseen, and/or stealthy development of a technological system beyond what it was originally introduced for. More specifically, it retraces how creep has in the case of the SIS been enabled and facilitated through (1) latent development principles, i.e. the rationale of building dormant features into a system that can be activated at a later point in time once technology has sufficiently matured and/or legal foundations have been adopted; and (2) technology monitoring and steering mechanisms, i.e. the continuous assessment of the readiness of key technologies for anticipated updates to the system as well as interventions in publicly funded research programmes.

Current research on data in policy has primarily focused on street-level bureaucrats, neglecting the changes in the work of policy advisors. This research fills this gap by presenting an explorative theoretical understanding of the integration of data, local knowledge and professional expertise in the work of policy advisors. The theoretical perspective we develop builds upon Vickers’s (1995, The Art of Judgment: A Study of Policy Making, Centenary Edition, SAGE) judgments in policymaking. Empirically, we present a case study of a Dutch law enforcement network for preventing and reducing organized crime. Based on interviews, observations, and documents collected in a 13-month ethnographic fieldwork period, we study how policy advisors within this network make their judgments. In contrast with the idea of data as a rationalizing force, our study reveals that how data sources are selected and analyzed for judgments is very much shaped by the existing local and expert knowledge of policy advisors. The weight given to data is highly situational: we found that policy advisors welcome data in scoping the policy issue, but for judgments more closely connected to actual policy interventions, data are given limited value.

This paper explores self-tracking as a social practice with significant relationships to human memory. The history of data and memory is fraught with a concern that specifics of qualia are subjugated to datafication. Yet, historical perspectives linking paper diaries and digital tracking show that rich accounts can be preserved in media. Cognisant of both perspectives, this paper argues that rather than delegating reflection to algorithms, users engage critically. Using original research data, this paper demonstrates how users unite the sociotechnical affordances of devices, data visualisations, and personal narratives to communicate memory in mediated forms. In doing so, they bridge semantic and autobiographic memory, combining subjectivity and objectivity. A datafied narration of everyday life emerges, affirming unique and vital stories. Often directed toward future goals, the mnemonic value of self-tracking in the present is overlooked. Yet whether recalling unfortunate accidents, sporting success, work, holidays, or illness experiences, participants use data as a scaffold to build stories and affirm identity. This paper asserts that memory and storytelling is an essential anchor for practices of digital self-tracking.

Archaeologists are taught about the importance of professional recordation and our ethical obligations to those associated records and data. These teachings imply that practitioners are meeting a professional standard of recordation that will stand the test of time, but the ongoing digital revolution is changing the way records and data are created and preserved. Best practices for the management and use of digital archaeological records have been published, and devoted digital archives offer these services. However, the ability of traditional archaeological repositories to adopt best practices or pay for digital curation is poorly understood. This article presents the results of a survey asking how the flood of digital records and data has impacted the ability of archaeological repositories to collect, manage, preserve, use, and make accessible digital archaeological records and data. Are repositories adopting the best practices that have been outlined? What kinds of challenges do repositories face regarding digital records and data? Are they being overcome successfully? The survey results offer a snapshot of current practice and point to future directions that should be pursued to ensure that the discipline is meeting its professional obligations.