Paper by Riccardo Gallotti, Davide Maniscalco, Marc Barthelemy & Manlio De Domenico: “The description of human mobility is at the core of many fundamental applications ranging from urbanism and transportation to epidemics containment. Data about human movements, once scarce, is now widely available thanks to new sources such as phone call detail records, GPS devices, or Smartphone apps. Nevertheless, it is still common to rely on a single dataset by implicitly assuming that the statistical properties observed are robust regardless of data gathering and processing techniques. Here, we test this assumption on a broad scale by comparing human mobility datasets obtained from 7 different data-sources, tracing 500+ millions individuals in 145 countries. We report wide quantifiable differences in the resulting mobility networks and in the displacement distribution. These variations impact processes taking place on these networks like epidemic spreading. Our results point to the need for disclosing the data processing and, overall, to follow good practices to ensure robust and reproducible results…(More)”
SciAgents: Automating Scientific Discovery Through Bioinspired Multi-Agent Intelligent Graph Reasoning
Paper by Alireza Ghafarollahi, and Markus J. Buehler: “A key challenge in artificial intelligence (AI) is the creation of systems capable of autonomously advancing scientific understanding by exploring novel domains, identifying complex patterns, and uncovering previously unseen connections in vast scientific data. In this work, SciAgents, an approach that leverages three core concepts is presented: (1) large-scale ontological knowledge graphs to organize and interconnect diverse scientific concepts, (2) a suite of large language models (LLMs) and data retrieval tools, and (3) multi-agent systems with in-situ learning capabilities. Applied to biologically inspired materials, SciAgents reveals hidden interdisciplinary relationships that were previously considered unrelated, achieving a scale, precision, and exploratory power that surpasses human research methods. The framework autonomously generates and refines research hypotheses, elucidating underlying mechanisms, design principles, and unexpected material properties. By integrating these capabilities in a modular fashion, the system yields material discoveries, critiques and improves existing hypotheses, retrieves up-to-date data about existing research, and highlights strengths and limitations. This is achieved by harnessing a “swarm of intelligence” similar to biological systems, providing new avenues for discovery. How this model accelerates the development of advanced materials by unlocking Nature’s design principles, resulting in a new biocomposite with enhanced mechanical properties and improved sustainability through energy-efficient production is shown…(More)”.
Protecting civilians in a data-driven and digitalized battlespace: Towards a minimum basic technology infrastructure
Paper by Ann Fitz-Gerald and Jenn Hennebry: “This article examines the realities of modern day warfare, including a rising trend in hybrid threats and irregular warfare which employ emerging technologies supported by digital and data-driven processes. The way in which these technologies become applied generates a widened battlefield and leads to a greater number of civilians being caught up in conflict. Humanitarian groups mandated to protect civilians have adapted their approaches to the use of new emerging technologies. However, the lack of international consensus on the use of data, the public and private nature of the actors involved in conflict, the transnational aspects of the widened battlefield, and the heightened security risks in the conflict space pose enormous challenges for the protection of civilians agenda. Based on the dual-usage aspect of emerging technologies, the challenges associated with regulation and the need for those affected by conflict to demonstrate resilience towards, and knowledge of, digital media literacy, this paper proposes the development of guidance for a “minimum basic technology infrastructure” which is supported by technology, regulation, and public awareness and education…(More)”.
Direct democracy in the digital age: opportunities, challenges, and new approaches
Article by Pattharapong Rattanasevee, Yared Akarapattananukul & Yodsapon Chirawut: “This article delves into the evolving landscape of direct democracy, particularly in the context of the digital era, where ICT and digital platforms play a pivotal role in shaping democratic engagement. Through a comprehensive analysis of empirical data and theoretical frameworks, it evaluates the advantages and inherent challenges of direct democracy, such as majority tyranny, short-term focus, polarization, and the spread of misinformation. It proposes the concept of Liquid democracy as a promising hybrid model that combines direct and representative elements, allowing for voting rights delegation to trusted entities, thereby potentially mitigating some of the traditional drawbacks of direct democracy. Furthermore, the article underscores the necessity for legal regulations and constitutional safeguards to protect fundamental rights and ensure long-term sustainability within a direct democracy framework. This research contributes to the ongoing discourse on democratic innovation and highlights the need for a balanced approach to integrating digital tools with democratic processes…(More)”.
The politics of data justice: exit, voice, or rehumanisation?
Paper by Azadeh Akbari: “Although many data justice projects envision just datafied societies, their focus on participatory ‘solutions’ to remedy injustice leaves important discussions out. For example, there has been little discussion of the meaning of data justice and its participatory underpinnings in authoritarian contexts. Additionally, the subjects of data justice are treated as universal decision-making individuals unaffected by the procedures of datafication itself. To tackle such questions, this paper starts with studying the trajectory of data justice as a concept and reflects on both its data and justice elements. It conceptualises data as embedded within a network of associations opening up a multi-level, multi-actor, intersectional understanding of data justice. Furthermore, it discusses five major conceptualisations of data justice based on social justice, capabilities, structural, sphere transgression, and abnormality of justice approaches. Discussing the limits and potentials of each of these categories, the paper argues that many of the existing participatory approaches are formulated within the neoliberal binary of choice: exit or voice (Hirschman, Citation1970). Transcending this binary and using postcolonial theories, the paper discusses the dehumanisation of individuals and groups as an integral part of datafication and underlines the inadequacy of digital harms, data protection, and privacy discourses in that regard. Finally, the paper reflects on the politics of data justice as an emancipatory concept capable of transforming standardised concepts such as digital literacy to liberating pedagogies for reclaiming the lost humanity of the oppressed (Freire, Citation1970) or evoking the possibility for multiple trajectories beyond the emerging hegemony of data capitalism…(More)”.
Citizen science as an instrument for women’s health research
Paper by Sarah Ahannach et al: “Women’s health research is receiving increasing attention globally, but considerable knowledge gaps remain. Across many fields of research, active involvement of citizens in science has emerged as a promising strategy to help align scientific research with societal needs. Citizen science offers researchers the opportunity for large-scale sampling and data acquisition while engaging the public in a co-creative approach that solicits their input on study aims, research design, data gathering and analysis. Here, we argue that citizen science has the potential to generate new data and insights that advance women’s health. Based on our experience with the international Isala project, which used a citizen-science approach to study the female microbiome and its influence on health, we address key challenges and lessons for generating a holistic, community-centered approach to women’s health research. We advocate for interdisciplinary collaborations to fully leverage citizen science in women’s health toward a more inclusive research landscape that amplifies underrepresented voices, challenges taboos around intimate health topics and prioritizes women’s involvement in shaping health research agendas…(More)”.
Changing Behaviour by Adding an Option
Paper by Lukas Fuchs: “Adding an option is a neglected mechanism for bringing about behavioural change. This mechanism is distinct from nudges, which are changes in the choice architecture, and instead makes it possible to pursue republican paternalism, a unique form of paternalism in which choices are changed by expanding people’s set of options. I argue that this is truly a form of paternalism (albeit a relatively soft one) and illustrate some of its manifestations in public policy, specifically public options and market creation. Furthermore, I compare it with libertarian paternalism on several dimensions, namely respect for individuals’ agency, effectiveness, and efficiency. Finally, I consider whether policymakers have the necessary knowledge to successfully change behaviour by adding options. Given that adding an option has key advantages over nudges in most if not all of these dimensions, it should be considered indispensable in the behavioural policymaker’s toolbox…(More)”.
My Voice, Your Voice, Our Voice: Attitudes Towards Collective Governance of a Choral AI Dataset
Paper by Jennifer Ding, Eva Jäger, Victoria Ivanova, and Mercedes Bunz: “Data grows in value when joined and combined; likewise the power of voice grows in ensemble. With 15 UK choirs, we explore opportunities for bottom-up data governance of a jointly created Choral AI Dataset. Guided by a survey of chorister attitudes towards generative AI models trained using their data, we explore opportunities to create empowering governance structures that go beyond opt in and opt out. We test the development of novel mechanisms such as a Trusted Data Intermediary (TDI) to enable governance of the dataset amongst the choirs and AI developers. We hope our findings can contribute to growing efforts to advance collective data governance practices and shape a more creative, empowering future for arts communities in the generative AI ecosystem…(More)”.
Synthetic Data, Synthetic Media, and Surveillance
Paper by Aaron Martin and Bryce Newell: “Public and scholarly interest in the related concepts of synthetic data and synthetic media has exploded in recent years. From issues raised by the generation of synthetic datasets to train machine learning models to the public-facing, consumer availability of artificial intelligence (AI) powered image manipulation and creation apps and the associated increase in synthetic (or “deepfake”) media, these technologies have shifted from being niche curiosities of the computer science community to become topics of significant public, corporate, and regulatory import. They are emblematic of a “data-generation revolution” (Gal and Lynskey 2024: 1091) that is already raising pressing questions for the academic surveillance studies community. Within surveillance studies scholarship, Fussey (2022: 348) has argued that synthetic media is one of several “issues of urgent societal and planetary concern” and that it has “arguably never been more important” for surveillance studies “researchers to understand these dynamics and complex processes, evidence their implications, and translate esoteric knowledge to produce meaningful analysis.” Yet, while fields adjacent to surveillance studies have begun to explore the ethical risks of synthetic data, we currently perceive a lack of attention to the surveillance implications of synthetic data and synthetic media in published literature within our field. In response, this Dialogue is designed to help promote thinking and discussion about the links and disconnections between synthetic data, synthetic media, and surveillance…(More)”
Privacy guarantees for personal mobility data in humanitarian response
Paper by Nitin Kohli, Emily Aiken & Joshua E. Blumenstock: “Personal mobility data from mobile phones and other sensors are increasingly used to inform policymaking during pandemics, natural disasters, and other humanitarian crises. However, even aggregated mobility traces can reveal private information about individual movements to potentially malicious actors. This paper develops and tests an approach for releasing private mobility data, which provides formal guarantees over the privacy of the underlying subjects. Specifically, we (1) introduce an algorithm for constructing differentially private mobility matrices and derive privacy and accuracy bounds on this algorithm; (2) use real-world data from mobile phone operators in Afghanistan and Rwanda to show how this algorithm can enable the use of private mobility data in two high-stakes policy decisions: pandemic response and the distribution of humanitarian aid; and (3) discuss practical decisions that need to be made when implementing this approach, such as how to optimally balance privacy and accuracy. Taken together, these results can help enable the responsible use of private mobility data in humanitarian response…(More)”.