167 items found

Organisations: SoBigData Literacy

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  • JournalArticle

    Challenging algorithmic profiling

    The limits of data protection and anti-discrimination in responding to emergent discrimination The potential for biases being built into algorithms has been known for some time...
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  • TrainingMaterial

    Compressed and Learned Data Structures Seminar

    In this seminar cycle, students are guided in the direct usage of a powerful C++ library implementing many state-of-the-art compressed data structures for big data. Other than...
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  • JournalArticle

    European Data Governance Act

    The proposal for a Regulation of the European Parliament and of the Council on data governance is the first of a set of measures announced in the 2020 European strategy for...
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  • JournalArticle

    Social Justice and Equality and Primary Care How Can Big Data Help

    A growing body of research emphasises the role of ‘social determinants of health’ in generating inequalities in health outcomes. How, if at all, should primary care providers...
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  • JournalArticle

    Big Data and Due Process Toward a Framework to Redress Predictive Privacy Harms

    The rise of “Big Data” analytics in the private sector poses new challenges for privacy advocates. Through its reliance on existing data and predictive analysis to create...
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  • JournalArticle

    Will big data algorithms dismantle the foundations of liberalism

    In Homo Deus, Yuval Noah Harari argues that technological advances of the twenty-first century will usher in a significant shift in how humans make important life decisions....
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  • JournalArticle

    The Trouble with Algorithmic Decisions

    An Analytic Road Map to Examine Efficiency and Fairness in Automated and Opaque Decision Making We are currently witnessing a sharp rise in the use of algorithmic...
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  • JournalArticle

    Identifying and exploiting homogeneous communities in labeled networks

    Attribute-aware community discovery aims to find well-connected communities that are also homogeneous w.r.t. the labels carried by the nodes. In this work, we address such a...
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  • JournalArticle

    Explaining misclassification and attacks in deep learning via random forests

    Artificial intelligence, and machine learning (ML) in particular, is being used for different purposes that are critical for human life. To avoid an algorithm-based...
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  • JournalArticle

    The fundamental rights challenges of algorithms

    Algorithms form an increasingly important part of our daily lives, even if we are often unaware of it. They are enormously useful in many different ways. They facilitate the...
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  • TrainingMaterial

    Epidemics and city. How mobility and well being changed with COVID19 era

    How did the COVID-19 epidemics change our mobility habits, and how did it impact on people’s well-being and on the virus transmissibility? In the first webinar of the seminar...
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  • JournalArticle

    Ethical Value Centric Cybersecurity. A Methodology Based on a Value Graph

    Our society is being shaped in a non-negligible way by the technological advances of recent years, especially in information and communications technologies (ICTs). The...
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  • JournalArticle

    The democracy of emergency at the time of the coronavirus the virtues of privacy

    The emergency of the Coronavirus imposes a cultural debate on the balancing of rights, freedoms and social responsibilities, finalized to the protection of individual and...
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  • JournalArticle

    Privacy in the clouds

    Informational self-determination refers to the right or ability of individuals to exercise personal control over the collection, use and disclosure of their personal data by...
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  • BookChapter

    Information Technology Privacy and the Protection of Personal Data

    Information technology allows us to generate, store, and process huge quantities of data. Search engines, satellites, sensor networks, scientists, security agencies,...
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  • ConferencePaper

    Efficient detection of Byzantine attacks in federated learning using last lay...

    Federated learning (FL) is an alternative to centralized machine learning (ML) that builds a model across multiple decentralized edge devices (a.k.a. workers) that own the...
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  • JournalArticle

    Conformity a Path-Aware Homophily measure for Node-Attributed Networks

    Unveil the homophilic/heterophilic behaviors that characterize the wiring patterns of complex networks is an important task in social network analysis, often approached...
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  • JournalArticle

    Big Data Ethics

    The speed of development in Big Data and associated phenomena, such as social media, has surpassed the capacity of the average consumer to understand his or her actions and...
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  • JournalArticle

    The role of geography in the complex diffusion of innovations

    The urban–rural divide is increasing in modern societies calling for geographical extensions of social influence modelling. Improved understanding of innovation diffusion...
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  • ConferencePaper

    Fair detection of poisoning attacks in federated learning

    Federated learning is a decentralized machine learning technique that aggregates partial models trained by a set of clients on their own private data to obtain a global model....
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