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Critical datafication literacy – a framework for educating about datafication

Information and learning science, 2024-04, Vol.125 (3/4), p.270-292

Sander, Ina

2024

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Biometrics, presents, futures: the imaginative politics of science–society orderings

Science & public policy, 2024-04, Vol.51 (2), p.274-284

Lawless, Christopher

2024

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The rise of machine learning in the academic social sciences

AI & society, 2024-04, Vol.39 (2), p.799-801

2024

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AI research ethics is in its infancy: the EU’s AI Act can make it a grown-up

Research ethics review, 2024-04, Vol.20 (2), p.143-155

2024

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Defining acceptable data collection and reuse standards for queer artificial intelligence research in mental health: protocol for the online PARQAIR-MH Delphi study

BMJ open, 2024-03, Vol.14 (3), p.e079105-e079105

2024

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GPU acceleration of many‐body perturbation theory methods in MOLGW with OpenACC

International journal of quantum chemistry, 2024-03, Vol.124 (5), p.n/a

2024

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ICT-based co-production and democracy: Enacting space, people, and authority in polycentric sites of governance in Estonia

Government information quarterly, 2024-03, Vol.41 (1), p.101905, Article 101905

Muhhina, Kristina

2024

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Quantum sensors in sports biomechanics in revolutionizing injury prevention

Optical and quantum electronics, 2024-03, Vol.56 (3), Article 311

Zhang, Zhantao

2024

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Enhancing View Synthesis with Depth-Guided Neural Radiance Fields and Improved Depth Completion

Sensors (Basel, Switzerland), 2024-03, Vol.24 (6), p.1919

2024

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Providing ethics advice in a pandemic, in theory and in practice: A taxonomy of ethics advice

Bioethics, 2024-03, Vol.38 (3), p.213-222

2024

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Acceleration of Hyperspectral Skin Cancer Image Classification through Parallel Machine-Learning Methods

Sensors (Basel, Switzerland), 2024-02, Vol.24 (5), p.1399

2024

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Machina non deus: being in charge of AI

The Lancet (British edition), 2024-02, Vol.403 (10427), p.606-607

Vayena, Effy

2024

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The imitation game, the “child machine,” and the fathers of AI

AI & society, 2024-02, Vol.39 (1), p.353-357

Heffernan, Teresa

2024

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Artificial Intelligence: A Promising Tool for Application in Phytopathology

Horticulturae, 2024-02, Vol.10 (3), p.197

2024

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Leibniz and the Stocking Frame: Computation, Weaving and Knitting in the 17th Century

Minds and machines (Dordrecht), 2024-02, Vol.34 (Suppl 1), p.11-28

Friedman, Michael

2024

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There are holes in Europe's AI Act - and researchers can help to fill them

Nature (London), 2024-01, Vol.625 (7994), p.216-216

2024

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Public acceptance of smart home technologies in the UK: a citizens’ jury study

Journal of decision systems, 2024-01, p.1-27

2024

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Mobile Apps for COVID-19: A Systematic Review of Reviews

Healthcare (Basel), 2024-01, Vol.12 (2), p.139

2024

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Personal data store ecosystems in health and social care

Frontiers in public health, 2024, Vol.12, p.1348044-1348044

2024

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Lady Lovelace's Objection: The Turing-Hartree Disputes over the Meaning of Digital Computers, 1946-1951

IEEE annals of the history of computing, 2024-01, p.1-13

Goncalves, Bernardo

2024

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Pre-existing musculoskeletal pain and its association with mortality in newly diagnosed co-morbid conditions: an electronic health record cohort study

Rheumatology advances in practice, 2024, Vol.8 (1), p.rkad104-rkad104

2024

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Renewable-Aware Frequency Scaling Approach for Energy-Efficient Deep Learning Clusters

Applied sciences, 2024-01, Vol.14 (2), p.776

2024

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Place-based data justice practices for collaborative conservation research: A critical review

Biological conservation, 2023-12, Vol.288, p.110346, Article 110346

2023

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Essential elements, conceptual foundations and workflow design in crowd-powered projects

Journal of information science, 2023-12, Vol.49 (6), p.1546-1569

2023

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Machine learning models, trusted research environments and UK health data: ensuring a safe and beneficial future for AI development in healthcare

Journal of medical ethics, 2023-12, Vol.49 (12), p.838

2023

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Critical datafication literacy – a framework for educating about datafication

Biometrics, presents, futures: the imaginative politics of science–society orderings

The rise of machine learning in the academic social sciences

AI research ethics is in its infancy: the EU’s AI Act can make it a grown-up

Defining acceptable data collection and reuse standards for queer artificial intelligence research in mental health: protocol for the online PARQAIR-MH Delphi study

GPU acceleration of many‐body perturbation theory methods in MOLGW with OpenACC

ICT-based co-production and democracy: Enacting space, people, and authority in polycentric sites of governance in Estonia

Quantum sensors in sports biomechanics in revolutionizing injury prevention

Enhancing View Synthesis with Depth-Guided Neural Radiance Fields and Improved Depth Completion

Providing ethics advice in a pandemic, in theory and in practice: A taxonomy of ethics advice

Acceleration of Hyperspectral Skin Cancer Image Classification through Parallel Machine-Learning Methods

Machina non deus: being in charge of AI

The imitation game, the “child machine,” and the fathers of AI

Artificial Intelligence: A Promising Tool for Application in Phytopathology

Leibniz and the Stocking Frame: Computation, Weaving and Knitting in the 17th Century

There are holes in Europe's AI Act - and researchers can help to fill them

Public acceptance of smart home technologies in the UK: a citizens’ jury study

Mobile Apps for COVID-19: A Systematic Review of Reviews

Personal data store ecosystems in health and social care

Lady Lovelace's Objection: The Turing-Hartree Disputes over the Meaning of Digital Computers, 1946-1951

Pre-existing musculoskeletal pain and its association with mortality in newly diagnosed co-morbid conditions: an electronic health record cohort study

Renewable-Aware Frequency Scaling Approach for Energy-Efficient Deep Learning Clusters

Place-based data justice practices for collaborative conservation research: A critical review

Essential elements, conceptual foundations and workflow design in crowd-powered projects

Machine learning models, trusted research environments and UK health data: ensuring a safe and beneficial future for AI development in healthcare

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