Big Data Is Not a Monolith

Big Data Is Not a Monolith

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2016 · Inglés · Tapa dura
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Descripción

The exploration of big data transcends the simplistic notions often associated with its impact. In a landscape where information reigns supreme, a diverse group of scholars and practitioners sheds light on the multifaceted challenges that arise across various domains, including health, science, law, commerce, and politics. By framing big data as a complex entity rather than a singular phenomenon, the contributors invite readers to rethink their assumptions and broaden their understanding.

Each chapter delves into specific issues, highlighting the ethical dilemmas, legal ramifications, and societal impacts tied to the proliferation of data. Authors engage with the nuances of data privacy, security, and the implications for informed consent in health-related research. The conversation extends to the intricacies of data governance in commercial sectors and the potential for biases in algorithm-driven decision-making.

The collective insights offer a holistic view that encourages critical discourse on how big data shapes contemporary life, suggesting that uncritical acceptance of data-driven narratives can lead to detrimental consequences. Through interdisciplinary approaches, the text emphasizes the importance of collaboration among experts to navigate the evolving landscape of big data responsibly.

Ultimately, this work serves as a call to action for policymakers, researchers, and the general public to engage thoughtfully with the complexities of big data. It emphasizes the importance of vigilance in addressing the challenges ahead, ensuring that the benefits of big data can be harnessed without sacrificing ethical integrity or social equity.

Detalles del libro

Formato Tapa dura
Páginas 284 páginas
Idioma Inglés
Publicado oct. 21, 2016
Editorial The MIT Press
ISBN-10 0262035057
ISBN-13 9780262035057

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