Big Data & Society: Guest Video: Anders Kristian Munk, Mathieu Jacomy, and Matilde Ficozzi about their paper "Beyond artificial intelligence controversies: What are algorithms doing in the scientific literature?"

Big Data & Society (BD&S) is an open access peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities and computing and their intersections with the arts and natural sciences about the implications of Big Data for societies.

The Journal's key purpose is to provide a space for connecting debates about the emerging field of Big Data practices and how they are reconfiguring academic, social, industry, business and government relations, expertise, methods, concepts and knowledge.

Impact Factor for 2020 = 5.987

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Wednesday 11 September 2024

Guest Video: Anders Kristian Munk, Mathieu Jacomy, and Matilde Ficozzi about their paper "Beyond artificial intelligence controversies: What are algorithms doing in the scientific literature?"