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Research Article

Innovation and leadership in computational social science’s prevalent trend: implications to management science, public policy and social development

Received 15 May 2023, Accepted 12 Dec 2023, Published online: 17 May 2024
 

Abstract

A group of prominent researchers recently introduced Computational Social Science (CSS) in a Nature article, highlighting its potential with a call for more institutional support. The companion composed by prevalent researchers sees no scientific limitations in CSS. However, this paper argues that despite CSS's popularity, it harbors scientific, methodological and philosophical shortcomings leading to a form of academic authoritarianism, highly consequential for Higher Education. It evaluates critically its impact on Management Science, Public Policy, and Social Development. While CSS appears promising, its current trajectory fails to deliver substantial innovation and leadership, misleading both leaders and policymakers. The paper advocates for alternative approaches within CSS, more useful for Higher Education and societal advancement.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Jose Penalva

J. Penalva has worked for some of the top universities, and holds a rounded experience as a lecturer, researcher and policy-making. His multidisciplinary background and global perspective is his main asset to international research projects. In scientific research, he has created a distinctive methodological approach in the Philosophy and Methodology of Social Science, that reinforces innovation and leadership in learning organizations. He has gained firsthand knowledge of best practices from leading universities worldwide, adding value to the aspect of innovation in curriculum design and organisational leadership. As a consultant, he has worked with a diverse range of industries across Europe, the Middle East, Asia, and the Americas.

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