In this article, I suggest that an overreliance on analytics to assess faculty productivity and the diffusion of ideas may inadvertently suppress innovation. Even when these productivity-diffusion metrics are used to promote an individual's work, the use of such external guideposts may bias scientific choices and curb a psychological scientist's earnest inclination to synthesize or take scientific risks. Analytics are not inert but can change the path and progress of science itself, potentially reducing the diversity of ideas in psychological science. This potential harm may most affect new scholars at the beginning of their independent research careers.
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On the ethical governance of swarm robotic systems in the real world.
Philos Trans A Math Phys Eng Sci
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In this paper, we address the question: what practices would be required for the responsible design and operation of real-world swarm robotic systems? We argue that swarm robotic systems must be developed and operated within a framework of ethical governance. We will also explore the human factors surrounding the operation and management of swarm systems, advancing the view that human factors are no less important to swarm robots than social robots. Ethical governance must be anticipatory, and a powerful method for practical anticipatory governance is ethical risk assessment (ERA).
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Department of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, NC 27402, United States.
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PLoS One
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Faculty of Medicine, Department of Health Sciences, Lund University, Lund, Sweden.
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iScience
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Science is based on ideas that might be true or false in describing reality. In order to discern between these two, scientists conduct studies that can reveal evidence for an idea, i.e.
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Methods Enzymol
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Medical University of Vienna, Center of Anatomy and Cell Biology, Division of Cell and Developmental Biology, Schwarzspanier Strasse, Vienna, Austria. Electronic address:
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