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<p>Science has always been driven by human consciousness in the context of an ambiguous environment. In modern times, the environment&#xa0;is characterised by sociotechnical complexities and uncertainty, rendering science fundamentally information-driven and statistically-informed, which focuses on uncertainty in contrast to the certainties of the enlightenment. In the context of this, and in the spirit of the point made initially by Popper that all people are scientific in their approach to everyday life, we must ask ‘whose uncertainties are not relevant to scientific inquiry?’ While inclusion has been a key feature of citizen science, there is a tendency for scientific control to remain with professional scientists, rather than in the hands of citizens. This paper is about new forms of coordination of citizen science activity which coordinate by tuning into citizen-level inquiry. Using the metaphor of a radio tuner, we suggest that tuning can take the form of identifying different levels of uncertainty, and selecting methods which allow for the deeper exploration of uncertainties and coordination of communities. We argue that the nineteenth century science of psychophysics alongside a topological view of scientific selection derived from Lewin’s social field theory, provides a theoretical foundation for the selection of appropriate methods in different circumstances. Ranking uncertainty with AI can steer flexible selection of methods and results, providing an inclusive science where analysis, synthesis, and experiment are left in the hands of communities and individuals.</p>

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Tuning the Citizen Science Radio: Inclusion, Methodological Pluralism and 8 Billion Brains

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年1月20日

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  • Mark William Johnson,
  • Eliza Varga

摘要

Science has always been driven by human consciousness in the context of an ambiguous environment. In modern times, the environment is characterised by sociotechnical complexities and uncertainty, rendering science fundamentally information-driven and statistically-informed, which focuses on uncertainty in contrast to the certainties of the enlightenment. In the context of this, and in the spirit of the point made initially by Popper that all people are scientific in their approach to everyday life, we must ask ‘whose uncertainties are not relevant to scientific inquiry?’ While inclusion has been a key feature of citizen science, there is a tendency for scientific control to remain with professional scientists, rather than in the hands of citizens. This paper is about new forms of coordination of citizen science activity which coordinate by tuning into citizen-level inquiry. Using the metaphor of a radio tuner, we suggest that tuning can take the form of identifying different levels of uncertainty, and selecting methods which allow for the deeper exploration of uncertainties and coordination of communities. We argue that the nineteenth century science of psychophysics alongside a topological view of scientific selection derived from Lewin’s social field theory, provides a theoretical foundation for the selection of appropriate methods in different circumstances. Ranking uncertainty with AI can steer flexible selection of methods and results, providing an inclusive science where analysis, synthesis, and experiment are left in the hands of communities and individuals.