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The future of the social sciences and humanities in the science of complex systems

机译:复杂系统科学中社会科学和人文科学的未来

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The modern world is characterized by problems that involve systems with social and physical subsystems. They are entangled systems of system of systems with multilevel dynamics. There is no methodology able to combine the partial micro-, meso- and macrotheories that focus on subsystems into a coherent representation of the dynamics of the whole. Policy requires prediction, but the traditional definitions of prediction are not appropriate for multilevel socio-complex systems. Heterogeneous multilevel systems have subsystems that may behave with great regularity over long periods of time, and then suddenly change their behavior due to weak coupling with other subsystems. Thus systems that are usually highly predictable may be subject to rare but extreme events, and this is highly relevant to policy-makers. New ways of thinking are needed that transcend the confines of the traditional humanities, social and physical sciences. Of necessity, this science will be embedded in the design, implementation and management of systems, and therefore the new science will be entwined with policy. Much policy is interventionist experiment. By themselves scientists cannot conduct experiments on socio-complex systems because they have neither the mandate nor the money to design and instrument experiments on the large scale. Policy-makers - elected politicians and their officers - design the future, making it as they believe it ought to be. New kinds of scientific predictions can inform policy but can only be instrumented and tested if there is goodwill between policy-makers and scientists, where scientists are junior partners. Scientists offer policy-makers theories and predictions of social systems based on logical-deductive methods. Policy is generally made on the basis of rhetoric, with the best possible arguments being deployed to support favored conclusions. To convince policy-makers that a particular scientific theory should be used, scientists move from the logical-deductive to the rhetorical. Thus the full theory of a science of complex systems has to provide a logical-deductive metatheory of the rhetorical and logical-deductive systems that make decisions and implement them. Traditional natural and physical science has avoided rhetoric, which is much better understood in the humanities and social sciences. Thus it is concluded that the science of complex systems must embrace the humanities and social sciences not just because their domains of study are relevant but also because their methods are necessary to understand how science and policy work together in complex social systems. View full textDownload full textKeywordscomplexity science, design, management, policy-makers, rhetoric, prediction, planningRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/13511610.2010.518422
机译:现代世界的特征是涉及具有社会和物理子系统的系统的问题。它们是具有多级动态系统的系统的纠缠系统。没有一种方法能够将关注子系统的部分微观,中观和宏观理论组合成整体动力学的连贯表示。政策需要预测,但传统的预测定义不适用于多层次的社会复杂系统。异构多级系统的子系统可能会在很长一段时间内表现出很大的规律性,然后由于与其他子系统之间的弱耦合而突然改变其行为。因此,通常高度可预测的系统可能会遇到罕见但极端的事件,这与决策者高度相关。需要超越传统人文,社会和物理科学范围的新思维方式。必不可少的是,这门科学将被嵌入到系统的设计,实现和管理中,因此新科学将与政策交织在一起。许多政策是干预主义实验。科学家们本身无法在复杂的社会系统上进行实验,因为他们既无权也无钱进行大规模的设计和仪器实验。决策者-当选的政治人物及其官员-设计未来,实现他们认为应该的未来。新型的科学预测可以为政策提供信息,但只有在政策制定者与科学家之间存在善意的情况下,才能对这些科学预测进行检测和检验,而科学家是初级伙伴。科学家根据逻辑演绎方法为社会系统提供决策者理论和预测。一般而言,政策是基于夸夸其谈的原则制定的,并采用了最佳的论据来支持赞成的结论。为了说服政策制定者使用特定的科学理论,科学家从逻辑演绎转向了修辞学。因此,复杂系统科学的全部理论必须提供制定和实施决策的修辞学和逻辑演绎系统的逻辑演绎元论。传统的自然科学和物理科学避免了修辞学,而这在人文科学和社会科学中得到了更好的理解。因此得出结论,复杂系统的科学必须包含人文科学和社会科学,这不仅是因为它们的研究领域是相关的,而且还因为它们的方法对于理解科学和政策在复杂的社会系统中如何共同发挥作用是必要的。查看全文下载全文关键字复杂性科学,设计,管理,政策制定者,修辞学,预测,规划stumbleupon,digg,google,more“,pubid:” ra-4dff56cd6bb1830b“};添加到候选列表链接永久链接http://dx.doi.org/10.1080/13511610.2010.518422

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