Technology and science: innovation at the International Symposium on Sustainable Systems and Technology
Technology and science: innovation at the International Symposium on Sustainable Systems and Technology
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技术与科学：可持续系统与技术国际研讨会上的创新
DOI：
10.1007/s10669-017-9630-0
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发表时间：
2017
影响因子：
--
通讯作者：
Hinrichs, Margaret M.
中科院分区：
文献类型：
--
作者：
Seager, Thomas P.;Hinrichs, Margaret M.
虽然科学推动了技术的发展，但技术也确实推动了科学的发展。因此，这两个知识体系越来越被认为是相互依赖的。尽管如此，特别是信息通信技术（ICT）的最新进展可能会对科学研究的规范产生深远的影响。例如，数据的处理将越来越多地根据概率分布，而不是点估计，因为现在计算成本如此之低，以至于常规科学可以掌握更稳健的不确定性处理方法。也许更重要的是，科学家们合作、交流和管理科学的技术正在经历一个罕见的快速变化时期。本专题部分的论文通过以下两种重要方式例证了技术与科学之间关系的演变：(1) 处理数据不确定性；(2) 参与新颖的出版和评论方法。后者是由 2016 年国际可持续系统与技术研讨会 (ISSST) 会议推动的，会上介绍了本专题部分的所有论文。这篇社论总结了 ISSST 实验主题的一些 ICT 趋势，并介绍了这样的观点：信息时代的科学社会更有可能采取网络形式，而不是过去几个世纪的社会。
While science advances technology, it is also true that technology advances science. Thus, the two bodies of knowledge are increasingly recognized as interdependent. Nonetheless, recent advances in information communication technology (ICT), in particular, may have profound implications for the norms by which science is conducted. For example, treatment of data will increasingly be in terms of probability distributions, rather than as point estimates, because the cost of computation is now so low that more robust approaches to treatment of uncertainty are within the grasp of normal science. Perhaps more importantly, the techniques by which scientists collaborate, communicate, and curate science are undergoing a rare period of rapid change. The papers in this special section exemplify the evolution of the relationship between technology and science in these two important ways: (1) treatment of data uncertainties and (2) participation in novel methods of publication and review. The latter was fostered by the 2016 meeting of the International Symposium on Sustainable Systems and Technologies (ISSST), at which all of the papers in this special section were presented. This editorial summarizes some of the trends in ICT that are the subject of experimentation in ISSST and introduces the idea that scientific societies in the information age are more likely to take the form of a network than they are likely to look like the societies of the last several centuries.
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