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摘要翻译：
日常个人对重要研究的贡献已经大大超过了早期的古典观鸟和19世纪业余爱好者的努力。现在，对科学感兴趣的人可以直接参与涵盖不同科学领域的研究。关于天文学，志愿者，无论是作为个人还是作为人的网络，都参与了各种类型的研究。公民科学是直观的、吸引人的，但在采用科学的原则和方法方面必然是强大的。在这里，我们讨论公民科学，重点是充分参与的项目，如Zooniverse（由几个au-thors CL、as、LF、SB)，并提到其他项目。特别是，我们提出公民科学(CS)可以是天文台提供给科学家的科学数据分析管道的一个重要方面。
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英文标题：
《Citizen Science: Contributions to Astronomy Research》
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作者：
Carol Christian, Chris Lintott, Arfon Smith, Lucy Fortson, and Steven
Bamford
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最新提交年份：
2012
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分类信息：
一级分类：Physics 物理学
二级分类：Instrumentation and Methods for Astrophysics 天体物理学仪器和方法
分类描述：Detector and telescope design, experiment proposals. Laboratory Astrophysics. Methods for data analysis, statistical methods. Software, database design
探测器和望远镜设计，实验建议。实验室天体物理学。资料分析方法，统计方法。软件，数据库设计
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一级分类：Computer Science 计算机科学
二级分类：Artificial Intelligence 人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
The contributions of everyday individuals to significant research has grown dramatically beyond the early days of classical birdwatching and endeavors of amateurs of the 19th century. Now people who are casually interested in science can participate directly in research covering diverse scientific fields. Regarding astronomy, volunteers, either as individuals or as networks of people, are involved in a variety of types of studies. Citizen Science is intuitive, engaging, yet necessarily robust in its adoption of sci-entific principles and methods. Herein, we discuss Citizen Science, focusing on fully participatory projects such as Zooniverse (by several of the au-thors CL, AS, LF, SB), with mention of other programs. In particular, we make the case that citizen science (CS) can be an important aspect of the scientific data analysis pipelines provided to scientists by observatories.
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PDF链接：
https://arxiv.org/pdf/1202.2577
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