CDI-Type II: Zooniverse - Conquering the Data Flood with a Transformative Partnership between Citizen Scientists and Machines

CDI-Type II：Zooniverse - 通过公民科学家和机器之间的变革性伙伴关系征服数据洪流

• 批准号: 0941610
• 负责人: Geza Gyuk
• 金额: $ 189万
• 依托单位: Adler Planetarium
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-01-01 至 2013-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0941610&HistoricalAwards=false
• 关键词: CDI; Type; II; Zooniverse; Conquering

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). Scientists and researchers from fields as diverse as oceanography and ecology, astronomy and classical studies face a common challenge. As computer power and technology improve, the sizes of data sets available to us increase rapidly. The goal of this project is to develop a new methodology for using citizen science to unlock the knowledge discovery potential of modern, large data sets. For example, in a previous project Galaxy Zoo, citizen scientists have already made major contributions, lending their eyes, their pattern recognition skills and their brains to address research questions that need human input, and in so doing, have become part of the computing process. The current Galaxy Zoo project has recruited more than 200,000 participants who have provided more than 100 million classifications of galaxies from the Sloan Digital Sky Survey. This project builds upon early successes to develop a mode of citizen science participation which involves not only simple "clickwork" tasks, but also involves participants in more advanced modes of scientific thought. As part of the project, a symbiotic relationship with machine learning tools and algorithms will be developed, so that results from citizen scientists provide a rich training set for improving algorithms that in turn inform citizen science modes of participation. The first phase of the project will be to develop a portfolio of pilot projects from astrophysics, planetary science, zoology, and classical studies. The second phase of the project will be to develop a framework - called the Zooniverse - to facilitate citizen scientists. In particular, research and machine-learning communities will be engaged to identify suitable projects and data sets to integrate into Zooniverse.The ultimate goal with the Zooniverse is to create a sustainable future for large-scale, internet-based citizen science as part of every researcher?s toolkit, exemplifying a new paradigm in computational thinking, tapping the mental resources of a community of lay people in an innovative and complex manner that promises a profound impact on our ability to generate new knowledge. The project will engage thousands of citizens in authentic science tasks leading to a better public understanding of science and also, by the engagement of students, leading to interest in scientific careers.

该奖项是根据2009年《美国复苏与再投资法》（公法111-5）资助的。来自海洋学和生态，天文学和古典研究等领域的科学家和研究人员面临着一个共同的挑战。随着计算机电源和技术的改善，可用的数据集尺寸迅速增加。该项目的目的是开发一种新的方法，用于使用公民科学释放现代大型数据集的知识发现潜力。例如，在以前的Galaxy动物园项目中，公民科学家已经做出了重大贡献，展示了他们的眼睛，他们的模式识别能力和大脑，以解决需要人类投入的研究问题，并且在这样做的过程中，已经成为计算过程的一部分。当前的Galaxy动物园项目已招募了200,000多名参与者，他们从Sloan Digital Sky调查中提供了超过1亿个星系分类。该项目以早期成功为基础，以发展公民科学的参与方式，不仅涉及简单的“点击”任务，而且还涉及参与者以更高级的科学思想模式。作为该项目的一部分，将开发与机器学习工具和算法的共生关系，因此，公民科学家的结果提供了丰富的培训，以改善算法，从而为公民科学的参与方式提供了信息。该项目的第一阶段是开发来自天体物理学，行星科学，动物学和古典研究的试点项目组合。该项目的第二阶段是开发一个框架（称为Zooniverse）来促进公民科学家。特别是，研究和机器学习社区将参与确定合适的项目和数据集，以集成到世纪。研究人员的工具包，体现了计算思维的新范式，以一种创新且复杂的方式利用外行人社区的心理资源，有望对我们产生新知识的能力产生深远的影响。该项目将与成千上万的公民参与真实的科学任务，从而使对科学的公众了解更好，还通过学生的参与，引起对科学职业的兴趣。