SoCS: Biotracker - Melding Human and Machine Intelligence to Create Large-scale Collaborative Systems

SoCS：Biotracker - 融合人类和机器智能以创建大规模协作系统

• 批准号: 0968546
• 负责人: Jennifer Preece
• 金额: $ 74.99万
• 依托单位: University of Maryland, College Park
• 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: 2010-10-01 至 2014-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0968546&HistoricalAwards=false
• 关键词: SoCS; Biotracker; Melding; Human; Machine

IntroductionThis project will make use of a novel system that will serve to accelerate the documentation of millions of currently unknown species. It will involve the use of mobile phones and the internet, which together make it feasible for thousands (if not millions) of people to collaborate on large-scale projects of tremendous social importance. In this project, data on biodiversity will be collected by citizen-scientists using mobile phones. There are approximately two million known species of organisms in the world and potentially millions more are still undocumented. Without help, professional biologists will be unable to faithfully record many of these species before they disappear from the planet. Intellectual MeritThe research goal of this project is to develop and test evolving theories for designing socially intelligent systems in which enthusiasts (usually referred to as "citizen-scientists") and scientist?s partner with technology to collect and process the data needed for large scale observation-driven science. This study will extend existing work by examining motivations of expert scientists and novice enthusiasts partnered with computing technologies in a scientific domain; developing and testing novel theory-inspired strategies for motivating participants; and beginning to develop a meta-theory that characterizes the interplay between potentially competing motivational strategies or "design levers" in the same socially intelligent system.Potential Broader ImpactsInventorying and compiling basic descriptions of a fraction of the world's species is a huge task that cannot be accomplished by trained scientists alone. This project will help enlist the public to accomplish this task. The Encyclopedia of Life project will employ the techniques that are developed in this project for use by other volunteers to obtain additional information about species around the globe.

该项目将利用一种新的系统，加速记录数百万种目前未知的物种。它将涉及移动电话和互联网的使用，这些共同使数千(如果不是数百万)的人在具有巨大社会重要性的大型项目上合作是可行的。在这个项目中，公民科学家将使用移动电话收集有关生物多样性的数据。世界上约有200万种已知的生物物种，可能还有数百万种生物仍未记录在案。如果没有帮助，专业生物学家将无法在这些物种从地球上消失之前忠实地记录它们。智力价值这个项目的研究目标是为设计社交智能系统开发和测试不断发展的理论，在这个系统中，爱好者(通常被称为“公民科学家”)和科学家S与技术合作，收集和处理大规模观测驱动的科学所需的数据。这项研究将扩展现有的工作，考察与科学领域的计算技术合作的专家科学家和新手爱好者的动机；开发和测试以理论为灵感的激励参与者的新策略；并开始开发元理论，该元理论描述同一社会智能系统中潜在竞争的动机策略或“设计杠杆”之间的相互作用。潜在的更广泛的影响对世界上一小部分物种的基本描述进行编撰和汇编是一项巨大的任务，单靠训练有素的科学家是无法完成的。这个项目将有助于动员公众完成这项任务。生命百科全书项目将使用该项目开发的技术，供其他志愿者使用，以获取有关全球物种的更多信息。