Crowd ID: Collaborative Tools Connecting People to Biodiversity through Social Networks and Machine Learning (Preproposal #0947206)

Crowd ID：通过社交网络和机器学习将人们与生物多样性联系起来的协作工具（提案前）

• 批准号: 1010818
• 负责人: Miyoko Chu
• 金额: $ 189.51万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-15 至 2014-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1010818&HistoricalAwards=false
• 关键词: Crowd; ID; Collaborative; Tools; Connecting

The Cornell Lab of Ornithology (CLO) is creating a new type of interactive, question-driven, online bird-identification tool called "Merlin," along with associated games, social networking tools, and other media. Unlike existing bird-identification guides, which are based on traditional taxonomic keys written by scientists, Merlin uses machine learning algorithms and crowd-sourced data (information provided by thousands of people) to identify birds and improve Merlin's performance with each interaction. The tool will help more than twelve million people a year identify birds and participate in a collective effort to help others. The Crowd ID project will make it easier for people to discover the names of birds, learn observation and identification skills, find more information, and appreciate Earth's biodiversity. The summative evaluation plan is measuring increases in participants' knowledge, engagement, and skills, as well as changes in behavior. Impacts on participants will be compared to a control group of users not using Merlin.Crowd ID tools will be integrated into the CLO's citizen science and education projects, which reach more than 200,000 participants, schoolchildren, and educators across the nation. Merlin will be broadly adapted for use on other websites, social networking platforms, exhibits, mobile devices, curricula, and electronic field guides. Once developed, Merlin can be modified to identify plants, rocks, and other animals. Merlin will promote growth of citizen science projects which depend on the ability of participants to identify a wide range of organisms.

康奈尔鸟类学实验室 (CLO) 正在创建一种新型交互式、问题驱动的在线鸟类识别工具，称为“Merlin”，以及相关游戏、社交网络工具和其他媒体。与基于科学家编写的传统分类键的现有鸟类识别指南不同，Merlin 使用机器学习算法和众包数据（由数千人提供的信息）来识别鸟类并提高 Merlin 在每次交互中的表现。该工具每年将帮助超过 1200 万人识别鸟类并参与帮助他人的集体努力。 Crowd ID 项目将使人们更容易发现鸟类的名称、学习观察和识别技能、查找更多信息并欣赏地球的生物多样性。总结性评估计划衡量参与者知识、参与度和技能的增长以及行为的变化。对参与者的影响将与不使用 Merlin 的对照组用户进行比较。Crowd ID 工具将被整合到 CLO 的公民科学和教育项目中，该项目覆盖全国超过 200,000 名参与者、学童和教育工作者。 Merlin 将广泛适用于其他网站、社交网络平台、展览、移动设备、课程和电子现场指南。一旦开发出来，Merlin 就可以被修改来识别植物、岩石和其他动物。 Merlin 将促进公民科学项目的发展，这些项目取决于参与者识别各种生物体的能力。