Decision-Making in a Complex Social Environment: Developing Methodological Approaches Using Innovative Technologies

复杂社会环境中的决策：利用创新技术开发方法论

• 批准号: 2699721
• 金额: --
• 依托单位: UNIVERSITY OF EXETER
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2699721
• 关键词: Decision; Making; Complex; Social; Environment

In this project, I will use automated tracking technology and machine learning to test how individual investments and decision-making are influenced by the social environment. To achieve this, I will develop a method for automated detection of decision-making in a wild population of squirrels, and combine this with technological methods that allow me to construct social networks (quantifying social relationships) and spatial networks (documenting home ranges). Study system I will conduct my project on the long-term field site of the eastern grey squirrels at the University of Exeter campus (established in 2005 by my proposed primary supervisor, Dr Lisa Leaver). Eastern grey squirrels are scatter-cachers relying on cached food for considerable portions of the year[2]. Thus, caching decisions are of significant importance for individual survival. Squirrels are often described as asocial but both sexes nest communally and females show natal philopatry and have overlapping home ranges[12]. Individuals in the campus population are habituated to humans and routinely trapped and marked with PIT tags, such that individuals are monitored across multiple years. This trapping protocol will allow me to fit GPS collars and accelerometers with relative ease.

在这个项目中，我将使用自动跟踪技术和机器学习来测试个人的投资和决策是如何受到社会环境的影响的。为了实现这一目标，我将开发一种自动检测野生松鼠种群决策的方法，并将其与允许我构建社会网络（量化社会关系）和空间网络（记录家庭范围）的技术方法相结合。我的项目将在埃克塞特大学校园的东部灰松鼠长期野外场地进行（2005年由我提议的主要导师Lisa Leaver博士建立）。东部灰松鼠是分散捕食者，一年中的大部分时间都依靠储存的食物。因此，缓存决策对个体的生存非常重要。松鼠通常被认为是不合群的，但两性都是共同筑巢的，雌性表现出天生的哲学，有重叠的家园范围。校园种群中的个体习惯了人类，并且经常被困住并标记上PIT标签，这样就可以对个体进行多年的监测。这个捕获协议可以让我相对容易地安装GPS项圈和加速度计。