Estimating and Testing Heterogeneous Structural Changes

该项目旨在开发新的方法，从数据中提取非中心、不规则的模式，并在气候数据和城市一级种族组成数据中发现这种模式。该项目预计将在方法和经验方面做出贡献，提出创新的数据驱动方法，并提取气候和种族构成数据的重要特征。这一项目的预期成果是采用新的方法来衡量人类活动与极端天气之间的关系，并对动态种族构成进行量化。这些实证研究结果应该证明新方法的实质性好处，为制定应对极端天气和种族隔离的政策提供重要的实证证据。

This project aims to develop new methods of extracting non-central, irregular patterns from data, and to detect such patterns in climate data and city-level racial composition data. The project expects to have methodological and empirical contributions, propose innovative data-driven approaches, and extract important features of climate and racial-composition data. The anticipated outcomes of this project are new methods of measuring the relationship between human activities and extreme weather, and for quantifying dynamic racial composition. These empirical results should demonstrate the substantial benefits of the new methods by presenting important empirical evidence for designing policies against extreme weather and racial segregation.