EAGER: Exploring the Coupled Dynamics of Urban Systems Using Data Science and Micro-Experimentation

这一早期概念探索性研究补助金(AGIRE)项目将帮助发展必要的基本科学和工程基础，以催生使城市和社区更可持续发展所需的新技术和系统。加州帕洛阿尔托市中心的三到四个街区将被用来形成一个活的实验室，用于收集关于建筑、能源和交通基础设施系统以及社区底层人类系统的高分辨率数据。通过与帕洛阿尔托市建立密切的伙伴关系，该项目将在学术界和民间社会产生广泛的影响。结果将便于帕洛阿尔托市政府官员查阅和传播，使市政官员能够做出数据知情的设计、管理和政策决策。这项工作将包括向公众提供研究数据和调查结果，作为帕洛阿尔托开放数据倡议的一部分，从而帮助促进更积极参与的人口和整体公民福祉。该项目还将帮助培养一支能够设计和管理我们未来城市和社区的高级科学劳动力，方法是将“生活实验室”与斯坦福大学提供的MS和博士课程进行教学整合，以及大规模的在线开放课程(MOOC)倡议。该项目解决了快速城市化对无数复杂和相互依存的城市系统(例如，能源、交通、环境、建筑)施加的巨大压力。一个系统的变化可能会对其他系统产生重大影响，从而难以识别和预测城市设计、管理和政策决策的影响。这项工作旨在开发和使用一个全新的数据驱动的微观实验框架，以表征和量化城市基础设施和人类系统之间的耦合相互作用和动态。加州帕洛阿尔托市中心的三到四个街区将配备传感器，形成一个活实验室，收集关于建筑、能源和交通基础设施系统以及社区底层人类系统的高分辨率数据。将开发一个多维网络模型，以同时分析多个传入的城市数据流。利用网络数据分析的结果，将在这个活的实验室中进行实证微观实验，以了解一个城市系统的变化如何影响其他系统。最终，该项目将为研究城市系统的耦合动力学贡献一个新颖的微观实验框架，它代表着从将城市系统纯粹视为技术的根本转变，并将社会政策的概念纳入从社会-技术角度研究城市系统。

This EArly-concept Grant for Exploratory Research (EAGER) project will help develop the underlying scientific and engineering foundation necessary to spawn the new technologies and systems necessary to make cities and communities more sustainable. Three to four blocks in downtown Palo Alto, California, will be instrumented to form a living lab for the collection of high-resolution data on building, energy and transportation infrastructure systems and the underlying human systems of the community. By engaging the City of Palo Alto in a close partnership, this project will have broad impacts in both the academic and civic communities. Results will be readily accessible and disseminated to Palo Alto municipal officials to empower municipal officials to make data-informed design, management and policy decisions. This work will include making study data and findings available to public as part of Palo Alto's Open Data Initiative thereby helping to promote a more engaged population and overall citizen well-being. This project will also help train an advanced scientific workforce capable of designing and managing our future cities and communities through pedagogical integration of the "living lab" into MS and PhD course offerings at Stanford University and a Massive Online Open Course (MOOC) initiative.This project addresses the enormous pressure rapid urbanization is exerting on the myriad of complex and interdependent urban systems (e.g., energy, transportation, environmental, buildings). Changes in one system can have substantial impacts on others making it difficult to discern and predict the effects of urban design, management and policy decisions. This work aims to develop and employ a radically new data-driven micro-experimentation framework to characterize and quantify the coupled interactions and dynamics between urban infrastructure and human systems. Three to four blocks in downtown Palo Alto, California, will be outfitted with sensors to form a living lab for the collection of high-resolution data on building, energy and transportation infrastructure systems and the underlying human systems of the community. A multi-dimensional network model will be developed to simultaneously analyze multiple incoming urban data streams. Utilizing the results of the network data analysis, empirical micro-experiments will be conducted in this living lab to understand how changes in one urban system impact other systems. Ultimately, this project will contribute a novel micro-experimental framework for studying the coupled dynamics of urban systems that represents a radical shift away from viewing urban systems as purely technical, and integrates concepts from social policy to study urban systems from a socio-technical perspective.