Smart City Digital Twin Convergence Conference

世界各地的城市越来越多地整合社会技术进步，将城市系统转变为智慧城市。随着世界继续城市化，需要城市系统的融合科学、工程和政策，以确保这种变革性发展实际上是在创造可持续的城市系统，造福广大公民和社会。这就需要：（1）融合各种相关的学术学科和来自城市利益相关者的从业人员专业知识;（2）在人类基础设施界面融合网络技术系统，创建一个可称为智慧城市数字孪生的新系统。以推进对智慧城市数字双胞胎的理解、开发和应用为愿景，本次智慧城市数字双胞胎融合会议旨在汇集来自美国大都市地区的学术界、工业界、市政当局和非营利组织的专家，开发一个融合的社会技术框架，通过智慧城市数字双胞胎提供更智能的服务。拟议中的智慧城市数字双胞胎融合会议还打算在这一新兴的调查领域创建一个思想领袖社区。本次融合会议将探讨基础设施系统，人类系统和技术系统交叉点的基础研究。智慧城市数字孪生代表着一种新的关键基础设施，正在改变城市运营和管理。关于单一基础设施智能城市数字孪生体要求的现有知识将在格鲁吉亚理工学院、斯坦福大学、哥伦比亚大学和伊利诺伊大学（芝加哥）正在开发的能源、建筑环境、水和交通领域的新兴测试平台上共享。这种知识共享将提供关于多基础设施相互依赖性的基本见解，以及如何使用物联网（IoT）等网络基础设施支持的技术来感知，分析，控制和可视化人类-基础设施交互。跨学科学术专家、行业从业者和政府官员将参与研讨会式的促进讨论，以创造新的知识，以（1）制定一个框架，用于比较智慧城市数字孪生努力及其演变阶段，（2）为未来的智慧城市数字孪生努力绘制路线图，以促进城市的可持续性、弹性和社会福祉。总之，这些融合会议活动将提供一个关键的凝聚力，作为智慧城市数字孪生的新学科的出现。智慧城市数字结对工作有可能改变城市的宜居性，可持续性和弹性，为各种规模的公司创造新的商机，社区公民参与的新形式，教学实践的创造性形式，以及政府对城市运营和管理的新方法。该奖项反映了NSF的法定使命，并通过使用基金会的学术价值和更广泛的影响审查标准。

Cities around the world are increasingly integrating socio-technical advancements to transform their urban systems toward smart cities. As the world continues to urbanize, convergent science, engineering and policy for urban systems is needed to ensure such transformative developments are, in fact, creating sustainable urban systems that benefit the citizens and societies at large. This requires both: (1) convergence of a variety of involved academic disciplines and practitioner expertise from city stakeholders; and (2) convergence of cyber-enabled technology systems at the human-infrastructure interface, creating a new system that can be referred to as a Smart City Digital Twin. With a vision of advancing understanding, development, and application of Smart City Digital Twins, this Smart City Digital Twin Convergence Conference aims to bring together experts from academia, industry, municipalities, and nonprofit organizations from large metropolitan areas in the United States to develop a convergent socio-technological framework for delivering smarter services through Smart City Digital Twins. The proposed Convergence Conference on Smart City Digital Twins also intends to create a community of thought leaders in this emerging area of inquiry. This convergence conference will explore basic research occurring at the intersection of infrastructure systems, human systems, and technology systems. Smart City Digital Twins represent a new critical infrastructure transforming city operations and management. Existing knowledge on the requirements for single infrastructure Smart City Digital Twins will be shared as emerging testbeds in the areas of energy, built environment, water, and transportation are under development at Georgia Tech, Stanford University, Columbia University and the University of Illinois (Chicago). This sharing of knowledge will provide fundamental insights on multi-infrastructure interdependencies, as well as how human- infrastructure interactions can be sensed, analyzed, controlled, and visualized using cyber-infrastructure enabled technology such as Internet of Things (IoT). New knowledge will be created by engagement of interdisciplinary academic experts, industry practitioners, and government officials in workshop-style facilitated discussions to (1) develop a framework for comparing Smart City Digital Twin efforts and their stages of evolution and (2) chart a roadmap for future Smart City Digital Twin efforts that advance urban sustainability, resilience, and social well-being. Taken together, these convergence conference activities will provide a critical coalescing force as the new discipline of Smart City Digital Twins emerges. Smart City Digital Twinning efforts have the potential to transform the livability, sustainability, and resilience of cities, creating new business opportunities for companies of all sizes, new forms of citizen engagement by communities, creative forms of pedagogical practices, and new approaches to city operations and management by governments.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.