Planning Grant: Engineering Research Center for Autonomous Sustainable Urban Systems (ATLAS)

规划补助金：自治可持续城市系统工程研究中心(ATLAS)拟议中的自治可持续城市系统研究中心(ATLAS)将创造一个未来，社区中的自治系统将共同努力，促进其可持续性并加强其治理，从而显著提高其居民的生活质量。该环境与环境研究中心将应对重大挑战，即显著改变我们建设和管理城市环境的方式，创建可持续城市和社区，这是联合国的可持续发展目标，并与包括国家工程院S工程在内的许多机构的目标保持一致。由于支撑这些挑战的城市系统的复杂性，ERC将需要创建从根本上整合自主系统技术和城市系统工程(例如，智能城市农业、自主净零能源社区等)的新方法。为了通过尊重社区的新型治理战略来改善社会、经济和环境的可持续发展目标？S表示，这是一种全面自治(例如，通过平衡商业利益、隐私和治理影响)。这套改变范式的解决方案将需要一种融合的研究方法，以平衡围绕自治城市系统技术；社会、经济和环境可持续性；以及治理、伦理和隐私的问题。同样，它将结合来自多个知识领域(如科学、工程、哲学、心理学)、政府机构、行业利益攸关方以及最重要的是社区协会的专门知识，以确保其在实践中的可行性和适用性。这笔ERC规划赠款将汇集合适的合作伙伴和研究方法，使这一愿景成为现实，包括其他大学的关键研究人员，从而最大限度地发挥影响。为了确保包含不同的声音和观点，我们将利用我们与妇女和交通运输多样性协会的长期合作，CMU？S与阿勒格尼县社区学院的正式关系，以及CMU工程学院？S与历史上的黑人学院和大学的关系。规划工作将为学术界？S参与支持和推进国家科学基金会？S城市可持续发展研究计划的愿景、使命和目标，以及在研究和教育计划、项目和相关活动中的合作奠定基础。这项规划拨款将通过吸引来自学术界、政府和工业界的参与者，包括土木工程和环境工程、电气和计算机工程、机械工程、公共政策、系统工程、经济学、人工智能以及社会和决策科学，在一个有针对性的对话中促进融合，该对话整合了这些社区，以确定最大的系统级机会，以最大化可持续发展的好处，并将城市自动化集成的后果降至最低。我们的环境资源中心规划工作有两个主要目标：(A)建立所需的伙伴关系，以形成一个多样化、跨学科和技术强大的利益相关者社区；以及(B)确定和阐述与ATLAS愿景有关的(和跨)能源、交通和食品领域的主要研究重点和研究问题。对这一问题的融合研究方法，重点放在试验台和技术部署上，将开发出直接应用于全国现有社区的解决方案。更系统和更详细地了解自治系统对城市可持续性的作用也将产生适用于自治日益普遍的其他情况(例如，空间探索、生态等)的经验教训。此外，这种更好的理解有可能直接改善所有人口部分的公平和生活质量。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Planning Grant: Engineering Research Center for Autonomous Sustainable Urban Systems (ATLAS) The proposed ERC on Autonomous susTainabLe urbAn Systems (ATLAS) will create a future where autonomous systems in a community work together to facilitate its sustainability and enhance its governance, thus significantly improving the quality of life of its residents. This ERC will address the grand challenge of significantly transforming the way we build and manage our urban environment and create Sustainable Cities and Communities, which is a Sustainable Development Goal (SDG) of the United Nations and aligns with the goals of many agencies including the National Academy of Engineering?s (NAE) Engineering Grand Challenges. Due to the complexity of the urban systems underpinning these challenges, this ERC will need to create fundamentally new approaches to integrate autonomous systems technologies and urban systems engineering (e.g., smart urban farming, autonomous net-zero energy communities, etc.) to improve social, economic and environmental sustainability goals with novel governance strategies that respect the community?s overall autonomy (e.g., by balancing commercial interests, privacy and governance implications). This paradigm-shifting set of solutions will require a convergent research approach that balances the issues around autonomous urban systems technologies; social, economic and environmental sustainability; and governance, ethics, and privacy. Similarly, it will combine expertise from multiple knowledge domains (e.g. science, engineering, philosophy, psychology), government institutions, industry stakeholders and, crucially, community associations to ensure their feasibility and applicability in practice. This ERC planning grant will assemble the right partners and research approaches to make this vision a reality, including key researchers at other universities so as to maximize the impact. To ensure that a diversity of voices and perspectives are included, we will utilize our long-standing work with Women and Diversity in Transportation Fellowships, CMU?s formal relationship with the Community College of Allegheny County and CMU College of Engineering?s relationship with Historically Black Colleges and Universities. The planning effort will provide a foundation for the academic community?s involvement in supporting and furthering NSF?s vision, mission, and goals for research programs for urban sustainability, and for collaboration in research and education programs, projects, and related activities.This planning grant will foster convergence by engaging participants from academia, government, and industry, across a range of disciplines including civil and environmental engineering, electrical and computer engineering, mechanical engineering, public policy, systems engineering, economics, artificial intelligence, and social and decision sciences in a focused dialogue that integrates these communities to identify the greatest systems-level opportunities for maximizing the sustainability benefits and minimizing the consequences of integration of urban automation. Our ERC planning effort has two main objectives: (a) establish the partnerships required to form a diverse, trans-disciplinary and technically strong stakeholder community; and (b) identify and elaborate the main research thrusts and research questions in (and across) the domains of energy, transportation, and food with respect to the ATLAS vision. A convergent research approach to this problem, with a focus on testbeds and technology deployment will develop solutions have direct application to existing communities across the nation. A more systematic and detailed understanding of the role of autonomous systems for urban sustainability will also produce lessons that are applicable in other contexts where autonomy is becoming more prevalent (e.g., space exploration, ecology, etc.). Moreover, this improved understanding has the potential to directly improve equity and quality of life for all segments of the population.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.