EAGER: Collaborative Research: Modernizing Cities via Smart Garden Alleys with Application in Makassar City

这项活动是为了响应NSF致同事的信：通过美国-东盟（东南亚国家城市联盟）智慧城市伙伴关系（NSF 20- 24）支持研究向城市的过渡，该合作与美国国务院合作。这项研究旨在通过美国和印度尼西亚团队之间的协同合作以及与望加锡市的密切合作，将印度尼西亚望加锡市城市小巷内的智能互联社区和创意花园的创新整合起来。望加锡正努力成为一个宜居的世界级城市，拥有快速增长的170万多样化人口。正在进行的“花园巷”项目旨在通过空气质量、热指数、食品安全和社会互动等因素来改善城市的“宜居性”。迄今为止，望加锡已经在该市的15个街道内建设了40个花园，覆盖了该市相当大一部分小巷。本研究的目标是通过在具有代表性的绿色盟友和传统盟友部署传感器网络，收集与空气质量、微气候和其他因素相关的数据，利用机器学习技术分析异构数据，然后与城市代表和城市内的特定社区分享数据及其见解，从而促进望加锡市花园小巷向智能环境的转变。这项变革性的研究将提供在东盟地区及其他地区设计、优化和部署标准和控制技术所需的基础科学和知识。这项跨学科研究将产生几项重大创新：1)将设计新的低成本、耐用和移动传感器网络，用于东南亚城市湿热气候下的空气质量和小气候监测。2)采用合适的机器学习技术，利用从望加锡现有基础设施和新的移动测试平台收集的多维和异构数据，创建望加锡小巷的智能时空操作地图，可用于城市的各种设计、规划和操作决策。3)通过与印尼合作伙伴的密切接触，探索涉及反馈回路的数据驱动的城市规模智能运营方案。开发的解决方案将是高度动态的，但稳健的，并具有扩展的潜力，以及转移到其他城市。此外，该项目将启动美国和印度尼西亚之间的新合作，提高新兴东南亚城市的生活质量，但具有潜在的广泛适用性，并提供广泛的传播活动，让学生参与国际活动，以及与印度尼西亚当地社区和研究人员的积极接触。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This activity is in response to the NSF Dear Colleague Letter: Supporting Transition of Research into Cities through the US ASEAN (Association of Southeast Asian Nations Cities) Smart Cities Partnership (NSF 20-024), in collaboration with the US Department of State. This research seeks to integrate innovations in smart and connected communities with creative gardens within the city alleys of Makassar City, Indonesia via a synergistic collaboration between US and Indonesian teams and a close partnership with Makassar City. Makassar is striving to become a livable world class city for a fast-growing, diverse population of 1.7 million people. The ongoing “Garden Alley” project in the city aims to improve the “livability” of the city, measured by factors including air-quality, heat index, food security, and social interactions. To date, Makassar has implemented 40 gardens within 15 of the city’s sub-districts, covering a sizable portion of the city’s alleys. The goal of this research is to catalyze the transformation of Makassar City’s garden alleys into smart environments by deploying a sensor network at representative green allies and conventional allies to collect data related to air quality, microclimates, and other factors, to analyze the heterogeneous data using machine learning techniques, and to then share the data and its insights with city representatives and specific communities within the city.This transformative research will provide the foundational science and knowledge that are needed to design, optimize, and deploy S&CC technologies within the ASEAN region and beyond. This interdisciplinary research will yield several major innovations: 1) New low-cost, durable, and mobile sensor networks will be designed for air quality and microclimate monitoring in the hot and humid climate in southeast Asian cities. 2) Suitable machine learning techniques will be employed to exploit the multi-dimensional and heterogeneous data collected from both existing infrastructures and new mobile test platforms in Makassar and create intelligent spatio-temporal operational maps of Makassar’s alleys that can be used for various design, planning, and operational decisions by the city. 3) Data-driven city-scale smart operating schemes involving feedback loops will be explored through close engagement with the Indonesian partners. The developed solutions will be highly dynamic yet robust and have the potential to be scaled, as well as transferred to other cities. Additionally, this project will initiate a new collaboration between the US and Indonesia, improving the quality of life in an emerging southeast Asian city, but with potentially broad applicability, and provide a broad range of dissemination activities, involvement of students in international activities, as well as active engagement with local communities and researchers in Indonesia.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.