S&CC-IRG Track 1: Connecting the Smart-City Paradigm with a Sustainable Urban Infrastructure Systems Framework to Advance Equity in Communities
S&CC-IRG Track 1: Connecting the Smart-City Paradigm with a Sustainable Urban Infrastructure Systems Framework to Advance Equity in Communities
批准号:
1737633
负责人:
Shashi Shekhar
金额:
$250.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-01 至 2022-08-31
中文摘要
该项目将研究智能城市基础设施系统框架,以促进城市的接入和福祉。随着变革性的新基础设施(如智能电网、城市农场)的出现,这项研究将提供新的视角,了解这些新基础设施在城市中的未来空间部署将如何塑造城市不同领域成果的福祉、健康和环境可持续性。该项目推进了多个学科的基础研究,包括环境和土木工程、计算机科学、城市规划和公共政策。它将创建一个独特的公共数据库,制定公民科学协议,并通过与从事基础设施规划的城市进行知识合作,促进智能可持续城市系统的科学。该项目将通过对研究生和专业人员进行城市规划、政策和可持续性方面的跨学科培训来开展教育活动。此外,公民科学参与的一个重要组成部分是通过K-12教师和学生参与,特别是在人口代表性不足的学校。城市的环境可持续性、人类健康和福祉在很大程度上受到水、能源、食物、住房、交通通信、环卫废物管理和公共空间等关键有形基础设施的影响,以及它们与社会、环境和城市形态参数的相互作用。调查人员将在明尼阿波利斯、圣保罗和塔拉哈西等城市进行跨学科、社区参与的研究项目。这项研究将涉及四个主题:(A)通过使用低成本传感器的新型公民科学/众包运动,开发第一个包含100多个社会-生态-健康和福祉参数的城市内部综合精细数据库;(B)开发先进的计算算法,以发现数据中的热点和空间相关性,并评估数据驱动和受纪律启发的准入和福祉假设;(C)利用(A)和(B)的结果,通过共享情景展望练习,开发具有新基础设施的连接的多基础设施未来情景模型,并评估政策学习和信息价值;(D)注重初中生、研究生和可持续发展专业人员的教育和劳动力发展。这项研究的结果将有助于向公民和政策制定者通报城市正在规划的智能基础设施转型。
英文摘要
This project will investigate a smart urban infrastructure systems framework for advancing access and wellbeing in cities. With transformative new infrastructures (e.g., smart electricity grid, urban farms) on the horizon, this research will provide new perspectives on how the future spatial deployment of these new infrastructures in cities will shape wellbeing, health, and the environmental sustainability of outcomes in the different areas of cities. The project advances basic research in multiple disciplines including environmental and civil engineering, computer science, urban planning and public policy. It will create a unique public database, establish citizen science protocols, and advance the science of smart sustainable urban systems through knowledge co-production with cities engaged in infrastructure planning. The project will engage in educational activities through interdisciplinary training for graduate students and professionals in urban planning, policy and sustainability. Furthermore, a strong component of citizen science engagement is involved through K-12 teachers and students, particularly in schools with underrepresented populations.Environmental sustainability, human health and wellbeing outcomes in cities are significantly shaped by key physical infrastructure provisions of water, energy, food, shelter, transportation-communications, sanitation waste management and public spaces, as well as their interactions with the social, environmental and urban form parameters. The investigators will conduct an interdisciplinary, community-engaged research project in the cities of Minneapolis, St Paul, and Tallahassee. The research will engage four themes: (a) Develop the first comprehensive fine-scale intra-urban database of over 100 social-ecological-health and well-being parameters via novel citizen science/crowdsourcing campaigns using low cost sensors; (b) Develop advanced computational algorithms to uncover hotspots and spatial correlations in the data and evaluate data-driven as well as discipline-inspired access and wellbeing hypotheses; (c) Using outcomes from (a) and (b) develop connected multi-infrastructure futures scenario models with new infrastructures through shared scenario visioning exercises, and evaluate policy learning and value of information; (d) Focus on education and workforce development for middle-high schoolers, graduate students and sustainability professionals. Outcomes from this research will be useful for informing citizens and policymakers about smart infrastructure transition being planned in cities.
期刊论文(42)
专著(0)
科研奖励(0)
会议论文
登录
查看更多内容
Revolutionizing Tree Management via Intelligent Spatial Techniques
通过智能空间技术彻底改变树木管理
DOI:
10.1145/3347146.3359066
发表时间:
2019
期刊:
SIGSPATIAL '19: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
影响因子:
--
作者:
[Xie, Yiqun, Shekhar, Shashi, Feiock, Richard, Knight, Joseph]
通讯作者:
Knight, Joseph
SRNet: A spatial-relationship aware point-set classification method for multiplexed pathology images
DOI:
--
发表时间:
2021
期刊:
影响因子:
--
作者:
[Yan Li;lixx;Majid Farhadloo;Farha]
通讯作者:
Yan Li;lixx;Majid Farhadloo;Farha
Discovering Spatial Mixture Patterns of Interest
发现感兴趣的空间混合模式
DOI:
10.1145/3397536.3422217
发表时间:
2020
期刊:
28th International Conference on Advances in Geographic Information Systems (SIGSPATIAL '20
影响因子:
--
作者:
[Xie, Yiqun, Bao, Han, Li, Yan, Shekhar, Shashi]
通讯作者:
Shekhar, Shashi
DOI:
10.1145/3466688
发表时间:
2021-11-01
期刊:
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
影响因子:
5
作者:
[Gupta, Jayant, Molnar, Carl, Shekhar, Shashi]
通讯作者:
Shekhar, Shashi
DOI:
10.1109/tbdata.2016.2631518
发表时间:
2017-06
期刊:
IEEE Transactions on Big Data
影响因子:
7.2
作者:
[Xun Tang;E. Eftelioglu;Dev Oliver;S. Shekhar]
通讯作者:
Xun Tang;E. Eftelioglu;Dev Oliver;S. Shekhar
共 35 条
EAGER: Spatiotemporal Big Data Analysis to Understand COVID-19 Effects
-
批准号:2040459
-
项目类别:Standard Grant
-
资助金额:$10.0万
-
财政年份:2020
-
负责人:Shashi Shekhar
-
依托单位:
III: Medium: Investigating Spatial-Temporal Informatics for Transportation Science
-
批准号:1901099
-
项目类别:Continuing Grant
-
资助金额:$120.0万
-
财政年份:2019
-
负责人:Shashi Shekhar
-
依托单位:
FEW: A Workshop to Identify Interdisciplinary Data Science Approaches and Challenges to Enhance Understanding of Interactions of Food Systems and Water Systems
-
批准号:1541876
-
项目类别:Standard Grant
-
资助金额:$5.0万
-
财政年份:2015
-
负责人:Shashi Shekhar
-
依托单位:
III: Small: Investigating Spatial Big Data for Next Generation Routing Services
-
批准号:1320580
-
项目类别:Continuing Grant
-
资助金额:$49.99万
-
财政年份:2013
-
负责人:Shashi Shekhar
-
依托单位:
III-CXT: Spatio-temporal Graph Databases for Transportation Science
-
批准号:0713214
-
项目类别:Continuing Grant
-
资助金额:$45.0万
-
财政年份:2007
-
负责人:Shashi Shekhar
-
依托单位:
IGERT: Non-equilibrium Dynamics Across Space and Time: A Common Approach for Engineers, Earth Scientists, and Ecologists
-
批准号:0504195
-
项目类别:Continuing Grant
-
资助金额:$281.92万
-
财政年份:2005
-
负责人:Shashi Shekhar
-
依托单位:
Collaborative Research: SEI: Spatio-temporal Data Analysis Techniques for Behavioural Ecology
-
批准号:0431141
-
项目类别:Standard Grant
-
资助金额:$57.64万
-
财政年份:2004
-
负责人:Shashi Shekhar
-
依托单位:
Databases for Spatial Graph Management
-
批准号:9631539
-
项目类别:Standard Grant
-
资助金额:$10.36万
-
财政年份:1996
-
负责人:Shashi Shekhar
-
依托单位:
国内基金
海外基金
登录
查看更多内容
非 CC17 脑膜炎型无乳链球菌侵袭性毒力因子探索与验证
-
批准号:ZCLMRY26H2002
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:杨颖
-
依托单位:
哌啶醇衍生物4CC2靶向Miz1-BTB调节巨
噬细胞激活在甲型流感病毒感染中的作
用与机制研究
-
批准号:
-
项目类别:省市级项目
-
资助金额:10.0万元
-
批准年份:2025
-
负责人:武文姣
-
依托单位:
CC16通过抑制PM2.5诱导的哮喘小鼠气道上皮细胞铁死亡减轻气道炎症的机制研究
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2024
-
负责人:
-
依托单位:
钙调磷酸酶亚基PPP3CC在调控Th17/Treg平衡和实验性自身免疫性
脑脊髓炎中的作用和机制研究
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2024
-
负责人:
-
依托单位:
CC17型高毒力无乳链球菌来源的膜囊泡对脑膜炎的促进作用及机制研究
-
批准号:82301539
-
项目类别:青年科学基金项目
-
资助金额:30万元
-
批准年份:2023
-
负责人:刘婧娴
-
依托单位:
Zn2Cys6转录因子CC11170在真菌互作中调控灰盖鬼伞漆酶Lcc9表达机制
-
批准号:32370133
-
项目类别:面上项目
-
资助金额:50.00万元
-
批准年份:2023
-
负责人:方泽民
-
依托单位:
抗肿瘤抗生素CC-1065中环丙基药效团形成的酶学机制研究
-
批准号:22377141
-
项目类别:面上项目
-
资助金额:50.00万元
-
批准年份:2023
-
负责人:吴联
-
依托单位:
肥厚型心肌病新机制:RB1CC1调控NDP52促线粒体自噬
-
批准号:2023JJ40579
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2023
-
负责人:周琳琳
-
依托单位:
利用CC-ABPP技术鉴定青藤碱抑制结直肠癌的靶蛋白及其机制研究
-
批准号:LQ23B020007
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2023
-
负责人:陈连国
-
依托单位:
CC16通过LVD结合方式调控肺泡上皮细胞焦亡治疗ARDS的机制研究
-
批准号:82302462
-
项目类别:青年科学基金项目
-
资助金额:30万元
-
批准年份:2023
-
负责人:林锦乐
-
依托单位: