|3rd ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities (ARIC 2020) Tuesday, November 3, 2020 Seattle, Washington, USA|
The advancements in sensor technology and ubiquity of connected devices has enabled the generation of large volume of disparate, dynamic and geographically distributed data both by scientific communities and citizens. The socio-technological innovations motivate the concept of smart and connected cities. A smart city is forward-looking and progressive and has the potential to provide high-quality life. A resilient city can preserve its activities and bounce back to its previous stage in the face of an emergency while meeting the daily activities and needs of its citizens. It is imperative to improve our understanding of Resilient and Intelligent Cities in order to leverage these new powerful technologies to tackle the challenges ranging from climate change, public health, traffic congestion, economic growth, to digital divide, social equity, political movements, and cultural conflicts, among others.
The discussion about making a city intelligent and resilient is occurring on two parallel planes. The COVID-19 pandemic has highlighted the difference between smart and resilient cities more so than any other hazard events. For instance, the availability of real-time data and analytics, cloud computing and artificial intelligence (AI) have enabled the development of dashboards and platforms to help with decision-making during this pandemic. Nevertheless, these platforms and dashboards have not been useful in addressing the resilience of the impacted communities as evident from the economic stress that every country is facing around the world. The occurrence of other natural hazards like cyclone Amphan in India or flooding in Michigan due to dam failure during COVID-19 has also brought forth the disconnect between society and technology in this discussion about smart and resilient cities. The challenge now is not only to leverage high performance computing or augmented reality to help with decision making, but also the need to plan and design intelligent cities under the framework of resilience so that online and real-time knowledge discovery from dynamic data streams could be used in conjunction with static data sets to help practitioners and researchers with their policy decisions.
TO BE RELEASED IN OCTOBER 2020.
Paper awards will be announced during the workshop following the presentations.
Following our success in ARIC 2019, the 3rd International Workshop on Advances on Resilient and Intelligent Cities (ARIC 2020) will bring together researchers and practitioners from different disciplines to address the challenges of integrating computing, analytics, public health research, infrastructure resilience and urban sciences in building intelligent and resilient cities that can withstand the impacts of future pandemics and extreme events. This workshop will provide a platform to discuss research areas and issues in modeling urban design by considering sensor technology, edge computing, interactive visualization, modeling and simulation, and advanced data analytics in the context of the current pandemic and continuing extreme events to prepare for future events and build resilient cities. Given the need to implement artificial intelligence and real-time analytics on the edge to meet the demands of such cities, this workshop fits the general theme of ACM SIGSPATIAL.
This year’s workshop invites papers in the following areas:
- Analytics integrating heterogenous spatio-temporal data for prediction, detection of anomalies and unusual patterns.
- Real-time analytics of dynamic and distributed data
- Edge and distributed computing and assess resilience of cyber-physical systems
- Human dynamics in the Age of Smart/Intelligent Systems
- Spatial social network analytics in the built environment
- Theoretical and practical applications of Internet of Things in urban settings
- Optimization of sensor locations for urban resilience in the context of design and planning
- Urban mobility data management and visualization
- Using augmented reality, simulations and 3D-geovisualization for urban planning and decision making
- Case studies of successful deployment of smart and resilient cities
- Policies and theoretical framework for successful deployment of intelligent and resilient cities
- Existing state-of-the-art and future directions in achieving both smart and resilient cities
Specific attention will be given to papers that focus on resilience (community and infrastructure) in the context of COVID-19, and integrate heterogenous data and real-time computing/analytics/visualization to aid with the pandemic and other co-occurring hazards across the world.
Smart Cities and Internet of Things
Presented by Sokwoo Rhee. Internet of Things are unleashing an extraordinary cycle of innovation through smart systems in our everyday life. A lot of cities and communities are striving to deploy advanced solutions that can increase productivity, sustainability, and improve the quality of life for residents. This presentation will provide an overview of the structure of smart cities, global trends, and technical issues and challenges. It will also discuss how NIST is working with private sector stakeholders and other U.S. federal agencies to enables cities and communities worldwide to share ideas, develop comprehensive requirements and solutions to their common issues, and leverage their respective investments.
Sokwoo Rhee is Associate Director for Cyber-Physical Systems (CPS) Innovation at the National Institute of Standards and Technology (NIST), U.S. Department of Commerce. He is leading smart city and Internet of Things (IoT) innovation programs at NIST, including the Global City Teams Challenge (GCTC) and the Smart Cities and Communities Framework (SCCF) program. He previously served as a Presidential Innovation Fellow on CPS, a program by the White House. His work and achievements have been recognized through multiple awards including MIT Technology Review’s Top Innovators under 35. He received his M.S. and Ph.D. in Mechanical Engineering from MIT. He is leading the Global City Teams Challenge (GCTC) which aims to create a replicable and scalable model for collaborative incubation and deployment of Internet of Things (IoT) and Cyber-Physical Systems (CPS) solutions to improve the quality of life in smart cities around the world.
Public Private Partnerships: Value Capture in Urban Development
By 2050, it is estimated that roughly 70% of the world’s population will live in cities. In an world of high energy climate events, social shocks like SARS, MERS, and COVID, and a need to improve public services and efficient resource-usage there are huge benefits to the effective use of technology in the municipal environments. So why has it been so difficult to deploy technology to improve life and health in the municipal environment. How do public and private entities work together and how do we facilitate value capture in a way that benefits communities while ensuring business incentives are sufficient to encourage investment.
Wilfred Pinfold is the Chief Executive Officer of urban.systems Inc, a company that builds vibrant communities using technology to facilitate civic engagement, deliver services and share resources. Before leading urban.systems he had a 23 year career at Intel where he led research and development programs in Extreme Scale Computing, Internet of Things and Smart Cities. He is a Research Professor in Computer Science at Portland state University, has taught classes in business, innovation, aeronautics, ocean systems and has more than 30 years of experience in computational and data science. He is a member of the City of Portland Technology Oversight committee, holds multiple board positions and is the Honorary Consul for the United Kingdom in Oregon. He received his Ph.D. in Computational Fluid Dynamics from the University of Strathclyde, Glasgow and attended the Stanford Executive Program.
(more programs to be updated)
Call for Papers
This 3rd International Workshop on ARIC invites the following three types of paper presentations:
Full research paper: 8-10 pages. These papers should present a specific problem or topic and discuss methodology and findings along with future research directions.
Short research paper or application demo paper: 4 pages. These papers should demonstrate existing methods, toolkits, and best practices for building intelligent and resilient cities.
Vision or statement paper: 2 pages. These papers should be more situational in their coverage and focus on future directions while identifying gaps and challenges for designing intelligent cities under the resilient framework by addressing existing policy, sociological, and technological challenges.
Manuscripts must be submitted in PDF format using the ACM camera-ready templates available at https://www.acm.org/publications/proceedings-template. This year the workshop will provide two student paper awards.
Full research papers should present a specific problem or topic and discuss methodology and findings along with future research directions. Short research papers should demonstrate existing methods, toolkits, and best practices for building intelligent and resilient cities. Vision papers should be more situational in their coverage and focus on future directions while identifying gaps and challenges for designing intelligent cities under the resilient framework by addressing existing policy, sociological, and technological challenges. All submitted papers will be peer-reviewed to ensure the quality and clarity of the research.
(Updated at August 31st, 2020. The paper submission date is extended. Other dates were adjusted accordingly)
Paper submission: August 15th, 2020 Paper submission: August 31st, 2020
(Extended) Paper submission: September 11th, 2020
Acceptance decision: September 25th, 2020
Camera ready version: October 9th, 2020
information can be found here.
Because of COVID-19, the workshop will be held Virtually. For more information, please visit the ACM SIGSPATIAL Conference website.
Authors and participants will receive information about workshop format as well as the venue (if applicable) as soon as we have this information from the conference organizers.
General Chair: Bandana Kar, Oak Ridge National Laboratory (email@example.com)
Bandana Kar, Oak Ridge National Laboratory (firstname.lastname@example.org)
Xinyue Ye, Texas A&M University (email@example.com)
Shima Mohebbi, George Mason University (firstname.lastname@example.org)
Guangtao Fu, University of Exeter (G.Fu@exter.ac.uk)
Clio Andris , Georgia Institute of Technology (email@example.com)
Husain Aziz , Kansas State University (firstname.lastname@example.org)
Zhiqiang Chen , University of Missouri-Kansas City (email@example.com)
Yao-Yi Chiang , University of Southern California (firstname.lastname@example.org)
Hongchao Fan , Norwegian Institute of Technology (email@example.com)
Shubharoop Ghosh , Imagecat, Inc. (firstname.lastname@example.org)
Weisi Guo , University of Warwick UK (Weisi.Guo@warwick.ac.uk)
Qunying Huang , University of Wisconsin-Madison (email@example.com)
Xiao Huang , University of Arkansas (firstname.lastname@example.org)
Peng Jia , International Institute of Spatial lifecourse Epidemiology (ISLE) (email@example.com)
Subrata K. , Paul Indian Institute of Technology-Shibpur (firstname.lastname@example.org)
Zhenlong Li , University of South Carolina (ZHENLONG@mailbox.sc.edu)
Ian McRae , University of California Berkeley (email@example.com)
Christine Prouty, Senior Manager of Infrastructure Initiatives, American Society of Civil Engineers (ASCE) (firstname.lastname@example.org )
Piyush Patnaik , Syncsort (email@example.com)
Sarbeswar Praharaj , Arizona State University (firstname.lastname@example.org)
Christine Prouty , American Society of Civil Engineers (email@example.com)
Mark Raymond, University of Oklahoma, Norman (firstname.lastname@example.org)
Bing She , University of Michigan (email@example.com)
Daoqin Tong , Arizona State University (Daoqin.Tong@asu.edu)
Mingshu Wang , University of Twente (firstname.lastname@example.org)
Roger Wang , Rutgers University (email@example.com)
Shaohua Wang , New Jersey Institute of Technology (firstname.lastname@example.org)
Liping Yang , University of New Mexico (email@example.com)
Siyu Yu , Texas A & M University (firstname.lastname@example.org)
Yihong Yuan , Texas State University (email@example.com)
Gregory Zacharewicz , National Institute of Mines and Telecommunications Alès France (Gregory.Zacharewicz@mines-ales.fr)
Fan Zhang , Massachusetts Institute of Technology (firstname.lastname@example.org)
Wenwen Zhang , Rutgers University (wenwen.zhangvt.edu)
Zhe Zhang , Texas A & M University (email@example.com)
Lei Zou , Texas A & M University (firstname.lastname@example.org)
Babak Aslani, George Mason University (email@example.com)
Mayra Rodriguez Bennadji, University of Exeter (firstname.lastname@example.org)
Jiaxin Du, Texas A&M University (email@example.com)
Avipsa Roy, Arizona State University (firstname.lastname@example.org)
Dr. Bandana Kar is a R & D Staff in the National Security Emerging Technologies Division at Oak Ridge National Laboratory (ORNL). She was an Associate Professor in the Department of Geography and Geology at the University of Southern Mississippi before joining ORNL. Her research addresses problems in science, technology and policy with a special focus on energy and transportation infrastructure resilience, smart cities and urban resilience, extreme event risk modeling and simulation, risk communication and geo-visualization. She received the Emerging Scholar Award in 2019 from the American Association of Geographers’ Regional Development and Planning Specialty Group) and was a fellow of the National Science Foundation’s Enabling the Next Generation of Hazards and Disasters Researchers Fellowship Program in 2009. She is a co-editor of the book Risk Communication and Community Resilience. She is the chair of the Technical Division Directors’ Council of the American Society for Photogrammetry and Remote Sensing, chair of the Geographic Information Science and Systems specialty group of the American Association of Geographers. She is also an Associate Editor/Social and Behavioral Science Editor for the IEEE Natural Hazards Review. She has been funded by the National Science Foundation, Department of Homeland Security, Department of Energy, NASA.
Dr. Xinyue Ye is an Associate Professor in Department of Landscape Architecture and Urban Planning, Texas A&M University, where he also directs Urban Data Science Lab. He integrates urban science and computational science towards information visualization, urban informatics and spatial social network analysis – the mapping of relationships among individuals in virtual, perceived, and physical networks. He models the space-time perspective of socioeconomic inequality and human dynamics for applications in various domains, such as economic development, disaster response, transportation and land use, public health and urban crime. He won the national first-place research award from University Economic Development Association in 2011 and received the Regional Development and Planning emerging scholar award from American Association of Geographers in 2012. His work has been funded by the National Science Foundation, National Institute of Justice, Department of Commerce, and Department of Energy.
Dr. Shima Mohebbi is an assistant professor in the Department of Systems Engineering and Operations Research at George Mason University (GMU). Prior to joining GMU, she was an assistant professor in the School of Industrial and Systems Engineering at the University of Oklahoma, and a visiting scholar in the University of Exeter’s Center for Water Systems, UK. Her research areas include game theory, hybrid simulation models, and interpretable data mining with applications in resilient infrastructure systems, healthcare systems, sustainable urban water systems, and smart cities. Her research is mainly supported by the NSF and the US DOT. She serves as a board director in the Modeling and Simulation Division of the Institute of Industrial and Systems Engineers, and an associate editor for the International Journal of Applied Logistics.
Dr. Guangtao Fu is a professor of water intelligence at the Centre for Water Systems, University of Exeter, UK. His research focuses on developing and applying computer models, data analytics and artificial intelligence algorithms to tackle urban water challenges related to urban flooding, water supply and urban wastewater management. He is a Royal Society Industry Fellow and Turing Fellow at the Alan Turing Institute. He has been the principal/co-investigator on more than 20 research projects funded by EU, EPSRC, British Council, Royal Society, and Royal Academy of Engineering. He has authored 140 scientific papers and received a number of awards including the 2014 ‘Quentin Martin Best Practice Oriented Paper’ award and 2018 ‘Best Research-Oriented Paper’ award both from the American Society of Civil Engineers. He was elected as a Fellow of the International Water Association (IWA) in July 2018 in recognition of his ‘distinguished contribution to the fields of water science, technology and management’ in the words of IWA.