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Call for paper to the 3rd ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities (ARIC 2020)

  • 1.  Call for paper to the 3rd ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities (ARIC 2020)

    Posted 07-17-2020 17:04

    Dear Colleagues,

    We invite you to submit a paper to the 3rd ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities (ARIC 2020). 

     Workshop Website: https://urbands.github.io/aric2020/

    This workshop will bring together researchers and practitioners from different disciplines to address the challenges of integrating computing, analytics, urban design, public health research/epidemiology, infrastructure resilience modeling, among others to build 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 the context of smart and resilient cities by considering sensor technology, edge computing, interactive visualization and decision support systems, modeling and simulation, and policies in the context of COVID-19 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 resilience assessment 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
    • Development of urban digital twins for smart and resilient cities
    • Deep learning technologies for urban systems planning and management 
    • 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. 

     

    Paper Format

    • Full research paper: 8-10 pages
    • Short research paper or industry demo paper: 4 pages             
    • Vision or statement paper: 2 pages

    Paper Submission Template: Use the ACM Template for your paper: https://www.acm.org/publications/proceedings-template.

     

    Paper Submission Deadlines:

    Paper submission: August 15th, 2020

    Acceptance decision: September 15th, 2020

    Camera ready version: September 30th, 2020

     

    Paper Submission Link: Use the following link to submit your paper: https://easychair.org/conferences/?conf=aric2020.

     

    Workshop Registration information can be found here: https://sigspatial2020.sigspatial.org/registration/

     

    Workshop Format: Because of COVID-19, the final format of the workshop is dependent on the Conference Organizers' decision. For more information, please visit the ACM SIGSPATIAL Conference website: https://sigspatial2020.sigspatial.org/

     

    Workshop Organizers:

    Bandana Kar, Oak Ridge National Laboratory (karb@ornl.gov)
    Xinyue Ye, New Jersey Institute of Technology (xinyue.ye@njit.edu)
    Shima Mohebbi, George Mason University (smohebbi@gmu.edu)
    Guangtao Fu, University of Exeter (G.Fu@exter.ac.uk))

     

     

     

     

     



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    Thanks,
    Babak Aslani
    Graduate Research Assistance
    George Mason University
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