The 5th IEEE International Workshop on Big Spatial Data (BSD 2020) in conjunction with the 8th IEEE International Conference on Big Data (IEEE BigData 2020), which will be held virtually/online (due to COVID-19 pandemic), December 10-13, 2020.

Call for Papers

Aim and Scope:

Big Spatial Data covers a wide spectrum of data types including (a) Rater data, e.g. Geoimages, (b) Vector data, e.g., Points, Lines, Polygons, and (c) Graph data, e.g. Road network graph. Thus, “Big Spatial Data” deals with massive amounts of real-time spatial and spatio-temporal data obtained from billions of sensors, location-aware devices, remoting sensing satellites, and various models of the physical world. The use of Big Spatial Data spans a variety of applications including social networks, earth sciences, transportation, communication networks, online maps, smart cities and urban planning, remote sensing, and crisis and evacuation management, to name but a few. Turning Big Spatial Data into value is challenging and requires introduction of fundamentally new spatio-temporal algorithms, methods, and systems that can store, mine, and analyze massive amounts of fast growing and heterogeneous spatio-temporal data in a timely manner. The aim of this workshop is to bring together researchers and stakeholders from academia, government, and industry who are encountering and actively addressing problems in the area of Big Spatial Data management and analysis. This workshop offers the audience the opportunity to discuss the lessons which they have learned over the years, to demonstrate what they have achieved so far, and to plan for the future of “Big Spatial Data”.

We encourage researchers from academia and industry to submit papers that highlight the value of Big Spatial Data processing, management, mining, and analysis on topics that include, but are not limited to the following:

* Big Spatial Data: Fundamentals and Theory 
* Big Spatial Data: Management  
* Big Spatial Data: Mining and Analysis 
* Big Spatial Data: Stream Processing 
* Big Spatial Data: Spatial Time Series Querying and Mining 
* Big Spatial Data: Spatial Graph Processing 
* Big Spatial Data: Privacy and Authentication. 
* Big Spatial Data: Descriptive, Predictive, and Prescriptive Models 
* Big Spatial Data: Geosensing 
* Big Spatial Data: Indexing
* Big Spatial Data: Modern Hardware, High Performance Computing, and Cloud
* Big Spatial Data: Visualization 
* Big Spatial Data: Deep Learning 
* Big Spatial Data: NoSQL and NewSQL Data Stores
* Big Spatial Data: Data Frameworks 
* Big Geospatial Information Retrieval and Crowdsourcing 
* Big Geosocial Networks
* Big Spatial Data Applications: Smart Cities and Intelligent Transportation, Urban Computing, Healthcare, Geosciences, etc.

Paper Submission:

Authors with interests in any of the listed topics or any other topic related to Big Spatial Data paradigm are cordially invited to submit their work. All submissions should be in high quality, original and not published or under review elsewhere during the review process.

Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines. Maximum paper length allowed is:
- Full Papers: 10 pages
- Short (work-in-progress) Papers: 4 pages
- Demo Papers: 4 pages
- Position/Vision Papers: 4 pages

If from last three categoizes listed above, the title of the paper should start with “Short Paper:”, “Demo Paper:”, or “Vision Paper:”, respectively. Submitted papers will be reviewed by members of the Workshop Program Committee. At least one author for each accepted paper has to register and present the work.

PC Members:
- Louai Alarabi, Umm Al Qura University
- Ahmed Eldawy, University of California Riverside
- Shahab Helmi, Terumo BCT
- Xiao Liu, University of Arkansas
- Amr Magdy, University of California, Riverside
- Fernando Marianno, IBM T.J. Watson
- Carlo Siebenschuh, IBM T.J. Watson
- Fusheng Wang, Stony Brook University
- Jianting Zhang, City College of New York 
- Demetris Zeinalipour, University of Cyprus 


* Farnoush Banaei-Kashani, , University of Colorado Denver
* Siyuan Lu, , IBM T.J. Watson Research Center
* Chengyang Zhang, , Amazon
* Abdeltawab Hendawi , , University of Rhode Island 

Important Dates:

Paper Submission Deadline: Oct 1, 2020
Notification of Acceptance: Nov 1, 2020
Camera-Ready Submissions: Nov 15, 2020 
Workshop Date: Dec 10-13, 2020