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BMDA 2021 : Big Mobility Data Analytics

Cyprus
Event Date: Mar 23, 2021 - Mar 23, 2021
Submission Deadline: Dec 14, 2020
Notification of Acceptance: Jan 18, 2021
Camera Ready Version Due : Jan 29, 2021

About

From spatial to spatio-temporal and, then, to mobility data. So, what’s next? it is the rise of mobility-aware integrated Big Data analytics. The Big Mobility Data Analytics (BMDA) workshop, initiated in 2018 with EDBT Conference, aims at bringing together experts in the field from academia, industry and research labs to discuss the lessons they have learned over the years, to demonstrate what they have achieved so far, and to plan for the future of “mobility”.

In its 4th edition, the BMDA workshop will foster the exchange of new ideas on multidisciplinary real-world problems, discuss proposals about innovative solutions, and identify emerging opportunities for further research in the area of big mobility data analytics, such as deep learning on mobility data, edge computing, visual analytics, etc. The workshop intends to bridge the gap between researchers and big mobility data stakeholders, including experts from critical domains, such as urban / maritime / aviation transportation, human complex networks, etc.

Call For Paper

The workshop intends to bridge the gap between researchers and big data stakeholders, including experts from critical domains, such as urban / maritime / aviation transportation, human complex networks, etc. Most importantly it aims to unveil real‐world problems and show off novel solutions in such domains that require innovative data analytics solutions.

Multiple fields of data analytics relate to the objectives of this workshop, including, but not limited to:

  • Fundamentals of mobility data analytics
  • Big data platforms for mobility data analytics
  • Parallel / streaming / edge data processing for mobility analytics
  • Predictive analytics using mobility data
  • Complex event detection for moving objects
  • Visual analytics on big mobility data
  • Mobility-as-a-Service
  • Interactive traffic analysis with GPS data
  • Urban / maritime / aviation traffic flow forecasting, travel time prediction
  • Integration / interlinking of mobility with societal data
  • Geosocial networks
  • Social computing / spatial epidemiology and COVID-19 contact tracing
  • Philosophical / ethical / privacy issues on mobility data analytics

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