5th International Workshop on Big Mobility Data Analytics (BMDA)
co-located with EDBT/ICDT Conference, 29th March-1st April, 2022 Edinburgh, UK

https://www.datastories.org/bmda22
https://conferences.inf.ed.ac.uk/edbticdt2022/?contents=workshops.html

** Selected accepted papers will be considered for a special issue at Springer's Geoinformatica journal (pending approval) **

** Covid-19 related message: please refer to the announcements of the EDBT/ICDT 2022 Organizing Committee **

Workshop Description
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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, started 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 5th 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. 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.

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
- Geo-social networks
- Social computing / spatial epidemiology and COVID-19 contact tracing
- Philosophical / ethical / privacy issues on mobility data analytics

Paper Submission Procedure, Workshop Proceedings, Journal special section
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We invite papers discussing novel research and ideas without substantial overlap with papers that have been published or submitted to a journal or a conference with proceedings. Submitted papers can be of two types:
- Regular Research Papers: these papers should report original research results or significant case studies. They should be 5000-8000 words (at most 8 pages) long.
- Demo Papers: these papers should showcase cutting-edge mobility data analytics software. They should be 2500-4000 words (at most 4 pages) long.

Submissions should be formatted using the EDBT/ICDT 2022 camera-ready template (see the instructions at https://conferences.inf.ed.ac.uk/edbticdt2022/?contents=EDBT_cameraready.html) and submitted through the workshop submission system at EasyChair [https://easychair.org/conferences/?conf=bmda22].

Following the tradition of recent EDBT/ICDT workshops, all workshop papers will be published online at CEUR [http://ceur-ws.org/]
All submitted papers will be peer reviewed by at least three reviewers. If accepted, at least one of the authors must attend the workshop to present the work.

As with the previous BMDA editions, selected accepted papers will be considered for a special issue of Geoinformatica [https://www.springer.com/journal/10707] (pending approval).

Important dates
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- Paper Submission: January 3, 2022 (11:59PM PDT) (extended deadline)
- Notification of Acceptance: January 31, 2022
- Camera Ready Paper Due: February 25, 2022
- Workshop date: March 29, 2022

Organization and Support
====================
Workshop organizers:
- Nikos Pelekis, University of Piraeus, Greece (npelekis@unipi.gr) -- primary contact
- Alessandra Raffaeta', Ca' Foscari University of Venice, Italy (raffaeta@unive.it)
- Kristian Torp, Aalborg University, Denmark (torp@cs.aau.dk)
- Mahmoud Sakr, Université Libre de Bruxelles, Belgium (mahmoud.sakr@ulb.be)

Supported by:
- VesselAI (Enabling Maritime Digitalization by Extreme-scale Analytics, AI and Digital Twins, 2021-23)
- MASTER (Multiple Aspects Trajectory Management and Analysis, 2018-22)