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BMDA 2024 : 6th International Workshop on Big Mobility Data Analytics


When Mar 25, 2024 - Mar 25, 2024
Where Paestum, Italy
Abstract Registration Due Jan 6, 2024
Submission Deadline Jan 13, 2024
Notification Due Feb 3, 2024
Categories    big data   mobility data analytics   spatio-temporal data

Call For Papers

BMDA 2024 Call for papers

6th International Workshop on Big Mobility Data Analytics (BMDA)
March 25th, 2024, Paestum, Italy
co-located with the EDBT/ICDT Conference

The event will be organized primarily as an in-person event; nevertheless, there will be an online component, in case of travel restrictions or other exceptional situations.

** Selected accepted papers will be considered for a special issue of Geoinformatica journal (Springer) **

Workshop Description
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 6th 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, and 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
- Deep learning models for mobility data
- Generative models for 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
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 (8 pages long): these papers should report original research results or significant case studies.
- Demo Papers (4 pages long): these papers should showcase cutting-edge mobility data analytics software.

Submissions should be formatted using the EDBT/ICDT 2024 camera-ready template (see the instructions at
and submitted through the workshop submission system at EasyChair 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. Following the tradition of recent EDBT/ICDT workshops, all workshop papers will be published online at CEUR-ART style.

As with the previous BMDA editions, selected accepted papers will be considered for a special issue of Geoinformatica journal (Springer).

Important dates
- Abstract Submission: January 6th, 2024 (11:59 PM PDT)
- Paper Submission: January 13th, 2024 (11:59 PM PDT)
- Notification of Acceptance: February 3rd, 2024
- Camera Ready Paper Due: late February 2024 - to be specified
- Workshop date: March 25th, 2024

Organization and Support
Workshop organizers (email:
- Mirco Nanni, National Research Council of Italy (ISTI-CNR) - primary contact
- Alessandra Raffaeta', Ca' Foscari University of Venice, Italy
- Panagiotis Tampakis, University of Southern Denmark, Denmark
- Yannis Theodoridis, University of Piraeus, Greece

Program Committee
- Alexander Artikis, NCSR Demokritos, Greece
- Gao Cong, Nanyang Technological University, Singapore
- Maria Luisa Damiani, University of Milan, Italy
- Christos Doulkeridis, University of Piraeus, Greece
- Hakan Ferhatosmanoglu, The University of Warwick, UK
- Ioannis Kontopoulos, Harokopio University and NCSR Demokritos, Greece
- Ticiana L. Coelho da Silva, Federal University of Ceara, Brazil
- Hua Lu, Roskilde University, Denmark
- Kjetil Norvag, Norwegian University of Science and Technology, Norway
- Kostas Patroumpas, IMIS - Athena Research Center, Greece
- Nikos Pelekis, University of Piraeus, Greece
- Dieter Pfoser, George Mason University, USA
- Chiara, Renso, ISTI-CNR, Pisa, Italy
- Mahmoud, Sakr, Université libre de Bruxelles, Belgium
- Nicklas Sindlev Andersen, University of Southern Denmark, Denmark
- Amilcar Soares, Linnaeus University, Sweden
- Konstantinos Tserpes, Harokopio University of Athens, Greece
- Demetris Zeinalipour, University of Cyprus, Cyprus
- Karine Zeitouni, University of Versailles Saint-Quentin, France
- Dimitrios Zissis, University of the Aegean, Greece

The workshop is supported by:
- MASTER (Multiple Aspects Trajectory Management and Analysis, EU H2020 Programme, 2018-23,
- MobiDataLab (Labs for prototyping future Mobility Data sharing cloud solutions, EU H2020 Programme, 2020-24,
- SoBigData++ (European Integrated Infrastructure for Social Mining and Big Data Analytics, EU H2020 Programme, 2020-24,
- VesselAI (Enabling Maritime Digitalization by Extreme-scale Analytics, AI and Digital Twins, EU H2020 Programme, 2021-23,
- MobiSpaces (New Data Spaces for Green Mobility, EU Horizon Programme, 2022-25,
- EMERALDS (Extreme-scale Urban Mobility Data Analytics as a Service, EU Horizon Programme, 2023-25,
- Green.Dat.AI (Energy-efficient AI-ready Data Spaces, EU Horizon Programme, 2023-25,

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