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When Oct 3, 2022 - Oct 7, 2022
Where Santorini, Greece
Submission Deadline Aug 31, 2022
Categories    summer school   data science   mobility data   data analysis

Call For Papers

October 3 - 7, 2022
Kastelli Resort, Kamari Village, Santorini, Greece

***** Deadline approaching: August 31, 2022 *****

*** Call for Participation ***

Massive amounts of Spatio-temporal data representing trajectories of moving objects are produced by an ever-increasing number of diverse, real-life applications, ranging from mobile to social media apps and surveillance systems, from vehicle tracking systems to IoT mobile sensors. Such mobility-aware traces come in huge numbers and very complex forms and can be enriched with multiple different semantic dimensions. These semantically enriched trajectories have the potential to unveil novel challenges in several domains, such as urban, maritime and aviation.

The explosion in Data Science is happening now. The Big Data technological infrastructure has reached maturity. Significant interest from the research community is being shown towards the Big Data Value Analytics reference model: data management, data processing, data analytics, data visualization. The time is right for the field of Mobility Data Science to follow the trend!

Our First Summer School on Data Science for Mobility offers participants both visionary keynote speeches and hands-on mini-courses held by leading experts in AI and Data Analytics for Mobility from Canada, Greece & Italy. The keynotes speeches will explore the challenges faced due to the voluminous and complex mobility data generated every day in maritime and aviation domains. The hands-on mini-courses complement the keynotes by giving practical experience in the usage of analysis tools on real mobility datasets.

This Summer School is intended for PhD students, researchers and practitioners in the fields of Computer and Information Science, interested in learning about the most recent developments in mobility data science. Attendees will familiarise themselves with the most recent data science trends, including deep learning and AI methods for mobility data, methods to analyze human mobility as well as with methods for big mobility data. With the hands-on experience, participants will gain familiarity with some commonly used tools and datasets.

At the end of the course, each attendee will:

** Understand how to analyze mobility data with deep learning techniques
** Understand how machine learning and AI methods can be tailored to mobility data
** Understand how to manage Big Mobility Data
** Gain significant hands-on experience with state-of-the-art technologies and tools
** Have a vision of open research as well as technological challenges customized to key application areas and domains

Prof. Goce Trajcevski Iowa State University (USA)
Prof. George Vouros, University of Piraeus (Greece)


Title: Deep Learning for Mobility
Tutors: Franco Maria Nardini & Salvatore Trani (ISTI-CNR, Italy)

Title: Human mobility analysis and simulation in Python
Tutors: Luca Pappalardo (ISTI-CNR, Italy)

Title: Learning from our movements: Big Mobility Data Analytics
Tutors: Yannis Theodoridis (Data Science Lab, University of Piraeus, Greece) & Panagiotis Tampakis (Department of Mathematics and Computer Science of the University of Southern Denmark, Denmark)

PANEL: Emerging issues on mobility data science

The objective of this panel session is to highlight the emerging issues that relate to the analysis of mobility data and their applications. Examples of such issues could revolve around: datasets, AI approaches, privacy compromise, unethical use of analysis products and others. The audience will get the chance to participate in a live discussion with experts in the field from academia and industry, who will share their opinions, in a moderated open discussion.

Panelists (initial list):

Prof. George Vouros, University of Piraeus (Greece)
Dr. Thierry Chevallier (AKKA Technologies, France)
Prof. Bettina Berendt (Technische Universität Berlin, Germany & KU Leuven, Belgium)
Dr. Franco Maria Nardini (ISTI-CNR, Italy)
Dr. Luca Pappalardo (ISTI-CNR, Italy)
Prof. Yannis Theodoridis (University of Piraeus, Greece)

Moderator: Konstantinos Tserpes (Harokopio University, Greece)


Registration fee is 300 euro.
Details on the registration procedure, deadlines and the school schedule are available at the school web site:


The Summer School will be held at the Kastelli Resort on the magic island of Santorini, in Greece.


The Summer School has NOT reserved rooms for the school. All the participants are warmly invited to reserve their accommodation on their own as soon as possible.

*** Kastelli Resort, the venue of the Summer School, is a peaceful luxury retreat that combines an idyllic and convenient location, with upscale accommodation, state-of-the-art facilities, and impeccable services.

*** Dioskouri Art Villas is a 3* boutique hotel situated in a central and quiet area of the village Kamari in Santorini, near Kamari Beach. The hotel is two minutes walking from the venue of the summer school.

For details check instructions at:


The Data Science for Mobility school offers a rich social program, including a Welcome cocktail with dinner on Monday 3rd, the trip to Oia to admire the famous Santorini sunset, and a wine tasting experience with the Caldera view. All details are available at:


Nikos Pelekis
University of Piraeus (Greece)

Chiara Renso
ISTI-CNR (Italy)

Beatrice Rapisarda (ISTI-CNR)

Yannis Kontoulis (University of Piraeus, Greece)

Konstantinos Tserpes (Harokopio University, Greece)

Jose Fernandes da Macedo (Federal University of Ceara’, Brazil)
Raffaele Perego (ISTI-CNR, Italy)
Alessandra Raffaeta’ (University Ca’ Foscari of Venice, Italy)
Amilcar Soares (Memorial University of Newfoundland, Canada)
Yannis Theodoridis (University of Piraeus, Greece)
Karine Zeitouni (University of Versailles Saint Quentin, France)


This Summer School is organized and supported by H2020 MSCA project MASTER GA 777695 and sponsored by H2020 VesselAI GA 957237 and H2020 MOBIDATALAB GA 101006879

For further information: master-summer-chairs AT

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