The objective of the First International Summer School on Data Science for Mobility is to offer to participants both visionary keynote speeches and hands-on mini courses. The keynote speeches are held by leading experts on maritime and aviation domains introducing analysis challenges a large quantity of very complex mobility data generated every day.
Aim of the school
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 International 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 analyse 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:
HANDS-ON MINI COURSES
The objective of this panel session is to highlight the emerging issues that relate to the analysis of mobility data and their applications.
Panelists: George Vouros, Thierry Chevallier, Bettina Berendt, Franco Maria Nardini, Luca Pappalardo, Yannis Theodoridis
The Summer School will be in Santorini, Greece
University of Piraeus (Greece)
ORGANIZATION & PUBLICITY CHAIR
University of Piraeus, Greece
Harokopio University, Greece
University of Versailles Saint Quentin, France
University Ca’ Foscari of Venice
University of Piraeus, Greece
Jose Fernandes da Macedo
Federal University of Ceara’, Brazil
Memorial University of Newfoundland
Data Science for Mobility Summer School
THIS SUMMER SCHOOL IS SUPPORTED AND ORGANIZED BY:
This school has received funding from the European Commission’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement N. 777695
The content of this web site reflects only the author’s view and the Agency is not responsible for any use that may be made of the information it contains.
THIS SUMMER SCHOOL IS SPONSORED BY:
For further information: master-summer-chairs [at] isti.cnr.it