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.
Tentative list of Panelists:
- 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. Mahmoud Sakr (Université Libre de Bruxelles, Belgium)
Moderator: Konstantinos Tserpes (Harokopio University, Greece)
Schedule: Friday, October 7th, 2022 @10:00-12:00
Short bios
Thierry CHEVALLIER senior software designer at AKKA Technologies, graduated from ENSEIRB Bordeaux (Electronics and Computer Science) has long experience in SW design, RESTful web services and geodata APIs He participated in various customer and R&D EU projects related to management and publication of geo-localized data, associated standards (OGC, INSPIRE Recommendations) both at the server and client side. He has a good knowledge of the open data ecosystem, being a member of the OpenStreetMap community and giving courses about open data reuse in the University of Toulouse. He is the coordinator of the MOBIDATALAB project on mobility data sharing.
She is professor for Internet and Society at the Faculty of Electrical Engineering and Computer Science at Technische Universität Berlin, Director of the Weizenbaum Institute for the Networked Society, and guest professor in the Declarative Languages and Artificial Intelligence Group DTAI of the Department of Computer Science at KU Leuven.
Franco Maria Nardini is a senior researcher with ISTI-CNR in Pisa (Italy). He received the Ph.D. in Information Engineering from the University of Pisa in 2011. His research interests are focused on Web Information Retrieval (IR), Machine Learning (ML), and Data Mining (DM). He authored more than 70 papers in peer-reviewed international journal, conferences and other venues. In the past, he has been Tutorial Co-Chair of ACM WSDM 2021, Demo Papers Co-Chair of ECIR 2021, Program Committee Chair of the Italian Information Retrieval Workshop (IIR) in 2016 and General Chair of the International Workshop on Tourism Facilities (co-located with IEEE/WIC/ACM Web Intelligence) in 2012. He is co-recipient of the ACM SIGIR 2015 Best Paper Award, of the ECIR 2022 Industry Impact Award, and of the ECIR 2014 Best Demo Paper Award. He is member of the program committee of several top-level conferences in IR, ML and DM, like ACM SIGIR, ECIR, ACM SIGKDD, ACM CIKM, ACM WSDM, IJCAI, ECML-PKDD.
Luca Pappalardo got a Ph.D. in Computer Science at the University of Pisa. He is currently a researcher at the Institute of Information Science and Technologies (ISTI) of the National Research Council of Italy (CNR). His research interests include Data Science and Big Data analytics, with a specific focus on applications like human mobility, social network analysis and sports analytics. He was a recipient of the 2014 Google-ISTAT award on innovative applications of Big Data and he is one of the developer of scikit-mobility, a Python library for human mobility analysis. www.lucapappalardo.com
Konstantinos Tserpes is an Associate Professor at the department of Telematics and Informatics of Harokopio University of Athens.His research interests revolve around intelligent methods to resolve resource allocation issues. Together with his team they have applied those findings along with their software engineering skills in designing and implementing computing platforms that enable classes of novel applications with extraordinary requirements, such as ultra-low latency, big data streams processing, resource-constrained execution, real-time performance, resilient and adaptive operation, etc. He has been involved in several EU- and Nationally-funded projects tackling research challenges in application domains such as multimedia, e-governance, post-production, finance, e-health and others. He has authored more than 100 publications in international scientific conferences and journals and has been cited multiple times in the work of his peers.
He is professor at Université Libre de Bruxelles and Mobility data scientist.
He is main contributor and co-founder in the MobilityDB project (https://github.com/ULB-CoDE-WIT/MobilityDB), experienced in building database systems, and in data management and analytics