BMDA 2018Big Mobility Data Analytics

with EDBT 2018 – Mar 26 - 29, 2018 – Vienna, Austria

Keynote Speakers

Keynote Talk 1:

Title: The networks of human mobility, Prof. Dino Pedreschi, University of Pisa & KDD Lab

Abstract:
The digital traces of human dynamics, such as mobile phone data and vehicular GPS trajectories, when observed for sufficiently long periods and suitably interpreted, allow to re-construct the detailed networks of individual mobility of large masses of people. This has been the starting point for the discovery of various data science models at my lab, the Knowledge Discovery and data Mining Lab at Pisa. My talk gives a brief account of both collective models of urban dynamics and individual models of personal behavior. The first category includes: i) the real-time demography of urban stocks and inter-city flows of city-users (residents, commuters, and visitors), ii) the urban mobility atlas of the emergent time-table of a city, iii) the returners-explorers dichotomy, iv) the relation between mobility diversity and economic development, v) the emergence of the polycentric city.​ The personal models include activity recognition, i.e., how to discover the purpose of a user's movements, and proactive ride matching for carpooling, based on the individual and collective networks of users' mobility. We advocate a "personal data analytics" approach to empower users' awareness and boost analytical quality, based on the privacy-preserving combination of individual and collective patterns.​

Bio:
Dino Pedreschi is a professor of Computer Science at the University of Pisa, and a pioneering scientist in data science and big data analytics and their impact on society. Since 1994, he co-leads the Pisa KDD Lab - Knowledge Discovery and Data Mining Laboratory http://kdd.isti.cnr.it​, a joint research initiative of the University of Pisa and the Information Science and Technology Institute of the Italian National Research Council, one of the earliest research labs centered on data mining. Dino is a founder of SoBigData.eu, the H2020 Research Infrastructure on Social Mining and Big Data Analytics http://www.sobigdata.eu, and of one the earliest master degree targeted at the education of inter-disciplinary data scientists, started in 2002. Dino received a Google Research Award for his research on privacy-preserving data mining.

For more information see Dino's homepage

Keynote Talk 2:

Title: Big Data Value in Mobility and Logistics, Dr. Andreas Metzger, Universität Duisburg-Essen

Abstract:
Big data is expected to have a profound economic and societal impact in mobility and logistics. Examples include 500 billion USD in value worldwide in the form of time and fuel savings, and savings of 380 megatons CO2. With freight transport activities projected to increase by 40% in 2030, transforming the current mobility and logistics processes to become significantly more efficient, will have a profound impact. A 10% efficiency improvement may lead to EU cost savings of 100 billion EUR. This keynote will highlight the key value dimensions for big data in mobility and logistics. The talk will present examples from the EU Horizon 2020 lighthouse project TransformingTransport, demonstrating the transformations that big data can bring to the mobility and logistics sector. TransformingTransport addresses 13 pilots in seven highly relevant pilot domains within mobility and transport that will benefit from big data solutions and the increased availability of data. The talk will close with an outlook on barriers and future opportunities.

Bio:
Dr. Andreas Metzger is senior academic councillor and head of adaptive systems and big data applications at paluno, the Ruhr Institute for Software Technology of the University of Duisburg-Essen (Germany). In addition, he is deputy secretary general of BDVA (the European Big Data Value Association) and steering committee vice chair of NESSI (the European Technology Platform dedicated to Software, Services and Data). He also serves as member of the Big Data Expert Group of the PICASSO project, an EU-US collaboration action on ICT topics. He is technical coordinator of the Big Data Value PPP lighthouse project TransformingTransport and chief architect of the EU research and innovation action RestAssured, focussing on secure data processing in the cloud. His background and current interests are software engineering for data-intensive and adaptive systems. He has co-authored around 100 papers, articles and book chapters. He acted as program committee member for numerous international conferences and workshops and co-organized over 15 international workshops and conference tracks.

For more information see Andreas's homepage