イベント / EVENT

Bio:
Prof. Vassilis Christophides is a Professor in the Department of Computer Science, University of Crete and affiliated to the Information Systems Laboratory of the Institute of Computer Science, FORTH.
He graduated in 1988 from the Electrical engineering at the National Technical University of Athens (NTUA), Greece. He received his DEA in computer science in 1992 from the University PARIS VI, and his Ph.D. in 1996 from the Conservatoire National des Arts et Metiers (CNAM) of Paris, France. He has been scientific coordinator of a number of research projects funded by the funded by the European Union, the Greek State and private foundations on the Semantic Web and Digital Preservation at the Institute of Computer Science of FORTH. He recently joined Technicolor, R&I Center in Paris with a leave of absence from the University of Crete. He has published over 130 articles in high-quality international conferences, journals and workshops. He has received the 2004 SIGMOD Test of Time Award and the Best Paper Award at the 2nd and 6th International Semantic Web Conference in 2003 & 2007. He will be the General Chair of the upcoming join EDBT/ICDT Conference in 2014 at Athens.

Abstract:
We are witnessing a new kind of lifelogging applications in the context of quantified-self (QS) movement that spans the physical, cyber and social worlds. Individuals act as first-party data producers by constantly monitoring their bodies, practices, emotions, etc. thought a myriad of wearable sensors or mobile applications (e.g., Fitbit, BodyMedia, Jawbone, Nike, etc.). Such fine-grained personal data are aggregated by a dedicated cyber-infrastructure to the QS trackers in the Internet of Things (IoT) and analyzed by vertical applications (e.g., well-being and health).
Since they have a direct-value for self-reflection, sense making and healthy behavior change, such personal data are additionally shared, compared and commented by the individuals themselves in the cyber world using third-party applications (e.g., Walgreen, PatientsLikeMe, CureTogether, etc.).
However, the value of personal data is not yet fully exploited by their own creators. The emerging IoT bears several similarities with the early days of the WWW: proprietary data formats, data silos and data consumer applications.
Individuals are still striving for tools that can help them to gather, manage and make sense of their digital exhaust. In this talk we will survey major QS research projects and highlight research challenges and opportunities for personal data analytics in order to assist individuals in everyday decision making regarding their quality of life.