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Invited Talk - Dr. Peter Geczy

Last modified 2014-07-04 17:52

Data Science Emergence
Dr. Peter Geczy
National Institute of Advanced Industrial Science and Technology (AIST), Japan

Date & Time: 12:00 - 01:00pm; July 23 (Wednesday), 2014
LOCATION: Ballroom 1


    Explosion of digital data and its diversity over the past decade has been challenging scientists and practitioners in a range of areas. Vast amounts of data are being produced every day. It is estimated that the growth rate is exponential and no saturation point, or gradual flattening, is expected to occur in a near-future. The present trend indicates that the rapid data expansion will interpenetrate into a broader spectrum of scientific, commercial and social spheres. The necessity to cope with these challenges gave birth to Data Science - an emerging field of scientific and educational endeavor. Data Science is a novel interdisciplinary domain that has been progressively forming over the past decade. It addresses two pressing needs: a coherent scientific approach to rising data related challenges and a growing demand for education of new professionals - data scientists. We shall explore both scientific and professional aspects of these emerging initiatives.


    Dr. Peter Geczy is with the National Institute of Advanced Industrial Science and Technology (AIST). He also held positions at the Institute of Physical and Chemical Research (RIKEN) and the Research Center for Future Technologies. His interdisciplinary scientific interests encompass domains of data science, human interactions and behavior, social intelligence technologies, privacy, information systems, knowledge management and engineering, artificial intelligence, and adaptable systems. His recent research focus also extends to the spheres of service science, engineering, management, and computing. He received several awards in recognition of his accomplishments. Dr. Geczy has been serving on various professional boards and committees, and has been a distinguished speaker in academia and industry.
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