Thursday, November 14,
Location: Room 1110 of the Nguyen Engineering Building
School of Physics, Astronomy, and Computational Sciences
George Mason University
What is Data
Science and Why is it Needed?
Data Science within the context of current trends in Big Data, which
described by three major characteristics: the large volume, variety,
velocity of data. I will focus on a more accurate description of Big
I have recently developed, which makes more sense scientifically:
"Everything, Quantified and Tracked." I will give examples from
astronomy, earth science, education, social networks, law enforcement,
healthcare. I will also describe a few recent events that have placed
(particularly SPACS) at the center of national and international
some Big Data discussions, both in research and in education.
will argue that more needs to be done at Mason to reap the benefits of
recognition. The primary goal of this presentation is to demonstrate
Science represents a new form of scientific inference and
how Mason is contributing. Some scientists have labeled this the 4th
of Science, though some may object to this characterization. In either
the fact is we are now engaged in an entirely new data-intensive
studying the cosmos, the Earth, and life on our planet.