Time+Place: Sunday 08/06/2014 14:30 Room 337-8 Taub Bld.
Title: The Aha! Moment: From Data to Insight
Speaker: Dafna Shahaf - CS-Lecture http://i.stanford.edu/~dshahaf/
Affiliation: Stanford University
Host: Shaul Markovitch

Abstract:


The amount of data in the world is increasing at incredible rates.
Large-scale data has potential to transform almost every aspect of 
our world, from science to business; for this potential to be
realized, we must turn data into insight. 
In this talk, I will describe two of my efforts to address this problem
computationally: 

The first project, Metro Maps of Information, aims to help people understand
the underlying structure of complex topics, such as news stories or research 
areas. Metro Maps are structured summaries that can help us understand the 
information landscape, connect the dots between pieces of information, and 
uncover the big picture. 

The second project proposes a framework for automatic discovery of
insightful connections in data. In particular, we focus on identifying 
gaps in medical knowledge: our system recommends directions of research 
that are both novel and promising. 

I will formulate both problems mathematically and provide efficient,
scalable methods for solving them. User studies on real-world datasets 
demonstrate that our methods help users acquire insight efficiently across 
multiple domains. 


Short Bio: 
Dafna Shahaf is a postdoctoral fellow at Stanford University. She received
her Ph.D. from Carnegie Mellon University; prior to that, she earned an M.S.
from the University of Illinois at Urbana-Champaign and a B.Sc. from
Tel-Aviv university. Dafna's research focuses on helping people make sense
of massive amounts of data. She has won a best research paper award at KDD
2010, a Microsoft Research Fellowship, a Siebel Scholarship, and a Magic
Grant for innovative ideas.