Laboratory for Entrepreneurship in Data Sciences is a research group
focused on rigorously studying algorithmic, mathematical,
engineering, and societal issues that arise in many Internet
applications deluged by massive amounts of data. The laboratory
builds on research from machine learning, game theory, evolutionary
biology, logic and statistical inference from NYU/Courant Institute,
but attracts members from all fields and institutions facing many of
these shared challenges: Silicon Alley, Finance, Advertising and Ad
Technology, Philanthropy, Biomedicine and Engineering. Somewhat
immodestly (and with apologies to Albert Arnold "Al" Gore), the
laboratory aims to reinvent the Internet of the future.
Agent Based Trace Learning in a Recommendation-Verification System
for Cyber Security,
(Submitted, Under review)
(with W. Casey, J.A. Morales, E. Wright, M. Appel,
J. Gennari, L. Metcalf, J. Spring and R. Weaver), 2014.
Cyber Security via Signaling Games: Toward a Science of Cyber Security,"
(with W. Casey, et al.),
10th International Conference on Distributed Computing and
Bhubaneswar, Odisha, India, (February, 2014), 2014.
What Can Information-Asymmetric Games Tell Us About the Context of
Crick's 'Frozen Accident'?
(with J. Jee et al.),
Journal of the Royal Society Interface,