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This volume describes frontiers in social-behavioral modeling for
contexts as diverse as national security, health, and on-line
social gaming. Recent scientific and technological advances have
created exciting opportunities for such improvements. However, the
book also identifies crucial scientific, ethical, and cultural
challenges to be met if social-behavioral modeling is to achieve
its potential. Doing so will require new methods, data sources, and
technology. The volume discusses these, including those needed to
achieve and maintain high standards of ethics and privacy. The
result should be a new generation of modeling that will advance
science and, separately, aid decision-making on major social and
security-related subjects despite the myriad uncertainties and
complexities of social phenomena. Intended to be relatively
comprehensive in scope, the volume balances theory-driven,
data-driven, and hybrid approaches. The latter may be rapidly
iterative, as when artificial-intelligence methods are coupled with
theory-driven insights to build models that are sound,
comprehensible and usable in new situations. With the intent of
being a milestone document that sketches a research agenda for the
next decade, the volume draws on the wisdom, ideas and suggestions
of many noted researchers who draw in turn from anthropology,
communications, complexity science, computer science, defense
planning, economics, engineering, health systems, medicine,
neuroscience, physics, political science, psychology, public policy
and sociology. In brief, the volume discusses: Cutting-edge
challenges and opportunities in modeling for social and behavioral
science Special requirements for achieving high standards of
privacy and ethics New approaches for developing theory while
exploiting both empirical and computational data Issues of
reproducibility, communication, explanation, and validation Special
requirements for models intended to inform decision making about
complex social systems
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