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This title was first published in 2000. Since New Labour were
elected in 1997, there have been substantial changes made to local
and regional economic development policy in the UK. This volume
offers an up-to-date overview, setting the new policies within a
wider historic context and suggesting future developments. It
examines four of these new policies in depth - Regional Development
Agencies, New Deal local partnerships, Local Learning and Skills
Councils, and the Small Business Service and Business link. In
doing so, it offers a critical appraisal of how effective these
changes have been in tackling issues such as developing human
resources, skills and opportunities, developing land infrastructure
and sites, capital formation and development, encouraging
innovation, entrepreneurship and technological change and enhancing
a supportive institutional context.
"Social Simulation for a Digital Society" provides a cross-section
of state-of-the-art research in social simulation and computational
social science. With the availability of big data and faster
computing power, the social sciences are undergoing a tremendous
transformation. Research in computational social sciences has
received considerable attention in the last few years, with
advances in a wide range of methodologies and applications. Areas
of application of computational methods range from the study of
opinion and information dynamics in social networks, the formal
modeling of resource use, the study of social conflict and
cooperation to the development of cognitive models for social
simulation and many more. This volume is based on the Social
Simulation Conference of 2017 in Dublin and includes applications
from across the social sciences, providing the reader with a
demonstration of the highly versatile research in social
simulation, with a particular focus on public policy relevance in a
digital society. Chapters in the book include contributions to the
methodology of simulation-based research, theoretical and
philosophical considerations, as well as applied work. This book
will appeal to students and researchers in the field.
"Social Simulation for a Digital Society" provides a cross-section
of state-of-the-art research in social simulation and computational
social science. With the availability of big data and faster
computing power, the social sciences are undergoing a tremendous
transformation. Research in computational social sciences has
received considerable attention in the last few years, with
advances in a wide range of methodologies and applications. Areas
of application of computational methods range from the study of
opinion and information dynamics in social networks, the formal
modeling of resource use, the study of social conflict and
cooperation to the development of cognitive models for social
simulation and many more. This volume is based on the Social
Simulation Conference of 2017 in Dublin and includes applications
from across the social sciences, providing the reader with a
demonstration of the highly versatile research in social
simulation, with a particular focus on public policy relevance in a
digital society. Chapters in the book include contributions to the
methodology of simulation-based research, theoretical and
philosophical considerations, as well as applied work. This book
will appeal to students and researchers in the field.
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