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This monograph, co-authored by three longtime collaborators, aims
to promote the interdisciplinary field of mathematical biology by
providing accessible new approaches to study natural systems. As
there is currently scarce literature on the applications of
mathematical modelling for biology research, this book presents a
new way of studying interactions at the level of populations,
societies, ecosystems, and biomes through open-sourced modeling
platforms. It offers an interdisciplinary approach to analyzing
natural phenomena-for example, by showing how master equations
developed to describe electrical circuits can also describe
biological systems mathematically. Ultimately it promotes a method
of study based on modelling and mathematical principles,
facilitating collaboration between mathematicians, biologists,
engineers, and other researchers to enrich knowledge of the world's
ecosystems.
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Digital Transformation and Global Society - First International Conference, DTGS 2016, St. Petersburg, Russia, June 22-24, 2016, Revised Selected Papers (Paperback, 1st ed. 2016)
Andrei V. Chugunov, Radomir Bolgov, Yury Kabanov, George Kampis, Maria Wimmer
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R3,483
Discovery Miles 34 830
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the First
International Conference on Digital Transformation and Global
Society, DTGS 2016, held in St. Petersburg, Russia, in June 2016.
The 43 revised full papers and 15 revised short papers, presented
together with 3 poster papers and an invited paper were carefully
reviewed and selected from 157 submissions. The papers are
organized in topical sections on eSociety: New Social Media
Studies; eSociety: eGovernment and eParticipation: Perspectives on
ICTs in Public Administration and Democracy; eKnowledge: ICTs in
Learning and Education Management; eCity: ICTs for Better Urban
(Rural) Planning and Living; eHealth: ICTs in Healthcare; eScience:
Big Data Complex Calculations.
This monograph, co-authored by three longtime collaborators, aims
to promote the interdisciplinary field of mathematical biology by
providing accessible new approaches to study natural systems. As
there is currently scarce literature on the applications of
mathematical modelling for biology research, this book presents a
new way of studying interactions at the level of populations,
societies, ecosystems, and biomes through open-sourced modeling
platforms. It offers an interdisciplinary approach to analyzing
natural phenomena-for example, by showing how master equations
developed to describe electrical circuits can also describe
biological systems mathematically. Ultimately it promotes a method
of study based on modelling and mathematical principles,
facilitating collaboration between mathematicians, biologists,
engineers, and other researchers to enrich knowledge of the world's
ecosystems.
|
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