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This book aims to review and describe major threads in
mathematical modelling of the science system. The model classes we aim
to cover are stochastic and statistical models, system dynamics
approaches, agent-based simulations, population dynamics models,
complex network models. This list should not be understood as
exclusive. Other topics relevant in the context of the book are: Social
network analysis and sociological models; entropy and information
measures; role of geographic models; modelling individual scientific
biographies; etc. Model classes often combine descriptive and
predictive elements—this book places a strong emphasis on the latter.
Each model class will be covered by one chapter,
which
includes a general introduction, extended literature review, s
ample models and applications.
The book will also feature an introductory chapter that
defines and operationalizes terminology used in the study of science
and a review chapter that discusses and compares existing modelling
approaches. These two chapters, will be made available in the beginning
of the production processes to all authors, to avoid duplications and
to enhance the coherence of the book. In addition, there will be a
chapter on the communication of science modelling results by means of
static, dynamic, and interactive visualizations. A chapter on future
science modelling trends concludes the book. As editors we are also
open to suggestions of additional chapters, e.g., on model validation,
model application in science policy, etc.
The following list indicates possible chapters.
Chapter 1: Basic units of science, their aggregations
and interlinkages, existing laws and model types.
Chapter 2: The history of modelling science
Chapter 3: Statistical models and stochastic processes
– from skew distributions to reliability of indicators
Chapter 4: System dynamic approaches to science modeling
Chapter 5: Agent-based modelling – from kenes
to epistemic landscapes
Chapter 6: Population dynamic models and epidemic
models – the diffusion of ideas
Chapter 7: Complex network models – from networks of
citations to networks of collaboration
Chapter 8: Communicating modelling results– a new
dynamic cartography of science
Chapter 9: Toward international science forecasts –
real-time data analysis and modelling of global semantic S&T data
WE INVITE POSSIBLE AUTHORS TO SUBMIT AN OUTLINE OF THE
CHAPTER (max. 4 pages) INCLUDING AN ABSTRACT ABOUT THE AREA, RESEARCH
QUESTIONS AND MODELS COVERED BY THIS CHAPTER AND A PROVISIONAL TABLE OF
CONTENT WITH HEADINGS OF THE SUBSECTIONS AND A TWO-LINE SUMMARY OF EACH
SUBSECTION.
The book addresses a wider academic audience than
specialists in mathematical modelling. We encourage authors to use a
language style which corresponds to this envisioned audience.
Final chapters have to use Springer templates and will
be around 20-25 pages (10 000 – 12 000 words) each.
Call for the book:
March 15, 2010
Submission of 2-page chapter outline:
April 15th, 2010
Selection of chapters and invitation:
May 15th, 2010
Submission of full papers:
Oct 1th, 2010
Feedback from review process:
Dec 1th, 2010
Final drafts for print:
Jan 31st, 2011
Appearance:
March-April,
2011