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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