[Sigmetrics] Call for Papers on "Simulating the Processes of Science, Technology, and Innovation"

[Borner, Katy]

Call for Papers for a special issue of Scientometrics on:


“Simulating the Processes of Science, Technology, and Innovation”

Deadline: 30^th November 2015


    Motivation

In a knowledge-based economy, science and technology are omnipresent and 
their importance is undisputed. Equally evident is the need to allocate 
resources (both monetary and labor) in an effective way to foster 
innovation. In the last decades, science policy has embraced 
scientometrics to gain insights into the structure and evolution of 
science and devised diverse metrics and indicators. However, it has not 
invested significant efforts into modelling the dynamics of science, 
technology, and/or innovation (STI) (mathematically, statistically, and 
computationally). While it may not be possible to predict the nature and 
essence of the next scientific or technological innovation, it is often 
possible to predict the circumstances leading to it, i.e., where it is 
most likely to happen and under which conditions. Some examples are: 
Which career paths are more likely to lead to high impact works? Which 
funding system has the highest return on investments? Which institutions 
will be most productive over the next years?

This special issue calls for models which predict/forecast the structure 
and/or dynamics of STI. The focus is on mathematical, statistical, and 
computational models, but we do not exclude qualitative models as long 
as they can be used to develop scenarios of future STI dynamics. New 
insights about STI can be gained by comparing and relating different 
kinds of models, including data, statistical, observational, 
psychological and computational. This special issue aims to present a 
state of the art in terms such computational models.


    Submission Deadlines

Please feel free to contact the editors with paper proposals. Submit 
full papers by 30^th November 2015. Reviews will become available begin 
of January 2016. Final papers are due February 29, 2016.


    Special Issue Editors

  * Bruce Edmonds, Professor of Social Simulation, Centre for Policy
    Modelling, Manchester Metropolitan University, UK.
  * Andrea Scharnhorst, Royal Netherlands Academy of Arts and Sciences,
    Data Archiving and Networked Services, Amsterdam, Netherlands
  * Katy Börner, ILS, SOIC, Indiana University, USA and Royal
    Netherlands Academy of Arts and Sciences (KNAW), Amsterdam, The
    Netherlands
  * Stasa Milojevic, ILS, SOIC, Indiana University, USA


    Some Background References

·Edmonds, B., Gilbert, N., Ahrweiler, P. & Scharnhorst, A. (2011) 
Special Issue of the /Journal of Artificial Societies and Social 
Simulation/on 'Simulating the Social Processes of Science' 14,(4) 
(Introduction to special issue is at: 
http://jasss.soc.surrey.ac.uk/14/4/14.html).

·Moss, S. and Edmonds, B. (2005) /Sociology and Simulation: Statistical 
and Qualitative Cross-Validation/, American Journal of Sociology, 110(4) 
1095-1131.

·Ahrweiler, Petra, Nigel Gilbert and Andreas Pyka, eds. 2015. Joining 
Complexity Science and Social Simulation for Innovation Policy. 
Cambridge Publishers.

·Scharnhorst, Andrea, Katy Börner, and Peter van den Besselaar, eds. 
2012. Models of Science Dynamics: Encounters Between Complexity Theory 
and Information Science. Springer Verlag.

·Watts, Christopher and Nigel Gilbert. 2014. Simulating Innovation. 
Computer-based Tools for Re-Thinking Innovation. London: Edward Elgar.



-- 
Katy Borner
Victor H. Yngve Professor of Information Science
Director, CI for Network Science Center, http://cns.iu.edu
Curator, Mapping Science exhibit, http://scimaps.org

ILS, School of Informatics and Computing, Indiana University
Wells Library 021, 1320 E. Tenth Street, Bloomington, IN 47405, USA
Phone: (812) 855-3256  Fax: -6166

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