ISSI WS on "Forecasting Science: Models of Science and Technology Dynamics for Innovation Policy" on June 29, 5-7p
katy at INDIANA.EDU
Wed May 13 03:00:37 EDT 2015
we are looking forward to see many of you at the ISSI Workshop on
"/Forecasting Science: Models of Science and Technology Dynamics for
Innovation Policy/" on June 29, 5-7p. More information is provided below.
In preparation of the workshop--independent of your ability to join us
in Istanbul--please complete the Online Questionnaire at
http://goo.gl/forms/Ko7Z9xEQYP by *May 20 *so that we all gain a more
comprehensive understanding of existing STI models developed in research
and used in practice.
Those of you interested in computational models and maps of science
might be interested to check out
* May 11-12, European Academy of Technology and Innovation Assessment
Conference on “Planning, Prediction, Scenarios--Using Simulations
It was a very productive conference and all slides will become available
*Forecasting Science: Models of Science and Technology Dynamics for
Katy Börner, Indiana University, USA
Andrea Scharnhorst, KNAW, The Netherlands
Stasa Milojevic, Indiana University, USA
Petra Ahrweiler, Director and CEO, EA European Academy of Technology and
Innovation Assessment GmbH, Bad Neuenahr-Ahrweiler, Germany
David Chavalarias, Centre d'Analyses de Mathématiques Sociales (CAMS),
Ecole des Hautes Etudes en Sciences Sociales (EHESS), Director of the
Complex Systems Institute of Paris Ile-de-France, Paris, France
Santo Fortunato, Professor of Complex Systems of the Department of
Biomedical Engineering and Computational Science (BECS) of the School of
Science of Aalto University in Espoo, Finland
*Advisor: *Nicolay Vitanov, Professor, Institute of Mechanics, Bulgarian
Academy of Sciences, Alexander von Humboldt Fellow
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 workshop invites the community of researchers working on models of
STI to both share their latest research and collectively create a
roadmap to foster future modeling efforts. Extended abstracts are
solicited for presentation and will be**reviewed by the workshop
organizing committee. We specifically seek models which predict/forecast
the structure and/or dynamics of STI. The focus of the workshop 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.
* 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/
* Watts, Christopher and Nigel Gilbert. 2014. /Simulating Innovation.
Computer-based Tools for Re-Thinking Innovation/. London: Edward Elgar.
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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