ISSI WS on "Forecasting Science: Models of Science and Technology Dynamics for Innovation Policy" on June 29, 5-7p

[Katy Borner]

Dear all,
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
    and Maps
    <http://www.ea-aw.org/events/annual-ea-conferences/annual-ea-conference-2015.html>”,
    Bonn, Germany.


It was a very productive conference and all slides will become available 
online shortly.
Best regards,
k


--------------------------------------------------------------------------------------------------------------------------------
*Forecasting Science: Models of Science and Technology Dynamics for 
Innovation Policy*

*Organizers: *

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.

*References*

  * 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/
    <http://cns.slis.indiana.edu/docs/publications/2012-scharnhorst-modsci-springer.pdf>.
    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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