***** To join INSNA, visit http://www.insna.org ***** 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 _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.