Programme

The workshop will begin by questioning whether it is possible or not to predict technological progress and, if yes, through which methodologies. The answer will lead us to the first and second sessions, respectively focusing on data-driven approaches for complexity economics and science-technology linkages as analytical tools to investigate patterns and dynamics of co-evolution in socio-economic networks. The first set of panels will end with a discussion on patent and network analytics and their role in innovation trajectories’ analysis. Right after, a hands-on workshop on economic complexity, delivered by OECD’s NAEC Initiative, will close the first day.

The second day will begin, in the fourth session, with a focus on economic complexity and its potential for innovation processes both as a theory and methodology. Following, the fifth and sixth session will complete our discussion of an integrated analytical framework for tracking innovation trajectories, respectively focusing on Responsible Research Innovation (RRI) as an anticipatory approach to deal with the impact of innovation and on the potential of integrating network theories and machine learning algorithms for complex innovation ecosystems’ analysis. The second set of panels will be concluded by a session devoted to approaches derived from network sciences to analyse economic growth in both private and public sectors. Following, a hands-on workshop on innovation mapping, delivered by Nesta UK, will close the second day.

The last day will be covered with two more sessions. The eight will investigate the use of indicators of transdisciplinary research through bibliometrics, whereas the ninth will discuss how to identify unfolding production networks and how to single out promising innovation value-chains through complex economic analysis. Lastly, a final roundtable will analyse which tools can be implemented to address policy objectives by means of the desired innovations trajectories for both public and private value-chains, paying particular attention to the case of disruptive innovations.

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List of confirmed speakers

Guido Caldarelli Full Professor of Theoretical Physics, IMT Lucca (IT) & President, Complex System Society
Doyne Farmer Baillie Gifford Professor of Mathematics, University of Oxford & Director of Complexity Economics, INET Oxford Martin School (GB)
Alan Kirman Professor Emeritus of Economics, University of Aix-Marseille III (FR) & Director of Studies, Ecole des Hautes Etudes en Sciences Sociales (EHESS, FR)
Ismael Ràfols Senior Researcher, Ingenio (CSIC-UPV, València – ES) & Visiting Professor, Leiden University
Stephen Roper Professor of Enterprise & Director of Enterprise Research Centre, Warwick Business School (GB)
So Young Sohn Professor of Information & Industrial Engineering, Yonsei University (KR)
Jeroen van den Hoven Full Professor of Ethics & Technology, TU Delft (NL)
Bart Verspagen Professor of International Economics & Director, UNU-MERIT (NL)
Tommaso Ciarli Senior Research Fellow @ SPRU – Science Policy Research Unit, University of Sussex (GB)
Magda Fontana Assistant Professor of Public Economics, University of Turin & Senior Researcher, DESPINA Lab (IT)
Silvia Giordano Head of Networking Lab, University of Applied Science –SUPSI (CH)
Marco Guerzoni Associate Professor of Applied Economics, University of Turin (IT)
François Lafond Senior Research Associate on Technological and Economic Change, Oxford Martin School (GB)
Niels Mejlgaard Full Professor & Associate Dean, Aarhus University (DE)
Emanuele Pugliese Researcher, Joint Research Centre-European Commission, Seville (ES)
Andrea Tacchella Researcher, CNR-Institute for Complex Systems (IT)
Giorgio Triulzi Assistant Professor, Universidad de los Andes School of Management (CO)

 

For any further information about the conference, please send your inquiries to the following e-mail address: inet2019@associazionecest.it