OECD Blue Sky Forum location: Het Pand,
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1 Organised by the OECD Directorate for Science, Technology and Innovation, and hosted by BELSPO (Belgian Federal Science Policy Office), the Flemish Government Department of Economy, Science and Innovation, the University of Ghent and the City of Ghent The OECD Blue Sky 2016 Forum will run from 9:00 on Monday 19 September, preceded by a welcome dinner on Sunday 18 September, through 13:30 on Wednesday 21 September, followed by a farewell lunch. OECD Blue Sky Forum location: Het Pand, DRAFT AGENDA - version 27 July 2016 (subject to changes, (*) means to be confirmed) Sunday 18 September 18:30 Welcome by Daniel Termont, Mayor of Ghent, and dinner at Handelsbeurs, Kouter 29, 9000 Ghent Monday 19 September 9:00-9:30 Welcome to Ghent and the OECD Blue Sky Forum Anne De Paepe, Rector, Ghent University Elke Sleurs, State Secretary for Combating Poverty, for Equal Opportunities, for Disabled People and for Science Policy, in charge of Larger Towns, Belgium Mari Kiviniemi, OECD Deputy Secretary General 9:30-9:50 Key note remarks: The Honourable Kirsty Duncan, Minister of Science, Canada 9:50-10:30 Blue Sky key note lecture: Luc Soete, Rector Magnificus of Maastricht University, the Netherlands 10:30-11:00 Networking break - Poster gallery, science maps exhibit 11:00-12:00 Science and Innovation policy-making today: what big questions are begging for an answer? Moderator: DSG Mari Kiviniemi, OECD Deputy Secretary General Key note remarks: Manuel Heitor, Minister of Science, Technology and Higher Education, Portugal Maryann Feldmann, University of North Carolina and National Science Foundation, United States Sadao Nagaoka, Tokyo Keizai University and Japan Patent Office, Japan Paula Stephan, Georgia State University, United States
2 12:00-13:15 Scope and limits of indicator use by STI policy 13:15-14:30 Lunch Innovation is a complex machine, involving several actors and linkages, working differently in different contexts and locations. This session will discuss to what extent policy makers use indicators to understand their science and innovation system, monitor improvements in the way it works, and assess the consequences of their own policies. In particular: can indicators conceived for measurement at a high level of aggregation be used to influence behaviour at a more micro level? To what extent can a plurality of indicators be synthesised into a handful or in a single composite index? Are there any alternatives? Are impact indicators of innovation being used as an (imperfect) substitute for analysis of impact and quantitative policy evaluation? How can researchers and data providers best support the evidence needs of science and innovation decision makers and deliver suitable indicators? Moderator: Luis Sanz Menéndez, CSIC Institute of Public Goods and Policies, Spain Key note remarks: James Wilsdon (*), Director of Impact and Engagement, Sheffield University, United Kingdom Susana Borrás and Charles Edquist, Copenhagen Business School, Denmark Wolfgang Polt, Joanneum Research Forschungsges.m.b.H., Austria Frédérique Sachwald, Observatoire des Sciences et des Techniques (OST), France Dániel Vértesy, Joint Research Centre of the European Commission 14:30-15:45 Towards more inclusive science and innovation indicators There is a broad perception that we lack robust theories and measures that map the ways in which societies seek and adopt novel ideas to address their major challenges. This session will address the reasons why progress in this area of measurement has been limited and what changes and improvements are on the horizon. In this context, can indicators be developed that capture science and innovation in a broader set of environments, such as research areas outside the mainstream, socially excluded groups, local realities, developing world, users and users communities? Can indicators be used to promote socially responsible and inclusive research and innovation policies, practices and outcomes? Are there any relevant examples that can be recommended for broader international adoption? What policy processes would enable adoption of these new indicators? Moderator: Monica Salazar, Inter-American Development Bank Eric von Hippel, MIT Sloan School of Management Ingeborg Meijer, Leiden University, the Netherlands Ismael Rafols, Universitat Politècnica de Valencia, Spain Cassidy R. Sugimoto, Indiana University Bloomington, United States 15:45-16:15 Networking break - Poster gallery, science maps exhibit 16:15-18:00 Parallel sessions Data analytics for science and innovation Technology diffusion and breakthroughs Developing novel indicators from scientometrics Capturing innovation in firms: do we get it right? Leveraging the potential of administrative data for science and innovation policy
3 18:00-18:30 Wrap-up from parallel sessions 20:00 Dinner at Handelsbeurs, Kouter 29, 9000 Ghent Tuesday 20 September 9:00-9:45 Blue Sky key note lecture: Scott Stern, MIT Sloan School of Management, United States 9:45-11:00 Science and innovation policy-making in an era of Big Data Decisions made by science and innovation policy makers, public agencies, university administrators, and many others increasingly leave a digital trace that can be used to help improve the basis of such decisions. Many countries are implementing quantitative and qualitative data infrastructures to support more evidence-based STI policy-making. Some of these are initiated as part of broader open government and big data initiatives, while others are more specific to the STI policy domain. Is science and innovation policy a suitable domain for the application of big data analytics? What is the state of the art? What are the emerging opportunities and limitations of these new tools and techniques? And what are the standards and best practices that governments can promote to ensure greater availability of evidence for decision making? Moderator: Andrew Wyckoff, OECD, Directorate for Science, Technology and Innovation Jeffrey M. Alexander, RTI International, Washington DC, United States Juan Mateos-García, NESTA, United Kingdom Petra Turkama, Aalto University (*), Finland 11:00-11:30 Networking break - Poster gallery, science maps exhibit 11:30-13:00 New models and tools for measuring science and innovation impacts Decision makers wish to understand the likely impacts of their actions in complex and uncertain environments. Measurement and attribution of impacts can be hampered by long lead times, an unknown degree of diffusion, as well as the need to account for systemic effects and actions by several actors. After 10 years of science for science and innovation policy initiatives, what models and tools are being successfully applied in order to improve our understanding of science and innovation impacts? To what extent are the implications of quantitative modelling taken into account in policy decisions? Also, what data and infrastructures are needed to calibrate and assess the performance of science and innovation models? What approaches can be used to facilitate the visualisation and understanding of impacts, beyond traditional positioning indicators? Key note remarks: Commissioner Carlos Moedas (European Commission, Research, Science and Innovation) Moderator: Dirk Pilat, OECD, Directorate for Science, Technology and Innovation Katy Börner, Indiana University, United States Koen Debackere, KU Leuven, Belgium Giovanni Dosi, Scuola Superiore Sant'Anna, Italy Adam Jaffe, Motu Economic and Public Policy Research, New Zealand
4 13:00-14:30 Lunch 14:30-15:45 New data and frontier tools: the challenge for official statistics in science and innovation Traditional business models everywhere are being disrupted. Is that also the case for the production of science and innovation statistics? This session will discuss how national statistical organisations (NSOs) cope with the fragmentation of science and innovation data among several governmental agencies and private repositories. It will also consider the emergence of new data sources, data gathering and analysis tools such as web scraping, natural language processing of unstructured data, online surveys. In this context, are NSOs embracing and leveraging these new tools and testing their performance, or are they leaving them for other actors to exploit? Are traditional NSO products such as survey data becoming less attractive to users, or do they remain instead unique and distinctive sources of intelligence? Ten years from now, what types of science and innovation statistics will be produced by NSOs? Moderator: Paul Schreyer, OECD, Statistics Directorate Key note remarks: Justin Antonipillai, Acting Undersecretary for Economic Affairs, United States Haig McCarrell, Statistics Canada Elisabeth Kremp (*), National Institute of Statistics and Economic Studies (INSEE), France Michail Skaliotis, European Commission, Eurostat Dominik Rozkrut, Central Statistical Office, Poland 15:45-16:15 Networking break - Poster gallery, science maps exhibit 16:15-18:00 Parallel sessions Innovation and IP: what data gaps limit policy discussion? Researchers on the move Interaction and impacts of STI policies Capturing hidden innovators STI actors: the potential of direct surveys 18:00-18:30 Wrap-up from parallel sessions 18:30-20:30 Guided City Tour starting from Het Pand, including stopover for Belgian beer and fries tasting Wednesday 21 September 9:00-10:15 Looking forward: what data infrastructures and partnerships? Data infrastructures underpinning policy making can all too easily be taken for granted. As the focus turns to killer charts, headline indicators or tweets, is there a risk of underinvesting in resource intensive STI datasets, in their integration with other statistical infrastructures and in making them more widely available to address a variety of purposes? The recent trend in the codification and opening of government data also provides an opportunity for understanding how science and innovation takes place and trace its impacts. What opportunities do new digital technologies offer for developing next-generation infrastructures? Data from commercial or non-profit platforms are now beginning to provide new insights on key scientific and
5 innovation processes. How can such disparate sources be brought together? This session will discuss what can be done to develop and turn STI data infrastructures of all types into more relevant and user-friendly tools for decision makers. Moderator: Dominique Guellec, OECD, Directorate for Science, Technology and Innovation Andrea Bonaccorsi, DISTEC, University of Pisa, Italy Cecilia Cabello, Spanish Science and Technology Foundation (FECYT), Spain Laurel L. Haak, ORCID, United States Ed Simons, eurocris, the Netherlands 10:15-10:45 Networking break - Poster gallery, science maps exhibit 10:45-12:15 Parallel sessions Beyond indicators: the innovation and productivity nexus Towards standards for a common research infrastructure Trust, culture and citizen's engagement in science and innovation Developing novel approaches to measure human capital and innovation Surveying innovation in different contexts 12:15-13:30 Concluding Panel: the Blue Sky Agenda Carol Corrado, Conference Board, United States Yuko Harayama (*), Council for Science, Technology and Innovation (CSTI), Cabinet Office, Japan Kaye Husbands Fealing, Georgia Institute of Technology, School of Public Policy, United States Svein Olav Nås, Research Council Norway (RCN) and Chair OECD Working Party of National Experts on Science and Technology Indicators (NESTI) Patrick Vock, State Secretariat for Education, Research and Innovation, Switzerland and Chair OECD Committee for Scientific and Technological Policy (CSTP) Ward Ziarko, Belgian Science Policy Office (BELSPO) 13:30-14:30 Farewell lunch
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