STIP Compass – a knowledge infrastructure for transformation?

Past Event
19 January 2022 13:00 (GMT)
19 January 2022 14:00 (GMT)

This panel session focuses on STIP Compass, a digital knowledge management infrastructure maintained by the European Commission and OECD for collecting and displaying data on countries’ STI policies. STIP Compass contains information on more than 6,000 STI policy initiatives currently in force in more than 50 participating countries. Traffic to STIP Compass continues to increase steadily, surpassing 100,000 unique visits per year during 2020. The specific focus of the panel session is on the usefulness of STIP Compass in supporting policy makers and analysts as they seek to promote transformative innovation policy agendas. STIP Compass already explicitly covers several policy priorities and practices directly related to transformative innovation policy. This and other policy data can be analysed to reveal the uptake and distribution of transformative innovation policy priorities and practices over time and across countries. However, web services directed at policy makers, such as interactive dashboards that explicitly provide evidence and guidance on transformative innovation policy agendas and practices, are currently missing. The panel includes presentations from two STIP Compass national contact points, from Portugal and Thailand, who will provide policy perspectives from Europe and the Global South, respectively, on the value and limits of STIP Compass, and how it could be adapted in the future to better serve transformative innovation policy agendas. A third presentation from an early career researcher with deep experience of analysing STIP Compass data will provide an analyst’s perspective.

Ref: #37

Knowledge infrastructures for transformation


Michael Keenan
Michael Keenan is a Senior Analyst in the OECD’s Directorate for Science, Technology and Innovation. He has worked in the science and innovation policy field for more than two decades, focusing on strategic policy intelligence (foresight, evaluation) practices and national innovation system analysis. He has been at the OECD since 2007, where he leads preparation of the flagship Science, Technology and Innovation Outlook publication. Among other things, the STI Outlook explores some of the main trends and issues that are set to influence science and innovation over the next decade. He also leads the team responsible for the EC-OECD STIP Compass platform, a semantic database of more than 6,000 STI policy initiatives from more than 50 countries. He is also responsible for managing the OECD’s S&T Policy 2025 initiative, which aims to provide an overarching vision and framework for STI policymakers to rethink, redesign and implement a new generation of STI policies that better contributes to sustainability transitions. He previously participated in several OECD reviews of innovation policy, including those of Sweden, Korea, Netherlands, Mexico, Russia, and SE Asia. He is on the advisory boards of the international journals Technological Forecasting and Social Change, Foresight, Форсайт, and Asian Research Policy.
Tiago Santos Pereira
TIAGO SANTOS PEREIRA is Principal Researcher at the Centre for Social Studies of the University of Coimbra (CES), where he Co-Directs the Doctoral Programme on ‘Governance, Knowledge and Innovation’. He is also Associate Researcher of CoLABOR - Collaborative Laboratory for Work, Employment and Social Protection, where he leads the research group on Work, Employment and Technology. With a DPhil in Science and Technology Policy Studies, from SPRU, University of Sussex, his research, drawing on Science and Technology Studies (STS) and Innovation Studies, has focused on the policies and governance of science and technology and the modes of articulation of knowledge between public sector research, business, public decision making and society. He is Vice-Chair of the OECD Working Party on Technology and Innovation Policy (TIP), and is National Delegate to the OECD's Committee on Scientific and Technological Policy (CSTP). Between 2015 and 2018 he was Head of the Office for Studies and Strategy of FCT, the national research funding agency in Portugal.
Pranpreya Sriwannawit Lundberg
Pranpreya Sriwannawit Lundberg is a Policy Specialist at Office of National Higher Education, Science, Research and Innovation Policy Council (NXPO) in Bangkok, Thailand. She is an official contact point of Thailand for the Committee of Scientific and Technological Policy (CSTP) of OECD. She has also been on secondment as an Assistant to the Minister of Science and Technology and Minister of Higher Education, Science, Research and Innovation. Pranpreya has published several articles in academic journals and given lectures in both academic and industrial settings. She has supervised more than twenty students in the Master’s degree level within subjects ranging from industrial dynamics to innovation management. She has represented Thailand in a variety of international committees such as the OECD CSTP and the UN ESCAP CICTSTI. Pranpreya holds a Ph.D. in Industrial Economics and Management from KTH Royal Institute of Technology in Stockholm, Sweden. Her research analyses the diffusion of innovation, primarily on the use of renewable energy technologies to alleviate poverty. While doing her PhD, she was the first and the only PhD candidate who was invited and elected as a member of International Association for Management of Technology (IAMOT) Board of Directors.
David Howoldt
David Howoldt is a project manager at the Fraunhofer Institute for Systems and Innovation Research ISI in Karlsruhe, Germany. He holds a Master‘s degree in European Studies and was a PhD Fellow at the Department of Organization at Copenhagen Business School in Denmark from 2017 to 2021. In 2019 and 2020, he was a Trainee and a Policy Consultant at the OECD‘s Directorate for Science, Technology and Innovation in Paris, France. His main areas of work include quantitative-comparative studies of innovation policies in innovation systems, innovative entrepreneurship, and the application of natural language processing methods for empirical contributions to innovation studies.