OECD-TIP Workshop - 8 December 2021

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    Please register for the virtual workshop by 3 December 2021 (CET) through this link: https://meetoecd1.zoom.us/meeting/register/tJclcOGhrz4rHNKKivayecKadKPXMyedHdSG

     

    The urgency of the COVID-19 pandemic saw an increased tolerance and opportunity to experiment with new tools – semantic analysis, machine learning, big data visualisation, and other digital technology-enabled instruments.  The challenges of the post-pandemic future – addressing the climate change emergency and the fallout of the pandemic to strengthening sectors of the economy against future crises – keep demands for effective and innovative policy solutions high on the agenda, particularly for innovation and technology.

    New tools have the potential to improve STI policy by providing more granular, timely and accurate information on the STI ecosystem. The continued development of digital technologies has expanded the feasibility of data collection, analysis and visualisation of data making it more affordable and accessible for STI policy. Better tools to gather information relevant to STI policy include possibilities to conduct pulse surveys and scraping information relevant to STI from online sources, such as public opinion on core technologies. Better tools for policy-relevant analysis include computerised semantic analysis to exploit qualitative data on policies and STI, and include machine-learning techniques to analyse big data.

     

    This workshop will review the applications of alternative digital tools in STI policy making, such as machine learning, semantic analysis, and big data visualisation. New approaches to STI policy making, such as systems transformation and co-creation, will be discussed in another workshop in 2022. The event is organised by OECD Working Party on Innovation and Technology Policy (TIP)jointly with the STIP Data Lab.

     

    This workshop follows on prior work done in the TIP@50, using semantic analysis to study the history of the TIP group, and the TIP workshop on semantic analysis for innovation policy in March 2018 that dealt with some of the practical considerations around one specific tool – semantic analysis – and provided evidence on the ways in which semantic analysis can be used in policy problems. It also builds on work conducted by the CSTP on “DSIP initiatives”, which refer to the adoption or implementation by public administrations of new or re-used procedures and infrastructures relying on the intensive use of digital technologies and data resources to support the formulation and delivery of science and innovation policy (see STI Outlook 2018 chapter). Moreover, the 2019 OECD Digital Economy Paper “Using digital technologies to improve the design and enforcement of public policies” laid out several of the key advantages of digital tools in policymaking: their ability to reshape existing policies, enable innovative policy design and rigorous impact evaluation, and expand citizen engagement in local and national policy making.

     

     

    Agenda

     

    12h00 (Paris time): Registration in Zoom

     

    12h30-12h55: Welcome and Introductory remarks

     

    Workshop Chair: Göran Marklund, Chair of the OECD Working Party on Innovation and Technology Policy, Deputy Director General and Head of Operational Development at VINNOVA

    • Welcome and introduction to the aims of  the workshop

     

    Alessandra Colecchia, Head of the Science and Technology Policy Division (DSTI/STP)

    • Introductory remarks, the workshop in  the context of CSTP broader work

     

    Caroline Paunov, Head of Secretariat, Working Party on Innovation and Technology Policy (TIP)

    • Introduce key outcomes of project
    • Why should new tools for STI policy-making be on the agenda for policymakers?

    Attendees will be asked to complete a short informational poll which will inform subsequent discussion.

     

    Session 1: Digital tools for STI policy making (12h55-14h10)

    The purpose of this session is to get a better understanding of the what practical opportunities for digital tools to support STI policy exist. This panel will focus on innovators who can discuss the ways in which technology developments have  enabled policy innovation.

    Questions:

     

    • Why is it important to use digital tools more in STI policy?

     

    • What areas are most promising for the application of these tools?

     

    • What are some specific applications of semantic analysis in analysing STI policy-related issues, and what are the advantages and challenges of those applications?

     

    Speakers:

    • Leonora Vesterbacka, Data Scientist, VINNOVA and Henrik Hermansson, Analyst , Agency for Growth Policy Evaluations and Analyses, Sweden
      • Adopting semantic analysis to improve grant instruments
    • François-Régis Chaumartin, VP Semantic Data Science, Dassault Systèmes, France
      • Synthesising public inputs to the "Grand Débat National" using semantic analysis
    • Hunter McGuire, Trainee, and Jan Einhoff, Consultant, TIP Secretariat
      • Studying transitions in national STI strategies using semantic analysis (part of the TIP Collaborative Transitions Project)
    • Gildas Ehrmann, Data Scientist, United Kingdom
      • Mapping and investigating shifts in STIP Compass policy initiatives using topic modelling
    • Dirk Meissner, Professor & Laboratory Head: Institute for Statistical Studies and Economics of Knowledge, National Research University Higher School of Economics, Russian Federation, and Margherita Russo, Professor, University of Modena and Reggio Emilia, Italy
      • Exploring shifts in STI policies following the COVID-19 crisis (part of the TIP Collaborative Transitions Project)

     

    14h10-14h20 Coffee break

     

    Keynote Address: Addressing STI policy challenges with digital tools (14h20-14h45)

    This keynote address will underline the enhanced role of digital tools in the context of changing STI policies. It will feature the various applications that are currently implemented or considered for digital tools in support of the design, implementation and monitoring of STI policies.

    Keynote speaker: Dominique Guellec, Scientific Advisor, Science and Technology Observatory, French High Council for Evaluation of Research and Higher Education, France

     

    Session 2. Embracing digital tools in today’s STI policy-making (14h45-15h30)

    Attendees will be asked to complete a short informational poll which will inform subsequent discussion.

    The purpose of this session is to better understand the ways in which STI policy makers see the future evolving. It will be forward-looking and will seek to identify the use cases of the digital tools discussed in the first panel.

    Questions:

     

    • What practical steps can be taken – or are being taken – for STI policy makers to use digital tools more in the next five years?

     

    • What are the biggest gaps in the capacities, internal and external, facing STI policy makers, and what could the role of the private sector be?

     

    • How could, and are, STI policy approaches be designed to support the use of such tools? Possible examples of such approaches include collaborations and pilot projects.

     

    Speakers:

    • Kazuyuki Motohashi, Professor, Research Center of Advanced Science and Technology; Head of Department of Advanced Interdisciplinary Studies, Graduate; University of Tokyo, Japan
    • Jaimie Boyd, Partner, National Digital Government Leader and Nihar Dalmia, Partner, National Government and Public Services Industry for AI, Deloitte Canada
    • Eoghan O’Neill, DG Connect, European Commission

     

    Closing remarks (15h30-15h45)

    Attendees will be asked to complete a final poll reflecting on the results of the workshop and revisiting some of the questions posed earlier, to observe if opinions have shifted.

    Summary and closing remarks will be given.

    This workshop will review the applications of alternative digital tools in STI policy making, such as machine learning, semantic analysis, and big data visualisation. New approaches to STI policy making, such as systems transformation and co-creation, will be discussed in another workshop in 2022. The event is organised by OECD Working Party on Innovation and Technology Policy (TIP)jointly with the STIP Data Lab.