Introduction
There is mounting interest in innovation policy approaches that can lead to transformative societal outcomes which include rapid economic development, environmental sustainability and an inclusive society. These theoretical developments have inspired widespread experimentation by policy practitioners. However, the growing popularity of transformative innovation policy has not yet been matched with suitable developments in measurement and evaluation frameworks and tools. Existing tools for measuring, modelling and evaluating innovation policy inputs and outcomes are unable to capture crucial features of transformative innovation policy, including synergies, tipping points, multi-level interactions, sequencing and rebound effects.
System Dynamics for System Innovation aims to build the knowledge base for the conceptualisation, measurement, modelling and evaluation of system innovation. In its present phase the project focuses on the construction of a first prototype model (POLYTRoPOS - POLYvalent model for the ex ante evaluation of TRansformative POlicy Scenarios) and on its validation with experts.
Objectives
The project’s key objectives in this exploratory first stage are to:
- Develop a working prototype quantitative system dynamics model with policy applications in demand-led industrial transitions (e.g. in energy & mobility; agri-food; security & space) that demonstrates feasibility and usefulness;
- Contribute to the definition of design specifications for a fuller and more rigorous model of the system dynamics of transformative socio-economic change.
To achieve these objectives the JRC facilitates a co-creation process that brings together:
- Pioneer policy practitioners, as the final users of policy evaluations
- JRC researchers and other experts on the measurement of policy inputs and outcomes, system dynamics models, new industrial policies and transformative innovation policy.
Partners
The JRC facilitates a Working Group on System Dynamics for System Innovation with external partners that brings together researchers, system stakeholders and policy practitioners. The Working Group provides a space for learning from the state of the art on system dynamics for innovation, provides substantive input and critical feedback to the development of the prototype model, opens up possibilities for collaboration and nurtures an incipient community of policy users.
To shape the evolution of the project, the JRC maintains an Advisory Board of internationally recognised experts and distinguished practitioners in their respective fields:
Antonio Andreoni, SOAS, University of London (IT/UK) | Bianca Cavicchi, European Commission, DG Research and Innovation (BE) |
Fabienne Corvers, European Commission, Secretariat-General (BE) | Pål Ingebrigt Davidsen, University of Bergen (NO) |
Tatiana Fernandez, Generalitat de Catalunya (ES) | Luis Goñi (ES) |
Ian Hughes, MaREI Centre, Environmental Research Institute, University College Cork (IE) | Lois Lambrianidis, University of Macedonia (GR) |
Carolina Resende Haddad, OECD/STI (FR) | Edurne Magro, Orkestra, University of Deusto (ES) |
Göran Marklund, VINNOVA (SE) | Mariana Mirabile, OECD/ENV (FR) |
Erika K. Palmer, Cornell University (US) | Wolfgang Polt, Joanneum Research (AT) |
Slavo Radosevic, University College London (UK/HR) | Christian Saublens (BE) |
Thomas Scherngell, Austrian Institute of Technology (AT) | Sylvia Schwaag Serger, University of Lund (SE/DE) |
Steve Smith, University of Exeter (UK) | Luc Soete, Maastricht University (BE/NL) |
Mauricio Uriona, Universidade Federal de Santa Catarina (BR) | Elvira Uyarra, University of Manchester (UK/ES) |
Nuno Videira, CENCE (PT) | David Wheat, University of Bergen (NO) |
Matthias Weber, Austrian Institute of Technology (AT) |
Key outputs
A prototype model illustrating key concepts and applications (possible application domains to explore include: energy and transport; agri-food; security and space) will be developed along the course of the project. The steps to the development of the prototype model involve the construction of core model functions based primarily on insights from theoretical and empirical literature, experts consultations and the codification of causal loop diagrams, custom measurements of relevant parameters (e.g .technology diffusion and production capabilities), measurements of policy interventions and the set-up of a quantitative SD computer simulation model suitable for assessing policy scenarios.
The process and outcomes will be documented in a JRC Scientific and Technical Report and other publications.
Lessons from the exploratory project will inform the future development of measurement and evaluation tools in the JRC, which may include a more fully-fledged and versatile SD model.
- General publications
- Joint Research Centre
JRC Technical report introducing a POLYvalent system dynamics model for the ex ante evaluation of TRansformative POlicy Scenarios (POLYTRoPOS).
Working Group Meetings
The aim of the first meeting of the Working Group will be to introduce the JRC project on system dynamics, obtain feedback from experts and policy practitioners, and provide a space for collective learning, reflection, and co-creation around systems thinking, measurement and modelling.
The aim of the second meeting of the Working Group is to present and discuss an early version of the POLYTRoPOS (POLYvalent model for the ex ante evaluation of TRansformative Policy Scenarios) System Dynamics model by the JRC, applied to the case of renewable energy in the EU27 and to the twin challenge of effective deployment and production capability development through innovation.
The aim of the third meeting of the Working Group is to present, discuss and validate an early working version of the POLYTRoPOS (POLYvalent model for the ex ante evaluation of TRansformative Policy Scenarios) System Dynamics model by the JRC, applied to the case of renewable energy in the EU27. In its current form the model is suitable for the exploration of policy scenarios that seek to couple the effective deployment of renewables in Europe with the parallel development of domestic production capabilities in associated value chains (e.g. for renewables, batteries, electric vehicles etc.) through innovation