About

Objective: Develop a groundbreaking macroeconomic model that integrates Research & Innovation (R&I) with sustainable and equitable growth.
Scientific Outcome: Creation of the Twin R&D model, the first to represent both green and digital transitions using AI to characterize key technologies.
Societal Outcome: Enhanced policy insights for the European Commission (EC) on the economic and societal impacts of the Twin transition.
Target Groups: Scientists, policymakers, and industry decision-makers.
Scale: Provides new concepts for Twin transition modeling, benefiting the entire scientific community.
Significance: Introduces a new open-source model with comprehensive technological, sectoral, and spatial details.

Objective: Foster interdisciplinary research and innovative modeling of R&I policies in Europe.
Scientific Outcome: Brings together specialists to create a unique macroeconomic model addressing both green and digital transitions.
Societal Outcome: In-depth representation and analysis of the Twin transition’s impacts on jobs, inequalities, and resource consumption.
Target Groups: Scientific community, macroeconomic modelers, and policymakers.
Scale: Extends across various scientific disciplines and policy domains.
Significance: Provides comprehensive data and models for future interdisciplinary research.

Objective: Improve the measurement and understanding of R&I impacts on Europe’s economy. Scientific Outcome: Open access to new data, matrices, and models for better integration of R&I activities. Societal Outcome: Provides policymakers with improved tools for assessing the impacts of R&I on green and digital transitions. Target Groups: Scientific community and policymakers. Scale: Broad community of modelers and policymakers. Significance: Enhances policy assessments and provides new insights into the interplay of R&I and Twin transitions

Objective: Link R&I-related drivers to economic, scientific, and societal outcomes.
Scientific Outcome: Combines different specialties to propose a pioneering macroeconomic model.
Societal Outcome: Delivers elements for analyzing the Twin transition’s impacts on jobs, inequalities, and resource use.
Target Groups: Scientists, policymakers, and the scientific community.
Scale: Supports diverse scientific disciplines and policy areas.
Significance: Open-source data and models to spur future research and policy development.

Objective: Enhance models for evaluating R&I policies at different levels of intervention.
Scientific Outcome: Produces a globally applicable Twin R&D model with detailed insights into green and digital technologies.
Societal Outcome: Provides policymakers with refined tools for policy design and assessment.
Target Groups: Macroeconomic modelers, policymakers, civil society, and business leaders.
Scale: Extends the granularity of models to regional and national levels.
Significance: Expands capacity through linkage with other models to improve policy assessments.

Objective: Create a model that simulates the economy, including the R&I dimension, linking R&I to sustainable growth.
Scientific Outcome: A pioneering macroeconomic model representing both transitions.
Societal Outcome: Influences policy strategies for the EC.
Target Groups: Scientists, policymakers, industry leaders.
Scale: Innovative model with global relevance.
Significance: First of its kind, open-source model for the Twin transition.

Objective: Ensure accessibility to modeling ideas and data for the European scientific community.
Scientific Outcome: Open access to all data, matrices, scientific articles, and model codes.
Societal Outcome: Indirect societal benefits through the dissemination of research and policy insights.
Target Groups: Broad community of scientists and modelers.
Scale: Comprehensive data and tools available for re-use.
Significance: Facilitates future research and development in macroeconomic modeling.

Objective: Inform policymaking with robust, accessible evidence.
Scientific/Economic/Societal Impact: Demonstrates new ways of using scientific evidence to prioritize R&I investments.
Target Groups: R&I policymakers, business and social innovation leaders.
Scale: Global, EU, national, and regional policies.
Significance: Enhances knowledge for supporting R&I policy decisions.

Objective: Meet digital and green transition objectives and boost economic resilience and competitiveness.
Scientific/Economic/Societal Impact: Supports the EU’s digital and green strategies with strong scientific evidence.
Target Groups: Policymakers, industry decision-makers, unions, civil society organizations.
Scale: EU and global policy relevance.
Significance: Prepares responses to global policy trends and highlights synergies between green and digital transitions.