SOURCE-LINKED INTELLIGENCE

Redirect Innovation to foster Positive tipping Points and prevent Lock-ins in the clean Energy transition.

CORDIS · observation · Publication date unknown

and fragile international dependencies. Third, the project elaborates on new ways of identifying early signals of positive tipping and generating policies that respond to those signals. Interpretable machine learning is used to turn noisy techno-economic data into actionable green energy tipping interventions, while exploratory modelling highlights the trade-offs between costs, speed, feasibility, fairness and robustness to uncertainties. The ultimate outcome is the first quantitative integrated framework to understand how to redirect innovation for the green economy to tip before the climate does. Coupled climate-energy-economic modelling, Integrated assessment modelling, Socio-technical tipping points, Technological innovation, Clean energy transition pathways, Feasibility analysis, Exploratory modelling, Adaptive policymaking

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recordType

award

status

SIGNED

region

EU

value

1496994

unit

EUR