Streamlining Environmental Impact Assessment complex networks to integrate new E...
Streamlining Environmental Impact Assessment complex networks to integrate new EU environmental policies
In response to climate change, the landmark Paris Agreement established a set of goals to achieve climate neutrality and limit global warming. To help investors and companies contribute to these goals, the EU adopted a taxonomy fo...
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31/08/2026
Líder desconocido
165K€
Presupuesto del proyecto: 165K€
Líder del proyecto
Líder desconocido
Fecha límite participación
Sin fecha límite de participación.
Financiación
concedida
El organismo HORIZON EUROPE notifico la concesión del proyecto
el día 2024-06-04
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Información proyecto NetDEAL
Duración del proyecto: 26 meses
Fecha Inicio: 2024-06-04
Fecha Fin: 2026-08-31
Líder del proyecto
Líder desconocido
Presupuesto del proyecto
165K€
Fecha límite de participación
Sin fecha límite de participación.
Descripción del proyecto
In response to climate change, the landmark Paris Agreement established a set of goals to achieve climate neutrality and limit global warming. To help investors and companies contribute to these goals, the EU adopted a taxonomy for sustainable activities, and in line with it, investments must not cause significant harm, as indicated by the Recovery and Resilience Facility Regulation. Since its inception, the Environmental Impact Assessment (EIA) procedure has aimed to minimize the impacts of projects that could significantly damage the environment. Certainly, there are recognized weaknesses in the EIA, but its fitness to address complex environmental challenges such as climate change is unmatched. Considering the EIA importance in ensuring the scaling up of sustainable energy-related investments, NetDEAL focuses on providing innovative and easy-to-use methods to improve EIA worldwide and combines policy analysis and EIA assessment data into complex networks. First, I will analyze models of impact assessment (IA) legislation that can make recommendations about how IA can change to fit the global effort to tackle the energy and resource crises. Second, I will expose best practice models and investigate, through network-related statistical analyses, the collaboration links established in each EIA stage, which are behind successful projects from the perspective of productivity, circular economy, adaptation to climate change and reaching the goal of zero net emissions. Third, using Exponential Random Graph Models, I will explore the dynamic interaction between EIA stakeholders to diagnose the organizational structures and factors that strongly influence these projects. Lastly, I will create an integrated multilayer framework to improve the EIA's effectiveness. The findings will be translated into the economic sector and provide new instruments to facilitate a streamlined EIA procedure that facilitates the adoption of urgent measures to mitigate the current energy crisis.