Objective
Although the EU is on track to achieve the climate targets of “20-20-20”, there is an ongoing debate over whether a more aggressive emission reduction goal is needed to be set for 2030. The root cause of such debate is not only the lack of scientific understanding of climate change but also severe uncertainties about the pace of change and the extent to which it impacts human and natural systems. The policy implications of climate change uncertainty depend on the proper treatment of uncertainty in integrated assessment models (IAM) of climate change. There have been several attempts to incorporate uncertainty in standard IAM frameworks but the results vary widely across the models. This is in particular important for implementing effective mitigation and adaptation strategies within the EU which require a great deal of coordination among the member states with different levels of economic development and political incentives. The objective of this research is to develop a framework for robust climate policy making under uncertainty. During the first stage of this project I will conduct a through survey of current treatment of uncertainty in standard IAMs to obtain the best practices. In the second stage, I will develop a unifying framework for analyzing decision making under uncertainty in the context of climate change. I will adopt a robust optimization approach to assess climate targets and the optimal pathway to achieve those objectives. This theoretical framework then will be applied to the current and future EU climate targets and the results will be illustrated for climate policy making in Italy as a key Member State.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences physical sciences astronomy planetary sciences planets
- natural sciences earth and related environmental sciences atmospheric sciences climatology climatic changes
- social sciences sociology demography human migrations
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-ST - Standard EF
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2015
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
20123 Milano
Italy
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.