Objective
Most of the developing countries are widely recognised to be vulnerable to climate risks. Climate-related disasters are already undermining record growth across the world, threatening hard-won gains and vulnerable populations’ lives and livelihoods; increasing climate volatility can only exacerbate this and counteract the investments being made by countries to mitigate, prepare for and manage current weather risks.
Amigo is currently working on an international funded project called eXtreme Climate Facility (XCF) and it is developing a specific multi-hazard Extreme Climate Index (ECI). This index would be based on meteorological data and designed to capture the severity and frequency of heat, drought, flood and other extreme weather events.
In order to create financial vehicles that tracks the frequency and magnitude of extreme climate shocks in developing countries and provides additional financing for countries already managing their current climate risks, it becomes necessary to develop specific methodologies to identify the changes in the frequency of extreme events as also requested by international organization and countries. With such instruments, the disbursement of climate adaptation funds to countries would be entirely data-driven over a 30 year, or some long term, adaptation period; if there are no significant increases in the frequency or magnitude of extreme weather events over current climatology, then no payments would be made. Where payments are made, countries would use those funds to invest in Disaster Risk Reduction (DRR) or climate change adaption measures specified in pre-defined country-level adaptation plans.
In this framework, the first level Objective of the project CaseXtreme is to identify a suitable metric for the Statistical Significance of Changes in the Statistics of Extremes (SSCSE) in order to provide the baseline for the design of innovative financial products and risk management tools.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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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.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.2.3.2.2. - Enhancing the innovation capacity of SMEs
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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.
CSA - Coordination and support action
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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-INNOSUP-2016-2017
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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.
00196 Roma
Italy
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.