Objective
Social and scientific concern about jellyfish (JF) blooms has risen over the past decades. This concern is reflected on the number of reports on JF; since 1941 the number of scientific publications on JF has doubled each decade, whilst news reports have increased by over 500% over the past two decades. Aggregations of JF can cause multitude of problems for different sectors of society; including the fishing industry and tourism. There is no doubt that the combination of a growing human population and the increasing use of the marine environment will lead to higher encounter rates between JF and humans. To add to the concern, there has been a heated scientific debate on whether JF populations might be on the rise. However, regardless of whether JF populations are increasing, there are no easy solutions to manage all the problems associated with JF blooms. Therefore, there is an urgent need to focus research objectives towards understanding the potential of a suite of management strategies to tackle current impacts of JF over ecosystem services. There are many existing strategies for managing JF blooms however, these are mostly economically expensive and thus, there is a need to evaluate whether the costs of implementing particular management policies will offset the costs of JF impacts. In order to device cost-effective management strategies, a focus on the interdisciplinary nature of JF impacts that includes ecological, social and economic aspects such as the associated loss of people’s wellbeing is of critical importance. Unfortunately, there is a knowledge gap on the socioeconomic impacts of JF and estimates are sparse and qualitative. The project proposed here has the overall goal to further the knowledge of the existing interactions between jellyfish and society by assessing the economic and social impacts stemming from their presence and the integration of this newfound knowledge into adaptive management policies.
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.
- agricultural sciences agriculture, forestry, and fisheries fisheries
- natural sciences biological sciences ecology ecosystems
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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-2014
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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.
28006 MADRID
Spain
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.