Project description
New methods for decision making in complex environments
Europe is dealing with a number of big issues that are complicated due to path dependency, irreversibility, systemic risk and (local) interaction of heterogeneous agents. Climate change and the design of Europe’s desired transition to a low-carbon economy are such issues. Policies to address these challenges should be based on empirical analyses and appropriate modelling methods. The EU-funded EPOC project is an innovative training network aiming to advance and apply pioneering computationally intensive methods for decision and policy analyses in the fields of climate change and innovation. Early-stage researchers will be trained in data science, network theory, agent-based simulation and economic modelling. The academic training will include transferable skills training measures, intersectoral training measures and career development training.
Objective
Many of the main current economic and societal challenges in Europe are characterised by complex dynamic patterns stemming from path dependency, irreversibility, systemic risk and (local) interaction of heterogeneous agents. Examples in this respect are the search for appropriate policies to mitigate climate change, to foster a transition to a low-carbon economy, or to govern the development, diffusion and economic implications of new technologies. Designing sound economic policy in such domains is challenging and should be informed by empirical analyses and modelling frameworks that are suitable for capturing the complexity of the (economic) environment. The Innovative Training Network EPOC aims at advancing the state-of-the-art and the applicability of computationally intensive methods for decision and policy analysis and at using these methods in the domains of climate change and innovation. This agenda will be pursued by combining an interdisciplinary research agenda with an innovative European joint doctoral training programme. Early Stage Researchers will gain expertise and skills in data science, network theory, agent-based simulation, and economic modelling, with focus on climate change and innovation, and will apply these skills in their individual research projects. The academic training will be complemented by Transferable Skills Training Measures, Inter-Sectoral Training Measures, provided by non-academic partners, and Career Development Training. Interaction with stakeholders, policy makers and the general public will play an important role in pursuing the EPOC agenda and disseminating the results. The EPOC consortium consists of seven leading European universities and ten partner organisations. Each Early Stage Researcher will be hosted by two universities, will have a secondment with a partner organisation, and will graduate with a double degree.
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.
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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.1.3.1. - Fostering new skills by means of excellent initial training of researchers
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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-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)
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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-ITN-2020
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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.
33615 Bielefeld
Germany
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.