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Economic Policy in Complex Environments

Project description

DEENESFRITPL

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

Programme(s)

Topic(s)

Call for proposal

H2020-MSCA-ITN-2020

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Funding Scheme

MSCA-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)

Coordinator

UNIVERSITAET BIELEFELD
Net EU contribution
€ 758 365,20
Address
UNIVERSITAETSSTRASSE 25
33615 Bielefeld
Germany

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Region
Nordrhein-Westfalen Detmold Bielefeld, Kreisfreie Stadt
Activity type
Higher or Secondary Education Establishments
Links
Total cost
€ 758 365,20

Participants (6)

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Last update: 7 January 2023

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Permalink: https://cordis.europa.eu/project/id/956107

European Union, 2024