Back to search

COMBEX - EMJM "Computational and Behavioural Approaches to Policy Design and Evaluation in Complex Economies"

1010817912022Erasmus Mundus Design Measuresfinalized
Countries: DE · Grant: €55,000

Project summary

Our primary objective is to set up a Erasmus Mundus Joint Master (EMJM) Programme of the highest-quality that will offer students an innovative and unique curriculum bringing together computational sciences and economics with a special focus on the complexity of today’s world. The envisioned EMJM “Computational and Behavioural Approaches to Policy Design and Evaluation in Complex Economies” (COMBEX) will be carried out by four high-quality European Universities: The University of Bamberg in Germany (as the coordinating institution), the University Jaume I in Castellón, Spain, the Polytechnic University delle Marche in Ancona, Italy, and the Warsaw School of Economics in Poland. These four Full Partner Higher Education Institutions have an outstanding research record and the potential administrative infrastructure for the successful implementation of the EMJM Programme COMBEX. The rationale for our envisioned Joint Master Programme is the fact that the today’s world requires professionals with a solid understanding of complex interactions based on an academic training centred around computational and behavioural approaches to economics. The overwhelming majority of programmes at the Master level offer a curriculum including macroeconomic and economic policy issues, based on theories that downplay to a significant extent the role of heterogeneity of and complex interactions between economic agents. Against this background, our objective is to develop a Joint Master Programme in Economics with a more holistic curriculum based on theoretical approaches where complex interactions and dynamics are studied instead carefully through a variety of methods such as agent-based modelling, experiments and state-of-the-art statistical techniques. By including specifically defined courses on e.g. network theory and/or machine learning, for example, students will acquire already in the first year key skills and competences needed for specialized courses on agent-based modelling.

Final report summary

Our primary objective is to set up a Erasmus Mundus Joint Master (EMJM) Programme of the highest-quality that will offer students an innovative and unique curriculum bringing together computational sciences and economics with a special focus on the complexity of today’s world. The envisioned EMJM “Computational and Behavioural Approaches to Policy Design and Evaluation in Complex Economies” (COMBEX) will be carried out by four high-quality European Universities: The University of Bamberg in Germany (as the coordinating institution), the University Jaume I in Castellón, Spain, the Polytechnic University delle Marche in Ancona, Italy, and the Warsaw School of Economics in Poland. These four Full Partner Higher Education Institutions have an outstanding research record and the potential administrative infrastructure for the successful implementation of the EMJM Programme COMBEX. The rationale for our envisioned Joint Master Programme is the fact that the today’s world requires professionals with a solid understanding of complex interactions based on an academic training centred around computational and behavioural approaches to economics. The overwhelming majority of programmes at the Master level offer a curriculum including macroeconomic and economic policy issues, based on theories that downplay to a significant extent the role of heterogeneity of and complex interactions between economic agents. Against this background, our objective is to develop a Joint Master Programme in Economics with a more holistic curriculum based on theoretical approaches where complex interactions and dynamics are studied instead carefully through a variety of methods such as agent-based modelling, experiments and state-of-the-art statistical techniques. By including specifically defined courses on e.g. network theory and/or machine learning, for example, students will acquire already in the first year key skills and competences needed for specialized courses on agent-based modelling.

Project partners (1)