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Overview
Current research at the faculty comprises of a number of individual research projects and several research focuses. An analytical-quantitative approach characterises the majority of these projects. Among the established focuses of research is computational economics. Robust decision making under uncertainty is another established focus mainly carried by the Centre for Mathematical Economics (IMW). The research on distribution, inequality and heterogeneity that is oriented to both social theory and economic policy is a faculty tradition.
However, the faculty has been exceptionally successful and innovative in these areas, which is reflected in its publication output and successful bids for third-party funding (including DFG, EU, ZIF) and makes them important research focuses of the faculty.
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Research Areas
Research Groups
- Bielefeld 2000plus
- Bielefeld Center for Data Science (BiCDaS)
- Economic Policy in Complex Environments (EPOC)
- Innovative Training Network ExSIDE
- Institut für Familienunternehmen (iFUn)
- Institute for Technological Innovation, Market Development and Entrepreneurship (iTIME)
- Institut für Unternehmungsführung an der Universität Bielefeld e. V. (IUUB)
- Value of Information (VoI)
- Westerfelhaus-Stiftung
- Zentrum für Statistik
Research Projects
- Data-driven Indication of Match Fixing in Live Betting (DFG-Projekt 431536450)
- Estimation and inference theory for (co)integrated processes in the state space representation (DFG-Projekt 276051388)
- GROWINPRO – Growth Welfare Innovation Productivity
- Innovation dynamics under market uncertainty and financial constraints (Projekt des SFB 1283)
- Informationen, Fake News, und soziale Netzwerke (DFG-Projekt via grant FO 1272/2-1)
- itsowl VorZug
- Marie Skłodowska-Curie - Innovative Training Network EPOC (Economic Policy in Complex Environments)
- Marie Skłodowska-Curie - Innovative Training Network ‘Expectations and Social Influence Dynamics in Economics’ (ExSIDE)
- Statistical inference on niche choices based on behavioural time series data (D06) (DFG-Project 316099922)
- The Role of Professional Networks and Firm Hierarchies for Individual Careers and Wage Inequality (DFG-Projekt 333359625)
- Use of composite likelihood methods for the estimation of probit models (DFG-Projekt 356500581)
Graduate School and Doctorate
- Doctorate at the faculty (in German)
- Bielefeld Graduate School of Economics and Management (BiGSEM)
- Marie-Skłodowska Curie Innovative Training Network Expectations and Social Influence Dynamics in Economics (ExSIDE)
- Marie-Skłodowska-Curie Innovative Training Network Economic Policy in Complex Environments (EPOC)
© Universität Bielefeld