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Research

The key aspects of our research and teaching interests lie in the areas of Big Data Analytics, Computer Science, Economics, Information Systems, Sustainability, and Machine Learning. Our work revolves around the question of how information systems can be designed to address sustainability challenges in Society. Topics include:

  • Analysis and Design of Multi-echelon Markets
  • Behavioral Economics
  • Competitive Benchmarking of Sustainability Strategies
  • Smart (Energy) Markets
  • Simulation of Markets and Society
  • Sustainable Business Models


Examples include:

  • Power TAC - Competitive Benchmarking
  • Cassandra - Smart Grid Stakeholder Simulation
  • Dutch Flower Auctions
  • Market-based Electric Vehicle charging coordination
  • Autonomous Agents and Vehicles in Smart Cities
  • Electric Vehicle fleet management
  • Impact of high penetration of renewable energy on electricity markets
  • Bidding strategies for renewable energy in electricity markets
  • Industrial and residential energy cooperatives
  • Tackling the intermittency challenges of renewable energy


The research has been published or is forthcoming in leading academic journals such as Management Science, Information Systems Research (ISR), Management Information Systems Quarterly (MISQ), as well as in practice-oriented journals.

We offer courses on undergraduate, graduate, and executive levels.