Advertisement

The Energy Transition Game: Experiences and Ways Forward

  • Wander Jager
  • Geeske Scholz
  • Reńe Mellema
  • Setsuya Kurahashi
Chapter
Part of the Agent-Based Social Systems book series (ABSS, volume 12)

Abstract

We discuss our experiences with the energy transition game (ETG) in Groningen, Tokyo, and Osnabrück, all in educational settings. The ETG is an agent-based game in which roles that can be played are energy companies and political parties. A unique aspect is the inclusion of an artificial population of simulated people. In the ETG the simulated consumers choose an energy provider based on price, safety, and greenness, and they vote for a political party in the government. In this paper, we share the experiences we had with playing ETG with first-year bachelor students at the University of Groningen (The Netherlands), with young professionals from the energy sector at the University of Tsukuba (Japan), and in a mixed seminar for master and bachelor students with diverse interdisciplinary backgrounds at the University of Osnabrück (Germany). The experiences we share with the game suggest that the ETG can be used and developed in different directions: a short introduction of the complexities of the energy transition, courses or projects in which students become codevelopers and try to improve the ETG, or as basis for further extensions and testing of specific hypotheses. We consider a common platform for different versions a sensible next step, including a version control, description of different implementations, and game dynamics.

References

  1. Jager W (2000) Modelling consumer behaviour. Thesis behavioural and social sciences, University of GroningenGoogle Scholar
  2. Jager W, van der Vegt G (2015) Management of complex systems: towards agent based gaming for policy. In: Janssen M, Wimmer MA, Deljoo A (eds) Policy practice and digital science: integrating complex systems, social simulation and public administration in policy research. Springer (Public Administration and Information Technology), Cham, pp 57–73CrossRefGoogle Scholar
  3. Kurahashi S, Saito M (2013) Informative and normative effects using a selective advertisement. SICE J Control Meas Syst Integr 6(2):76–82CrossRefGoogle Scholar
  4. Toivonen R, Onnela J, Saramaki J, Hyvonen J, Kaski K (2006) A model for social networks. Physica A 371:851–860CrossRefGoogle Scholar
  5. Verhagen H, Johansson M, Jager W (2016) Games and online research methods. In Fielding N, Lee R, Blank G (eds) The SAGE handbook of online research methods. SAGE, Los AngelesGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Wander Jager
    • 1
  • Geeske Scholz
    • 2
  • Reńe Mellema
    • 3
  • Setsuya Kurahashi
    • 4
  1. 1.University College GroningenGroningenThe Netherlands
  2. 2.University of OsnabrückOsnabrückGermany
  3. 3.University of GroningenGroningenThe Netherlands
  4. 4.University of TsukubaTokyoJapan

Personalised recommendations