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Testing transformative energy scenarios through causal layered analysis gaming

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  • Heinonen, Sirkka
  • Minkkinen, Matti
  • Karjalainen, Joni
  • Inayatullah, Sohail

Abstract

This paper presents the results of an innovative pilot experiment on elaborating transformative energy scenarios by using a causal layered analysis (CLA) game. CLA is an integrative and communicative method, which divides issues into four layers: litany, systemic causes, worldviews, and metaphors. In the piloted CLA game, four existing scenario drafts from the Neo-Carbon Energy project: “Radical Startups”, “Value-Driven Techemoths”, “Green DIY Engineers” and “New Consciousness” were used. The CLA game session, as depicted in this paper, worked through the CLA layers sequentially per each scenario, contributed new elements to the scenario narratives, and utilised roleplay for the worldview and metaphor layers. This CLA game highlighted the complexity, polyphony and actor dynamics of the future worlds. We identify four key benefits: developing the CLA game scenario methodology, gaming-based social learning, deepening of sociocultural energy scenario drafts and exploration of energy transformation toward renewable energy based futures. As a new type of CLA workshop, the game expanded the method's boundaries. Recommendations are presented for developing serious gaming further in scenario processes.

Suggested Citation

  • Heinonen, Sirkka & Minkkinen, Matti & Karjalainen, Joni & Inayatullah, Sohail, 2017. "Testing transformative energy scenarios through causal layered analysis gaming," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 101-113.
  • Handle: RePEc:eee:tefoso:v:124:y:2017:i:c:p:101-113
    DOI: 10.1016/j.techfore.2016.10.011
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    References listed on IDEAS

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    1. Dufva, Mikko & Ahlqvist, Toni, 2015. "Knowledge creation dynamics in foresight: A knowledge typology and exploratory method to analyse foresight workshops," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 251-268.
    2. Kenneth Gillingham & Matthew J. Kotchen & David S. Rapson & Gernot Wagner, 2013. "The rebound effect is overplayed," Nature, Nature, vol. 493(7433), pages 475-476, January.
    3. René Kemp, 2010. "The Dutch energy transition approach," International Economics and Economic Policy, Springer, vol. 7(2), pages 291-316, August.
    4. Evelina Trutnevyte & Céline Guivarch & Robert Lempert & Neil Strachan, 2016. "Reinvigorating the scenario technique to expand uncertainty consideration," Climatic Change, Springer, vol. 135(3), pages 373-379, April.
    5. Hong, Tao & Pinson, Pierre & Fan, Shu & Zareipour, Hamidreza & Troccoli, Alberto & Hyndman, Rob J., 2016. "Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond," International Journal of Forecasting, Elsevier, vol. 32(3), pages 896-913.
    6. Zhao, Rui & Zhou, Xiao & Han, Jiaojie & Liu, Chengliang, 2016. "For the sustainable performance of the carbon reduction labeling policies under an evolutionary game simulation," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 262-274.
    7. Wilkinson, Angela & Kupers, Roland & Mangalagiu, Diana, 2013. "How plausibility-based scenario practices are grappling with complexity to appreciate and address 21st century challenges," Technological Forecasting and Social Change, Elsevier, vol. 80(4), pages 699-710.
    8. Upham, Paul & Klapper, Rita & Carney, Sebastian, 2016. "Participatory energy scenario development as dramatic scripting: A structural narrative analysis," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 47-56.
    9. Andreescu, Liviu & Gheorghiu, Radu & Zulean, Marian & Curaj, Adrian, 2013. "Understanding normative foresight outcomes: Scenario development and the ‘veil of ignorance’ effect," Technological Forecasting and Social Change, Elsevier, vol. 80(4), pages 711-722.
    10. Wright, George & Bradfield, Ron & Cairns, George, 2013. "Does the intuitive logics method – and its recent enhancements – produce “effective” scenarios?," Technological Forecasting and Social Change, Elsevier, vol. 80(4), pages 631-642.
    11. Grubler, Arnulf, 2012. "Energy transitions research: Insights and cautionary tales," Energy Policy, Elsevier, vol. 50(C), pages 8-16.
    12. Cairns, George & Wright, George & Fairbrother, Peter, 2016. "Promoting articulated action from diverse stakeholders in response to public policy scenarios: A case analysis of the use of ‘scenario improvisation’ method," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 97-108.
    13. Cairns, George & Ahmed, Iftekhar & Mullett, Jane & Wright, George, 2013. "Scenario method and stakeholder engagement: Critical reflections on a climate change scenarios case study," Technological Forecasting and Social Change, Elsevier, vol. 80(1), pages 1-10.
    14. Nik Kinley & Shlomo Ben-Hur, 2015. "Changing Employee Behavior," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-137-44956-6.
    15. Tao Hong, 2014. "Energy Forecasting: Past, Present, and Future," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 32, pages 43-48, Winter.
    16. Breyer, Christian & Heinonen, Sirkka & Ruotsalainen, Juho, 2017. "New consciousness: A societal and energetic vision for rebalancing humankind within the limits of planet Earth," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 7-15.
    17. Staffan Jacobsson & Anna Bergek, 2004. "Transforming the energy sector: the evolution of technological systems in renewable energy technology," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 13(5), pages 815-849, October.
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