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Emily Boyd

Emily Boyd

Professor, Director, Docent

Emily Boyd

Using a Game to Engage Stakeholders in Extreme Event Attribution Science


  • Hannah R. Parker
  • Rosalind J. Cornforth
  • Pablo Suarez
  • Myles R. Allen
  • Emily Boyd
  • Rachel James
  • Richard G. Jones
  • Friederike E L Otto
  • Peter Walton

Summary, in English

The impacts of weather and climate-related disasters are increasing, and climate change can exacerbate many disasters. Effectively communicating climate risk and integrating science into policy requires scientists and stakeholders to work together. But dialogue between scientists and policymakers can be challenging given the inherently multidimensional nature of the issues at stake when managing climate risks. Building on the growing use of serious games to create dialogue between stakeholders, we present a new game for policymakers called Climate Attribution Under Loss and Damage: Risking, Observing, Negotiating (CAULDRON). CAULDRON aims to communicate understanding of the science attributing extreme events to climate change in a memorable and compelling way, and create space for dialogue around policy decisions addressing changing risks and loss and damage from climate change. We describe the process of developing CAULDRON, and draw on observations of players and their feedback to demonstrate its potential to facilitate the interpretation of probabilistic climate information and the understanding of its relevance to informing policy. Scientists looking to engage with stakeholders can learn valuable lessons in adopting similar innovative approaches. The suitability of games depends on the policy context but, if used appropriately, experiential learning can drive coproduced understanding and meaningful dialogue.


  • LUCSUS (Lund University Centre for Sustainability Studies)

Publishing year







International Journal of Disaster Risk Science





Document type

Journal article


Springer Open


  • Climate Research


  • Climate change
  • Extreme event attribution
  • Loss and damage policy
  • Participatory games
  • Probabilistic event attribution (PEA)
  • Risk management




  • ISSN: 2095-0055