
The GREAT (Games Realising Effective and Affective Transformation) project explores new approaches that foster climate change discussion and stimulate citizen reflection. However, some citizens have limited resources for participation, even though their engagement and contributions are crucial. To address this challenge, the authors present two studies that have deployed mini data sprints (MDS). The MDS approach uses interactive data applications and visualisations to provoke citizens’ feelings, knowledge, and perspectives towards the climate conversation and presented data. These studies highlight how the MDS approach can provide data set recommendations, facilitate efficient and focused climate conversation, and improve the data literacy of the cohort.
Mini data sprints, Qualitative data, Data validation, Individual perspectives, Social innovation, Quantitative data, GREAT project, Participant reflection, Climate topics, Climate conversation, Climate change indicators, Citizen engagement, Collaborative data analysis, Climate education, Data validity, Creative technologies, Climate change discussions, Data sprint methodology, Survey results, Pilot study
Mini data sprints, Qualitative data, Data validation, Individual perspectives, Social innovation, Quantitative data, GREAT project, Participant reflection, Climate topics, Climate conversation, Climate change indicators, Citizen engagement, Collaborative data analysis, Climate education, Data validity, Creative technologies, Climate change discussions, Data sprint methodology, Survey results, Pilot study
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