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AI tools for qualitative analysis of youth climate interventions
The primary challenge for researchers and practitioners is understanding what adolescent-led or adolescent-involving interventions actually do and why they work. The primary keyword for this post is qualitative analysis of youth climate interventions, aimed at qualitative researchers, public health teams, and funders who must turn heterogeneous texts and grey literature into actionable theory. According to Deivanayagam et al. in PLOS ONE (published 13 August 2026), the protocol for a realist review will map interventions involving adolescents that counter fossil fuel industry practices and assess how those interventions can reduce health inequities. Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents. This post shows how to convert the PLOS ONE realist review protocol into reproducible qualitative workflows using AI-enabled tools, including concrete dates, sample numbers, and citation-ready quotes from the source.
In this article
- Key Takeaways
- What happened and how the protocol works
- Findings snapshot
- Implications for qualitative researchers and public health teams
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