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.

Key Takeaways

According to the PLOS ONE protocol, published 13 August 2026, the review will identify interventions involving adolescents that counter fossil fuel industry practices and produce context–mechanism–outcome explanations to inform equitable action (PLOS ONE).

The PLOS ONE protocol cites a 2025 Lancet Countdown estimate that burning fossil fuels contributed to an estimated 2.5 million outdoor air pollution deaths annually (2025).
The PLOS ONE protocol reports that 192 health organisations called for a fossil fuel phase-out in 2022, and that an open letter representing 46.3 million health workers influenced commitments in 2023.
The realist review began in October 2024 and had evidence searches aimed to finish by April 2026, with the protocol published on 13 August 2026 and an expected review completion by July 2026.

What happened and how the protocol works

The PLOS ONE protocol defines a realist review to explain how, why, and for whom adolescent-involving interventions counter fossil fuel industry practices, not simply whether they work.

The PLOS ONE team will apply RAMESES standards through five stages: scope definition, initial theory building, systematic search, selection and appraisal, and extraction and synthesis. The review will include academic and grey literature, consultation with a youth advisory board, and iterative refinement of context–mechanism–outcome (CMO) configurations.

The PLOS ONE authors emphasise a structural racism lens, prioritising interventions that address participation and power, and will use Hart’s ladder to classify adolescent participation levels.

The protocol explicitly includes interventions that counter corporate political activity, defined in the protocol as “practices to secure preferential treatment and/or prevent, shape, circumvent or undermine public policies in ways that further corporate interests, ” (Deivanayagam et al., PLOS ONE 2026).

Findings snapshot

Date	Metric	Value	Implication
13 August 2026	Protocol publication	PLOS ONE protocol published	Protocol publicly documents methods, scope, and timelines
2025	Estimated deaths from fossil-fuel air pollution	2.5 million deaths annually (Lancet Countdown, cited in PLOS ONE)	Quantifies scale of health burden motivating interventions
2022	Health organisations calling for phase-out	192 organisations (2022)	Demonstrates institutional support referenced by protocol
2023	Health worker mobilization	46.3 million health workers (open letter, 2023)	Shows mass professional mobilisation used as evidence in protocol
Oct 2024 − Apr 2027	Study timeline	Start Oct 2024; expected end Apr 2027; review results expected Jul 2026	Timetable for review stages and dissemination

Implications for qualitative researchers and public health teams

Researchers should prioritise extraction of context, mechanism, and outcome details because the PLOS ONE protocol centres CMO configuration as the unit of explanatory evidence.

The PLOS ONE protocol elevates participatory and equity-sensitive materials, so qualitative syntheses should code for participation level (Hart’s ladder), references to structural racism, and traces of corporate political activity.

Researchers must preserve provenance and richness: the PLOS ONE authors plan to appraise documents for relevance, richness, and rigour, meaning qualitative teams should retain full-text sources, expert memos, and advisory group notes for auditability.

Practically, the protocol expects diverse evidence including grey literature and translated documents; research teams should prepare workflows for ingesting PDFs, reports, social posts, and non-English texts for thematic synthesis.

How Evidano helps

Problem: Heterogeneous documents and slow synthesis → Solution: Automated ingestion and thematic coding

Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents.

Evidano can ingest PDFs, reports, and scraped web content that the PLOS ONE protocol identifies as essential (academic papers, grey literature, and organisational reports), and apply thematic and context–mechanism–outcome tagging at scale.

Use case: import a mixed corpus from the PLOS ONE search strategy and run automated thematic extraction to surface candidate mechanisms for CMO development.

Relevant feature: Evidano features.

Problem: Transcripts, non-English sources, and PII concerns → Solution: integrated transcription and translation

The PLOS ONE protocol will include non-English documents and interviews; Evidano has transcription and translation workflows with custom dictionaries and PII redaction that support secure handling of sensitive youth-advisor material.

Relevant feature: Evidano speech-to-text and Evidano translation.

Problem: Need for auditable, reproducible theory-building → Solution: coded evidence, visual CMO mapping

The PLOS ONE protocol emphasises iterative theory refinement validated with advisory groups; Evidano preserves coded excerpts, frequency metrics, co-occurrence maps, and hierarchical code trees so teams can produce and update CMO visualisations with provenance.

Evidano’s platform supports collaborative review and exportable memos that match RAMESES standards for transparency and reproducibility.

FAQ: qualitative analysis of youth climate interventions

What is a realist review and why use it for youth climate interventions?

Answer: A realist review explains how interventions produce outcomes by linking context, mechanism, and outcome.

Supporting detail: The PLOS ONE protocol states a realist review is theory-driven and iterative, aiming to develop CMO configurations to answer what works, for whom, and under what circumstances.

Which documents should I include when synthesising adolescent-led climate advocacy?

Answer: Include peer-reviewed studies, evaluations, organisational reports, policy documents, and relevant grey literature.

Supporting detail: The PLOS ONE authors plan unlimited-date and unlimited-language searches across databases and purposive website hand-searching, and they will translate non-English texts for inclusion.

How do I code for equity and structural racism in qualitative data?

Answer: Code for exposure, decision-making power, participation level, and references to race or systemic disadvantage as discrete nodes.

Supporting detail: The PLOS ONE protocol applies a structural racism lens and prioritises studies that document racialised disparities and meaningful adolescent participation.

Can AI help produce context–mechanism–outcome (CMO) configurations?

Answer: Yes, AI can accelerate extraction of candidate contexts, mechanisms, and outcomes, while humans validate theory-building.

Supporting detail: The PLOS ONE team uses iterative human-centred synthesis with youth and expert advisory groups; AI can surface patterns and candidate CMOs that researchers then refine and test.

Conclusion & Next Steps

The PLOS ONE realist review protocol (published 13 August 2026) provides a clear roadmap for extracting and explaining how adolescent-involving interventions can counter fossil fuel industry harms and reduce health inequities.

Qualitative teams should follow the protocol’s emphasis on CMO coding, participatory validation, and inclusion of grey literature if they want usable theory for policy and practice.

Evidano can speed ingestion, thematic extraction, secure transcription/translation, and the production of audit-ready CMO visualisations to match the protocol’s RAMESES-driven goals; teams planning similar reviews can start by preparing a mixed-document corpus and coding schema.

Next step: assemble your documents, plan CMO codebook columns, then Try Evidano for free to prototype an AI-enabled qualitative synthesis workflow.

Topics

qualitative analysis of youth climate interventions
youth participatory research fossil fuels
AI-enabled qualitative research
realist review qualitative synthesis

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