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Permanent record · RIR–3004

Evaluating Participatory Frameworks for Enhancing Stakeholder Inclusivity in Environmental Ecosystem Scenario Projects

This study introduces a participatory framework designed to improve stakeholder engagement and reflexivity in ecosystem scenario building. It proposes that this framework be tested and evaluated across ongoing transdisciplinary environmental projects.

Open to researchQualified 80/100P4 provenance
Primary research question

How does the application of a participatory framework influence the quality of stakeholder knowledge inclusivity in ecosystem scenario projects?

Knowledge gap

What remains worth asking

It remains useful to test the framework's effectiveness in diverse, real-world transdisciplinary settings to refine its adaptive design.

Potential contribution

Why it may matter

Improved participatory processes can lead to more robust and socially accepted environmental management strategies.

Academic placement

OECD fields and topic tags

Futures StudiesEnvironmental ScienceSociology

Scope: Transdisciplinary ecosystem assessment projects · Method signals: Action Research, Qualitative Evaluation, Transdisciplinary Case Study

Possible study pathways

One question, different levels

Research master’s

Participatory research design in environmental studies

Doctoral

Advanced transdisciplinary foresight and ecosystem governance

originalityModerate
methodologyModerate
Data accessModerate
ethicsModerate

Qualification signal

80/100

  • The authors explicitly call for testing and evaluation of the framework.
  • Open-access scholarly source and DOI metadata verified

Provenance

Research Idea Registry curation

  • DOI and bibliographic metadata independently resolved
  • Open-access status verified
  • The research direction is transparently marked as AI-inferred
The public contributor code contains no name or account email.

APA 7 source

Weh, L. (2025). A Participatory Scenario Framework Advances Ecosystem Scenarios as Environmental Futures Approach. FUTURES & FORESIGHT SCIENCE, 7(2), Article e70005. https://doi.org/10.1002/ffo2.70005

Paper abstract and discussion context; AI-inferred direction

Open source ↗