Permanent record
RIR-2080 · Logged 13 July 2026
Analyzing Community Engagement Strategies in the Management of Contested National Monument Landscapes
National monuments often serve as sites of contested history, requiring careful management of diverse community narratives. This research investigates how inclusive engagement strategies can address conflicting perspectives in monument preservation.
In plain words
Some American national monuments carry history that different communities see very differently. Which ways of involving the public work best for handling these clashing stories when the sites are managed and preserved?
Primary research question
What community engagement strategies are most effective in managing contested historical narratives within American national monument landscapes?
Knowledge gap
What remains worth asking
It remains useful to test how participatory management models influence public perception and conflict resolution regarding contested monuments.
Potential contribution
Why it may matter
This research offers a framework for balancing diverse cultural memories in public space management.
Academic placement
Academic fields and topic tags
Study frame: Selected American national monuments · Method signals: Qualitative interviews, Stakeholder analysis
Possible study pathways
One question, different levels
Professional master’s / MBA
Public sector management and stakeholder engagement in heritage sites
Research master’s
Public history and the sociology of contested landscapes
- originality
- Moderate
- methodology
- Moderate
- Data access
- Moderate
- ethics
- Advanced
Quality and audit
80/100 quality
Safeguard-based audit was not recorded under the prior standard.
- The abstract was empty; direction inferred from the title and the journal's focus.
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Research Idea curation
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APA 7 source
Schoenfelder, C. (2024). This Contested Land: The Storied Past and Uncertain Future of America’s National Monuments. American Indian Culture and Research Journal, 47(2). https://doi.org/10.17953/a3.24886
Paper abstract and discussion context; AI-inferred direction
This is an AI-inferred direction. The source authors did not state it as a recommendation.
Open source ↗