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RIR-2088 · Logged 13 July 2026

Integrating Indigenous Traditional Knowledge into Submerged Archaeological Site Mapping and Interpretation

This research reviews technological advancements in submerged archaeology within the Great Lakes basin over two decades. It proposes a study to formalize the integration of Indigenous traditional knowledge into the interpretation of inundated landscapes.

Open to researchQuality 88/100Prior-standard auditP4 provenance
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In plain words

Many old sites in the Great Lakes basin now lie under water. How could the knowledge held by Indigenous communities help archaeologists make better sense of these drowned places, and lead to fairer work with those communities?

Primary research question

How can Indigenous traditional knowledge improve the interpretation of submerged archaeological sites in the Great Lakes?

Knowledge gap

What remains worth asking

It remains useful to test how collaborative frameworks can better synthesize technological data with traditional ecological knowledge.

Potential contribution

Why it may matter

This research will enhance the robustness of archaeological interpretations and support more equitable engagement with Indigenous communities.

Academic placement

Academic fields and topic tags

ArchaeologyIndigenous StudiesEnvironmental Science

Study frame: Submerged archaeological sites within the Great Lakes basin. · Method signals: Collaborative ethnography, Geospatial mapping, Comparative analysis

Possible study pathways

One question, different levels

Research master’s

Archaeological theory and community engagement

Doctoral

Indigenous-led environmental archaeology

originality
Moderate
methodology
Advanced
Data access
Moderate
ethics
Advanced

Quality and audit

88/100 quality

Safeguard-based audit was not recorded under the prior standard.

  • Emphasize ethical partnership with Indigenous stakeholders
  • Focus on interdisciplinary data synthesis
  • Open-access scholarly source and DOI metadata verified
Current safeguards were not recorded

This older record can be checked against the current standard on request. It changes only if every academic gate and independent safeguard passes.

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Provenance

Research Idea 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

Sonnenburg, L. (2025). Research in Great Lakes submerged site archaeology: past, present and future. Frontiers in Environmental Archaeology, 4, Article 1513697. https://doi.org/10.3389/fearc.2025.1513697

Paper abstract and discussion context; AI-inferred direction

This is an AI-inferred direction. The source authors did not state it as a recommendation.

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This registered research direction is a starting point for academic work. It does not claim to be a completed proposal or to establish novelty.

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