Documents / Report
This white paper, sponsored by the All-domain Anomaly Resolution Office and hosted with Associated Universities, Inc. and Florida State University, synthesizes a workshop held August 5 and 6, 2025, that brought together 40 participants. The workshop examined how to collect, standardize, link and analyze UAP narrative reports. It calls for standard metadata templates, human oversight of AI tools, triage of reports, preservation of historical records, better public reporting portals and further workshops.
3 Introduction and Purpose Understanding the nature of Unidentified Anomalous Phenomena (UAP) has emerged in recent years as a pressing area of inquiry in need of rigorous scientific approaches, as well as cross- disciplinary, cross-sector and international collaboration. Analyzing reports of UAP related sightings and experiences presents unique challenges due to the large-scale, heterogeneous, and qualitative nature of the reports originating from military and civilian sources. These reports typically lack standardized metadata, making comparative analysis difficult. Additionally, the integration of UAP reports from disparate sources—such as military databases, online reporting systems, digital and digitized archival records, and social media—poses significant challenges for harmonization and verification of data and construction of evidence. The complexity of these datasets requires innovative data infrastructure solutions to enhance reliability, accessibility, and interoperability. The workshop explored these challenges and sought strategies to improve UAP data standardization, integration, and analytical approaches. Recent advances in artificial intelligence (AI) and machine learning present both opportunities to address challenges, along with potential hazards. Tools such as Large Language Models (LLMs) can assist with transcription, clustering, and pattern detection at scale, but they risk introducing bias and hallucination. Responsible use of AI to help organize, analyze, and integrate UAP reports at scale requires evaluation, human oversight, and shared frameworks for interpretation, alongside new models to ensure transparency and trust across diverse research communities. Therefore, the overall purpose of the workshop was to gather perspectives from the broader scientific community and advance the science of UAP. About the Workshop The workshop centered on the collection, organization, and interpretation of UAP reports, with attention to the challenges and opportunities of working with narrative data. The primary objectives established for the workshop were to: • Assess the current landscape of UAP reporting systems and data repositories; • Identify key challenges and gaps in UAP data collection, standardization, and accessibility; • Explore methodologies for data analysis and pattern recognition in UAP reports; • Nurture trust and collaboration between researchers, government agencies, and civilian organizations; and • Propose recommendations for developing a robust UAP data infrastructure.
Report, from the aaro collection. The PDF is mirrored here; the original link is above. 17 pages are in the text index: search them above, or from the library's search.