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Research and Technology Challenges for Human Data Analysts in Future Safety Management Systems
Enabling new and novel concepts of operations for Advanced Air Mobility poses an important need to evolve current safety management systems (SMS) and is posited to be realized through advances in Machine Learning (ML) Data Sciences and Artificial Intelligence. The “In-time Aviation Safety Management System” (IASMS) concept of operations supports the need to evolve today’s SMS to become more tailorable, scalable, and interoperable in response to forecasted changes expected for the future airspace system. Key to IASMS is integration of proactive and predictive ML algorithms trained to provide “in time” detection and mitigation of hazards and emergent risks through new methods and novel data types. IASMS research and technology development includes human factors design considerations for these systems to include human-system teaming, innovations in human interfaces and management of complex digital data information, human-system interaction/model-based system engineering, and verification and validation for data assurance and trust.
Research and Technology Challenges for Human Data Analysts in Future Safety Management Systems
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Open-Source Geospatial Information and Tools for Safeguards Analysts.
Abstract not provided.
Open-Source Geospatial Information and Software Tools for Safeguards Analysts.
Abstract not provided.
Enhancing the Analyst and Decision Maker Through Text Analytics.
Abstract not provided.
Waveform Correlation Effectiveness During High Analyst Workload Sequences.
Abstract not provided.
Comprehension aid for cyber analyst
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IDC Reengineering Phase 2 Elaboration E3 Provides Analyst Feedback Storyboard.
Abstract not provided.
IDC Reengineering Phase 2 Elaboration E3 Views Analyst Feedback Storyboard.
Abstract not provided.
Critical Skill Job – Cyber Security Analyst
This video series provides a first-hand look at critical skills positions at the Savannah River Site and required qualifications. Meet the people behind the jobs and learn what they do to support important SRS missions.
Using Waveform Correlation Methods to Reduce Analyst Burden.
Abstract not provided.
Ionization Statistics and Diffusion: Analystical Estimate of their Contribution to Spatial Resolution of Drift Chambers
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The t-Expansion: A Non-Perturbative Analystic Tool for Hamiltonian Systems
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Using Waveform Correlation Methods to Reduce Analyst Burden.
Abstract not provided.
Interface Design for Analysts in a Data and Analysis-rich Environment.
Abstract not provided.