USGIF members can email WorkingGroups@usgif.org for more information or to join.
Virtual Meeting
Green River Room. CSU Spur, 4777 National Western Drive, Denver, CO
Virtual Meeting
Virtual Meeting
Virtual Meeting
Virtual Meeting
Hybrid Meeting
Virtual Meeting
USGIF WORKING GROUPS PUBLICATIONS
Hybrid Cloud Team Decision Framework
A brief synopsis of a Cloud Decision Framework that includes thoughts on addressing challenges to a viable cloud ecosystem at an agency or community scale.
Cyber and Data Integrity Considerations
The study team reviewed the DoD-authored report, “Space Policy Review and Strategy on Protection of Satellites,” issued September 2023, in which space systems and architectures required to implement the Department’s assured space access policies and priorities are highlighted.
Improving LEO Space Object Detection and Analysis
The United States and our allies are heavily reliant on space capabilities and must ensure the reliability and continuity of critical space services. Current space situational awareness (SSA) networks cannot adequately detect and track the rapidly growing population of small resident space objects (RSOs) and space debris having the potential to damage or disable satellite…
Reducing Barriers to Uptake of Commercial Technology: COTS, COTS-Based, and Managed Open-Source Software
In the era of great power competition, rapidly evolving threats and geopolitical instability are reducing decision timelines. Commercial computer software offers a path to keep pace.
The AI-Enabled Analyst: The Future of Geospatial Intelligence
This USGIF white paper is intended for government and industry leaders involved in the defense, intelligence, and, specifically, the geospatial intelligence (“GEOINT”) community with an interest in Artificial Intelligence (AI) and Machine Learning (ML).
The Evolving Role of Synthetic Data in GEOINT Tradecraft
The objective of this USGIF Working Group White Paper is to educate and inform the GEOINT community on the evolving role of synthetic data. Advances in artificial intelligence (AI) methods, such as Deep Learning (DL) and Generative AI, pose new opportunities and challenges in geospatial intelligence tradecraft.
Reimagining Unclassified Work and Platforms: A Geographically Agnostic GEOINT Enterprise
Transitioning More Data and Analytic Capabilities—and the Humans Who Use Them—to Unclassified, Accessible, and Interoperable Systems
The State of AI/ML in the GEOINT Community and Beyond
An overview in AI/ML capabilities currently in China, Russia, and other actors, and how to address the AI/ML gap with workforce training, leadership backing, and culture shifts
Advancing the Interoperability of Geospatial-Intelligence Tradecraft with 3D Modeling, Simulation, and Game Engines
Technology trends that are influencing the convergence of GEOINT and the Modeling, Simulation, and Gaming tradecraft
Geospatial Intelligence & AI/ML Progress During a Pandemic
How the IC Has Adapted to the Challenges of COVID-19
