GSAW 2025 Evening Session
All times >> Pacific Standard Time |
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| Schedule (Parallel Sessions) |
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| Wednesday – February 26, 2025 5:30 PM – 8:30 PM PT |
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| Session A: Object Management Group (OMG) Space Related Standards Presentation and Evolution Discussion Leads: Justin Boss, Kratos, and Steven MacLaird, ♦ (bios) |
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| Object Management Group (OMG) is an international standards organization that creates and maintains several standards that are widely used in Government and Industry. OMG has developed and maintained standards and specifications including: CORBA, SysML, UAF, SPDX, and numerous others. It is not widely known that OMG also maintains many standards that are widely used in the space domain including C2MS and XTCE. The goal of this session is to present space related OMG standards as well as receive feedback on existing and potentially new areas that could benefit from standards. The evening session will consist of two parts: The first part of the session will highlight the OMG standards that are widely applied in the space domain. Presenters will provide information as to what the specifications are and how are they commonly applied. In addition, tentative roadmaps will also be presented to help attendees understand the currently planned evolution of the standards. A brief question and answer period will follow each presentation. The second half of the session will be interactive with the audience. Guidance will be sought as to areas where new standards might be developed to further aid in ground system development, implementation, and operations. In addition, feedback will be sought on the roadmaps that were presented in the first half of the session to better align with user needs. Participation will allow attendees to have a much-needed voice in ground-related standards development and evolution. | |
| Session B: AI/ML-Powered Ground Operations: A Collaborative Discussion Leads: Steve Brenner, and Curtis Bell, Parsons Government Services ♦ (bio) |
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| The need for semantic consistency across vast and highly segregated volumes of data remains a critical issue for the Department of Defense and Intelligence communities. Semantic consistency is a shared understanding of what a group of terms (vocabulary) and relationships between these terms mean across groups of developers, subject matter experts and throughout an enterprise. Without this shared meaning, advanced analytics, artificial intelligence, machine learning (AI/ML) and desired automation provided by these technologies can provide incorrect results or fail due to faulty data interpretation.
Our intelligence communities have access to more data than ever before. Analytic processes generate even more data that can be leveraged for further analysis. Our Intelligence and Defense communities continue to seek out methodologies for harnessing of this ever-increasing volume of data, including the use of automation, but to date, the speed and potential of this objective is critically impaired due to data issues that include inconsistencies in data format, inconsistencies in how data is represented in software, lack of alternate names for terms (labels), and a lack of a formal language that specifies how data relates to other data (formal logic). Formal logic allows new facts and relationships to be inferred based on existing facts and relationships positively impacting analytics and AI/ML. The use of ontologies provides a path for reconciling these issues, but only if the ontologies are developed according to standards and best practices to encourage future utility, scalability, and interoperability. Adherence to these principles encourage reuse and enable cost reduction for development and maintenance of the ontologies. The DoD/IC Ontology Working Group serves as the forum through which these critical issues are being resolved. The working group seeks to identify and promote those best practices and standards that have proven successful in other domains. The current working group began as only 5 individuals in May 2019, and has continuously grown in interest and participation, attesting to the broad recognition of this critical issue, the need to address it, and the likelihood of success given the stated objectives and methodology of this particular working group. The DoD/IC Ontology Working Group evening session will provide an overview of the working group as well as its methodology and rationale for building enduring, interoperable data architectures through ontology best practices. This Working Group has gained significant and growing interest. The session will be structured as a series of briefings and discussions on topics relating to ontologies, the DoD/IC Ontology Working Group, and key challenges relating to ontology development and use. |
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| Session C: Geo-QUEST in Action: An Interactive Discussion on Enhancing Situational Awareness and Humanitarian Response through Automation and Machine Learning Lead: David Pietrowski, The Aerospace Corporation and Jon Orozco, The Aerospace Corporation ♦ (bio) |
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| This session will explore the integration of modern space capabilities with humanitarian aid and disaster response operations through an innovative prototype: Geo-QUEST. Developed by The Aerospace Corporation, this tool exemplifies how automation and machine learning can transform satellite imagery analysis to enhance situational awareness, optimize resource allocation, and inform rapid decision-making for our customer, the United States Space Force. Participants will gain insight into the ecosystem of the Tac-SRT effort and the role the Geo-QUEST prototype plays in it through a panel discussion between experts representing the mission objectives, application developer perspective, and operator (end user) perspective. The discussion will delve into developing user-informed capabilities and the impact of these capabilities on reducing duplication of effort, promoting imagery reusability, and streamlining interagency collaboration by automating complex data searches. Dave Pietrowski will introduce the mission objectives of the Tac-SRT operation cell, underscoring Aerospace’s pivotal role in developing the prototype’s utility in order to inform the USSF’s procurement of these functionalities from external vendors. Jon Orozco will then walk participants through the development progress and capabilities of Geo-QUEST, focusing on leveraging modern web development principles and cloud native infrastructure. He will also be conducting a live demonstration of its querying and object detection capabilities and facilitating audience questions. Audience questions and discussion between presenters is encouraged throughout. We will formally invite participation during this demo portion.
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