Welcome

• Audrey Berquand (ESA)
• Ana Victoria Ladeira (ESA)

Room: Einstein

Keynote: Artificial Intelligence and Natural Language Processing in Space: A Methodological Framework and Four ESA Case Studies

• José Manuel Gómez-Pérez (Expert.ai)

Room: Einstein The European Space Agency is well known as a powerful force for scientific discovery in numerous areas related to Space. The amount and depth of the knowledge produced throughout the different missions carried out by ESA and their contribution to scientific progress is enormous, involving large collections of documents like scientific publications, feasibility studies, technical reports, and quality management procedures, among many others. Through initiatives like the Open Space Innovation Platform, ESA also acts as a hub for new ideas coming from the wider community across different challenges, contributing to a virtuous circle of scientific discovery and innovation. Handling such wealth of information, of which large part is unstructured text, is a colossal task that goes beyond human capabilities, hence requiring automation. We present a methodological framework based on artificial intelligence and natural language processing and understanding to automatically extract information from Space documents, generating value from it, and illustrate such framework through several case studies implemented across different functional areas of ESA, including Mission Design, Quality Assurance, Long-Term Data Preservation, and the Open Space Innovation Platform. In doing so, we demonstrate the value of these technologies in several tasks ranging from effortlessly searching and recommending Space information to automatically determining how innovative an idea can be, answering questions about Space, and generating quizzes regarding quality procedures. Each of these accomplishments represents a step forward in the application of increasingly intelligent AI systems in Space, from structuring and facilitating information access to intelligent systems capable to understand and reason with such information.

NASA’s Human System Risk Framework

• Mary Van Baalen (NASA Johnson Space Center)

Room: Einstein Risk is inherent in human spaceflight. The Human System Risks are a special category of risks that National Aeronautics and Space Administration (NASA), as an Agency, has to contend with when engaging with the challenges of human spaceflight. While programmatic and institutional safety risks are often tied to a specific program or activity, Human System Risks are designed to inform NASA Technical Standards, to protect human crews independent of any specific spaceflight program. Risk management in the context of human system risks can be viewed as a trade-based system where the relevant evidence in life sciences, medicine, and engineering is tracked and evaluated to identify ways to minimize overall risk to the astronauts and to ensure mission success. NASA’s Human System Risk Board (HSRB) manages the process by which scientific evidence is utilized to establish and reassess the postures of the various risks to the human system during all of the existing or anticipated crewed missions. The HSRB uses Directed Acyclic Graphs (DAG), a type of causal diagramming, as visual tools to create a shared understanding of the risks, improve communication among those stakeholders, and enable the creation of a composite risk network that is vetted by members of the NASA community. The knowledge captured is the Human Health and Performance community’s knowledge about the causal flow of a human system risk, and the relationships that exist between the contributing factors to that risk.

Brainstorming Guidelines

• Ana Victoria Ladeira (ESA)
• Audrey Berquand (ESA)

Room: Einstein

Brainstorming Sessions Room: Einstein

Brainstorming Outputs Summary Room: Einstein

Closing Statements

• Audrey Berquand (ESA)
• Ana Victoria Ladeira (ESA)

Room: Einstein

Networking Drinks Room: Einstein