Dear Second AI and Data Science Workshop Attendees and Colleagues:

The original workshop, scheduled for March 24–26, 2020, has been rescheduled for February 9–11, 2021 as a virtual gathering. Stay tuned for more information and updates in the coming days.

Thank you for your enthusiasm, interest, and support of the workshop.

📜 Agenda now available
🖼 Poster program published
🙋‍♀️ Attendee survey

NCTS Forecasting Number: 43062-21

NASA’s mission of exploration requires leveraging new ways to utilize and learn from the unprecedented amount of data that space-based observation platforms generate. New capabilities are needed, ranging from onboard autonomy for robotic spacecraft to techniques for understanding the world and universe where we live. Artificial Intelligence (AI) and data science are rapidly becoming integral to NASA’s future to drive automation and interpretation.

Compared to Industry and Academia, NASA has specific challenges as well as resources that are particularly well-suited to the use of AI and data science:

  • A wealth of data and information to leverage and "learn" from
  • Many science- and mission-oriented applications that can benefit from learning on previous data and from domain and expert knowledge
  • Extreme challenges unique to NASA’s exploration mission from onboard sensing in remote locations to retrospective and predictive analysis for monitoring our Earth’s state.

In November 2018, Goddard Space Flight Center hosted the GSFC AI Workshop. This is a follow-on workshop that builds on the progress made in AI, data science, and within NASA in the application of these capabilities to NASA projects.

The workshop will be organized as a combination of keynote addresses, invited speakers, short talks and posters centered around specific themes and topics of interest. These are as follows:

  1. Data-Driven Science – Applications of AI and data science methodologies applied to enable science research at NASA. Support for working with observational data and model output. Data analytics support including i) quantification of uncertainty in inference from big data; ii) use of machine learning to support data mining and pattern recognition; iii) reproducibility in scientific inferences from AI and data science.
  2. AI in Engineering – Applications of AI and data science methodologies applied to support NASA engineering applications across science, human exploration, and aeronautics. Use of AI methods for simulation, design, and operations.
  3. Autonomy – Use of AI and data science to enable automated mission operations; onboard application of AI and data science to support autonomous missions including navigation, operations, and science.
  4. Cross-cutting AI and Data Science activities at NASA – General AI methods and projects applicable to multiple NASA programs including machine learning, image analysis, natural language processing, etc.
  5. Cross-Agency AI and Data Science activitiesAI and data science collaborations across federal agencies
  6. Emerging Research Topics in AI; Collaborations with AcademiaAI and data science collaborations between NASA and academia. Training and educating next generation workforces in AI and data science. Research topics in AI and data science including trust, reproducibility, explainability, human AI interaction, etc.
  7. Real-World Applications of AI and Data Science – NASA deployed applications in AI and data science.

We look forward to you joining us!