3rd SMD and ETD Workshop on A.I. and Data Science: Leaping Toward Our Future Goals

3rd SMD and ETD Workshop on AI and Data Science: leaping toward our future goals
Date: March 21 – 23, 2023

Overarching goal
Roll out NASA’s AI/ML strategy for science and engage the field centers science communities for feedback on how they can embrace new technologies to implement AI/ML in their workflows to advance their analyses for new scientific discoveries. We need feedback from NASA attendees on higher-level opportunities and roadblocks to greater use of AI/ML.

Previous meetings were held in:
2018 - https://asd.gsfc.nasa.gov/conferences/ai/ and
2021 - https://datascience.jpl.nasa.gov/aiworkshop.html (virtual)

Expected Outcomes

• A report back to HQ SMD management documenting opportunities and roadblocks for deeper integration of AI/ML workflows

• Identification of gaps and understanding of the state of the art

• Provide NASA attendees with guidelines for putting ethical principles to practice

• Approaches for open sharing and collaboration of AI resources between centers

 

Locations:

• Building 8, Auditorium (Plenary and 1 Focused Discussion)

• Building 28, (Posters and 2 Focused Discussion Sections)

• Building 21, Library (2 Focused Discussion Sections)

Code of Conduct
The meeting committee is committed to providing safe, welcoming, and productive environment and has adopted the American Geophysical Union Scientific Code of Conduct https://www.agu.org/Learn-About-AGU/About-AGU/Ethics. The Code of Conduct "rejects discrimination and harassment by any means, based on factors such as ethnic or national origin, race, religion, citizenship, language, political or other opinions, sex, gender identity, sexual orientation, disability, physical appearance, age, or economic class." This Code also includes information on expected behavior, unacceptable behavior, consequences, and how to report unacceptable behavior. If you have any concerns or need an ally, contact any individual from the meeting planning committee. To formally file a complaint with NASA, consult Harassment and Discrimination Reporting for NASA Employees, Contractors, and Grantee Beneficiaries.

Day 1: What is the current state/strategy from NASA HQ for using AI/ML to advance science
8:40 – 8:55

• Arrive, register, and collect name tags

9:00 – 9:10

• Introduction and logistics – Mark Carroll (GSFC)

9:10 – 9:20

• Welcome to Goddard – Christyl Johnson (GSFC)

9:20 – 9:40

• GSFC Science Exploration Directorate overview – Christa Peters-Lidard (GSFC)

9:40 – 10:40

• Division overviews of AI/ML implementation HQ (10 min each)

  • Astrophysics – Roopesh Ojha (HQ) VIRTUAL

  • Biological and Physical Sciences – Sylvain Costes (ARC)

  • Earth Science – Manil Maskey (MSFC/HQ)

  • Planetary Science – Megan Ansdell (HQ)

  • Heliophysics – Lika Guhathakurta (GSFC) VIRTUAL

10:40 – 10:55

 

• –Break–

10:55 – 11:40

• NASA OSSI SMD AI Initiative – Manil Maskey (MSFC/HQ)

11:40 – 12:10

• NASA on-prem resources for AI/ML

  • Laura Carriere (GSFC)

  • Bill Thigpen (ARC)

12:10 – 1:30

• Lunch

1:30 – 2:00

• Covering Multiple Star Systems in TESS Data with Machine Learning – Brian Powell (GSFC)Disc

2:00 – 2:30

• Artificial Intelligence for future Earth Science Information Systems and Earth System Digital Twins – Jacqueline Le Moigne (HQ)

2:30 – 3:00

• The Once and Future Sun: How AI/ML is shaping Heliophysics Science – Chris Bard (GSFC)

3:00 – 3:15

• –Break–

3:15 – 4:45

• AI/ML & NASA Missions – Mike Johnson (GSFC)/Victoria Da Poian (GSFC) to Moderate

  • Distributed Spacecraft Autonomy project – Caleb Adams (ARC)/Jeremy Frank (ARC) VIRTUAL

  • The Necessity and Challenges of Using Machine Learning in Future Planetary Missions – Eric Lyness (GSFC)

  • Data Science for Physical Science Advancement – Lukas Mandrake (JPL)

  • AI on the Edge for Spacecraft Sensors: Challenges and Opportunities in Calibration, Measurement, and Event Detection – Makhan Virdi (LaRC) VIRTUAL

  • Resilient Systems: Autonomy starts where Automation Stops – Evana Gizzi (GSFC)

4:45 – 5:00

• Group Discussion, Group Q&A

5:00 – 6:00

• Evening poster session (60 min w/ refreshments) – Victoria Da Poian (GSFC)

 

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Day 2: Beyond the platforms, what are the actual tools available to jumpstart AI/ML as a driver of scientific discovery
9:00 – 9:30

• Responsible application of AI – Shelley Stall (AGU) VIRTUAL

9:30 – 10:30

• Industry/Partnership – Mike Little (GSFC)/Elizabeth Fancher (MSFC/HQ) to moderate (10 min each)

  • Space Act agreements – Elizabeth Fancher (MSFC/HQ)

  • Small Business Innovation Research (SBIR) – Mike Little (GSFC)/Mike Seablom (GSFC/HQ)

  • Core Services Program: Data and Computing Architecture Study – Andy Mitchell (HQ)

  • IBM Foundation Models – Raghu Ganti (IBM)

  • Microsoft OpenAI Service – Kevin Tupper (Microsoft)

10:30 – 10:45

• –Break–

10:45 – 11:15

• Industry lightning talks (5 min/each)

  • Labelbox – Jake Lee

  • Cerebras – Andy Hock

  • CFD Research – Elise Shultz

  • Emergent Space (MAGE) – Brett Carver

  • Geolabe – Claudia Hulbert

11:15 – 11:45

• Foundation Models for Science – Rahul Ramachandran (MSFC)

11:45 – 12:00

• Knowledge science: search and discovery in NASA data – Kaylin Bugbee (MSFC)

12:00 – 12:30

• Unsupervised Instance Segmentation and Tracking across Multi-Source Scenes using SIT-FUSE – Nick LaHaye (JPL)

12: 30 – 12:40

• Charge to discussion sessions – Mark Carroll (GSFC)

12:40 – 2:00

• Lunch

2:00 – 5:00

• Five focused topic discussions (selected with meeting registration, separate agendas will be made available), existing projects, and currently funded work (Bldg 8, 21 & 28)

  • Science enabled and augmented by AI – Felix Seidel (JPL)/Christa Peters-Lidard (GSFC)/Michael Kirk (GSFC) Building 28 room S216•

  • Models: Physics and AI/ML augmentation – Christoph Keller (GSFC)/Brandon Smith (GSFC)/Craig Pelissier (GSFC) Building 28 room E210

  • Community and Societal Impact of AI/ML: Ethics, responsibility, explainability – Ed McLarney (LaRC)/Barbara Thompson (GSFC) Building 21 GIC2 Library

  • The Network of AI Initiatives: Commonality, Culture, and Collaboration across AI/ML groups and communities – Ryan McGranaghan (JPL)/Lauren Sanders (ARC) Building 21 GIC2 Library

  • The Infrastructure for Data Science – Dan Crichton (JPL)/Shubha Ranjan (ARC) Building 8 Hinners Auditorium

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Day 3: Emerging trends, what else is out there, and how do we adopt these at NASA

9:00 – 10:00

• NSF AI Institute – Amy McGovern (Oklahoma University) VIRTUAL

10:00 – 10:30

• Report back on focused discussion sessions: identified gaps/opportunities – Focused topic discussion session chairs (5 min/each)

10:30 – 10:45

• –Break–

10:45 – 11:15

• Developing Science Autonomy for Future Missions to Ocean Worlds – Bethany Theiling (GSFC)

11:15 – 12:15

• Cross Center Data Science Group Panel (Dan Crichton to moderate)

  • JPL – Dan Crichton

  • MSFC – Manil Maskey

  • ARC – Nikunj Oza

  • GRC – Herb Schilling

  • LaRC – Ed McLarney

  • GSFC – Mark Carroll

12:15 – 1:30

• Lunch

1:30 – 1:45

• Repositories of labeled training – Jed Sundwall (Radiant Earth Foundation)

1:45 – 2:00

• Earth Information Systems – Sujay Kumar (GSFC)

2:00 – 2:45

• Quantum Computing for AI – Lucas Brady (ARC)

2:45 – 3:15

• NASA AI/ML: Transforming our future – Omar Hatamleh (GSFC/HQ)

3:15 – 3:30

• Wrap up and challenge to make progress – Committee Members