Show all projects

All projects
Optimizing Aircraft Performance for Enhanced Efficiency and Reduced Environmental Impact
Brandon M. Lowe Scale-Resolving Methods for Accurately Predicting the Aerodynamics of In-Flight Icing
David A. Craig Penner Enabling Sky-High Commutes: Simulating NASA’s Tilt-Wing Air Taxi Concept
David Garcia Perez Scale-Resolving Simulations for Jet Noise Prediction
Olivia Martin Supercomputing in Supersonics: Analyzing Noise Predictions from High-Speed Aircraft
Marian Nemec Parallel Geometry-Based Mesh Adaptation for Supersonic Jet Acoustic Analysis
Chase Ashby
Reliable Thermal Protection Systems for Planetary Missions
Savio Poovathingal Analyzing the Artemis I Launch Environment with Multiphase CFD
Chris DeGrendele SpaceX Starship Hot Staging - From Concept to Flight
Jason Liu Decoding Martian Dust: Brownout Simulations of the Ingenuity Mars Helicopter
Patricia Ventura Diaz Coupled Simulations of Propellant and Vehicle Dynamics Over Extreme Duration Time Scales
Marco Sansone
Future-Proof Performance Portability for Weather and Climate Models
Florian Deconinck Machine Learning Enhancements to NASA Weather and Climate Modeling
Katherine H. Breen AI Foundation Models for Science
Manil Maskey High-Resolution Land Hydrology Modeling at NASA
Jim Geiger Forecasting Extreme Weather at Local Scales with the Global NASA GEOS Model
Gary Partyka Prithvi WxC: Foundation Model for Weather and Climate
Sujit Roy Foundation Models for Generalist Geospatial Artificial Intelligence
Amy Lin
Solar Corona Live! Predicting the 2024 Eclipse in Real Time
Ronald Caplan To Infinity and Beyond! NASA Plunges into a Black Hole
Jeremy Schnittman Forecasting Space Weather Using Machine Learning
Spyros Kasapis Unveiling Neutron Stars: Simulations and AI Insights into Cosmic Emissions
Constantinos Kalapotharakos, Greg Olmschenk The Sun in Action! 3D Realistic Modeling from Tiny to Large Scales
Irina Kitiashvili
Applying for NASA Supercomputing Internships
Laura Carriere How NASA Uses Filmmaking Tools for Scientific Data Visualization
AJ Christensen Introduction to NASA and Early Career Pathways
Matt Bruzek Computational Methods for Evaluating Transonic Aircraft Buffet
Daniel Maldonado Supercomputing in Supersonics: Quiet Supersonic Flight
Marian Nemec Becoming a NASA Intern and Exploring the World of CFD Simulations
Patricia Ventura Diaz How NASA Manages User Access Using Arbiter2
Dave Chau Managing and Patching Multiple Architectures at NASA
Don Story Designing Ansible for Large Scale Environments
Alex Pelkey

NASA’s OCSDO: Creating a Culture of Innovation and Collaboration

Supercomputing
Satellite image of Hurricane Idalia in August 2023.
With the Prithvi WxC weather-climate foundational model, researchers will be able to support many climate applications that can be used throughout the science community. These applications include detecting and improving models for severe weather patterns or natural disasters such as hurricanes. NASA’s Terra satellite acquired this image of Hurricane Idalia in August 2023. NASA Earth Observatory

The Office of the Chief Science Data Officer (OCSDO) within NASA’s Science Mission Directorate (SMD) plays a pivotal role in advancing transformative science. Established in 2021, the OCSDO focuses on identifying and fostering collaborations in data, computing, and analytics across NASA’s Astrophysics, Biological and Physical Sciences, Earth Science, Heliophysics, and Planetary Science Divisions.

Led by Kevin Murphy, Chief Science Data Officer, the OCSDO collaborates with the five science divisions to drive innovation in artificial intelligence (AI), cloud computing, and data science. The OCSDO is committed to fostering cutting-edge data practices, open science, and the continuous evolution of scientific data and computing systems. By ensuring NASA’s scientific data are accessible and usable by researchers worldwide, the OCSDO contributes significantly to scientific progress.

These transformative AI models are reshaping data accessibility by significantly lowering the barrier of entry to using NASA’s scientific data. Our open approach to sharing these models invites the global community to explore and harness the capabilities we’ve cultivated, ensuring that NASA’s investment enriches and benefits all.

Kevin Murphy,
NASA Headquarters

Quick Facts

  • The OCSDO oversees SMD’s scientific data and computing capabilities by enabling efficiencies and meeting strategic needs across science divisions and research communities.
  • The OCSDO enables transformative science across SMD by providing inclusive support for the adoption of open science, innovative data science, and the overall advancement of scientific data and computing systems.
  • Through a Space Act Agreement, SMD's collaborative effort led to the rapid development and release of the Geospatial Foundation Model within six months. The collaboration set a precedent for similar future activities to provide specialized AI and machine learning (ML) expertise and substantial computational resources.
  • The OCSDO is developing strategies and activities to support the use of advanced data science techniques, including AI/ML, to meet SMD's science objectives.

Researchers

  • Andrew Mitchell, NASA Headquarters
  • Kevin Murphy, NASA Headquarters

More Information

All projects

Optimizing Aircraft Performance for Enhanced Efficiency and Reduced Environmental Impact
Brandon M. Lowe Scale-Resolving Methods for Accurately Predicting the Aerodynamics of In-Flight Icing
David A. Craig Penner Enabling Sky-High Commutes: Simulating NASA’s Tilt-Wing Air Taxi Concept
David Garcia Perez Scale-Resolving Simulations for Jet Noise Prediction
Olivia Martin Supercomputing in Supersonics: Analyzing Noise Predictions from High-Speed Aircraft
Marian Nemec Parallel Geometry-Based Mesh Adaptation for Supersonic Jet Acoustic Analysis
Chase Ashby
Reliable Thermal Protection Systems for Planetary Missions
Savio Poovathingal Analyzing the Artemis I Launch Environment with Multiphase CFD
Chris DeGrendele SpaceX Starship Hot Staging - From Concept to Flight
Jason Liu Decoding Martian Dust: Brownout Simulations of the Ingenuity Mars Helicopter
Patricia Ventura Diaz Coupled Simulations of Propellant and Vehicle Dynamics Over Extreme Duration Time Scales
Marco Sansone
Future-Proof Performance Portability for Weather and Climate Models
Florian Deconinck Machine Learning Enhancements to NASA Weather and Climate Modeling
Katherine H. Breen AI Foundation Models for Science
Manil Maskey High-Resolution Land Hydrology Modeling at NASA
Jim Geiger Forecasting Extreme Weather at Local Scales with the Global NASA GEOS Model
Gary Partyka Prithvi WxC: Foundation Model for Weather and Climate
Sujit Roy Foundation Models for Generalist Geospatial Artificial Intelligence
Amy Lin
Solar Corona Live! Predicting the 2024 Eclipse in Real Time
Ronald Caplan To Infinity and Beyond! NASA Plunges into a Black Hole
Jeremy Schnittman Forecasting Space Weather Using Machine Learning
Spyros Kasapis Unveiling Neutron Stars: Simulations and AI Insights into Cosmic Emissions
Constantinos Kalapotharakos, Greg Olmschenk The Sun in Action! 3D Realistic Modeling from Tiny to Large Scales
Irina Kitiashvili
Applying for NASA Supercomputing Internships
Laura Carriere How NASA Uses Filmmaking Tools for Scientific Data Visualization
AJ Christensen Introduction to NASA and Early Career Pathways
Matt Bruzek Computational Methods for Evaluating Transonic Aircraft Buffet
Daniel Maldonado Supercomputing in Supersonics: Quiet Supersonic Flight
Marian Nemec Becoming a NASA Intern and Exploring the World of CFD Simulations
Patricia Ventura Diaz How NASA Manages User Access Using Arbiter2
Dave Chau Managing and Patching Multiple Architectures at NASA
Don Story Designing Ansible for Large Scale Environments
Alex Pelkey