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4th NOAA Workshop on Leveraging AI in Environmental Sciences has ended
The interactive workshop will be a virtual event to build collaboration and initiate the active development of AI-powered applications and community standards.

We invite developers, data scientists, domain experts, social scientists, and downstream users to form small teams around different use cases that are relevant to three themes relevant to NOAA Mission Areas: Fire Weather and Impacts, AI for Ocean Conservation, and Interoperable Digital Twin Earth.

All information about workshop logistics can be found in the handbook for participants.

If you encounter issues registering for the workshop, please contact ai.workshop@noaa.gov.

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Tuesday, September 6
 

12:00am MDT

Join Slack Workspace
All information about workshop logistics can be found in the handbook for participants.

Slack is the official space for discussion during the workshop. To facilitate continuous discussion during and after the workshop, Zoom chat will be disabled during the session and all participants should join the workshop Slack workspace. You can continue the conversation during the session in Slack. When replying to other participants, please use “Reply in thread” to help track the conversation.
  • If you are within NOAA, you can directly sign up using your noaa.gov email address.
  • If you are outside of NOAA, please use this invitation link to join the Slack workspace. [Link updated on September 6, 2022]
  • If you joined the workshop space in 2021, you don’t need to rejoin since we are using the same workspace.
  • Slack only allows 100 people to use the invitation link. If you are having trouble joining the space please email ai.workshop@noaa.gov.

Tuesday September 6, 2022 12:00am - Friday September 9, 2022 11:30pm MDT

9:30am MDT

Opening Plenary – Emerging Technologies for Environmental Sciences
During this opening session, plenary speakers will discuss the big picture in which emerging technologies including Digital Twins for the Earth System align with select institutions’ visions. This session touches on all three focused themes of the workshop.

Session agenda:
09:30: Welcome! - Yuhan “Douglas” Rao, Chris Slocum, Heather McCullough, Rob Redmon
09:35: Dr. Sarah Kapnick (NOAA, Chief Scientist)
09:50: Prof. Stephen Belcher (UK Met Office, Chief Scientist)
10:05: Dr. Nadine Alameh (Open Geospatial Consortium, CEO)
10:20: Panel Q&A with Speakers and Additional Panelists - moderated by Eric Kihn
Dr. Kapnick, Dr. Alameh
Dr. Jacqueline Le Moigne (NASA, PM Advanced Information Systems Technology)
Dr. Peter Dueben (ECMWF, Head of Earth System Modeling)
11:00: Session Close

Notes:
Times above are in Mountain Daylight Time (UTC - 6). We will use Slido during the Q&A. We'll use Slack to build community throughout the workshop.

Slido for Q&A: sli.do/2022AI/

Moderators
avatar for Eric Kihn

Eric Kihn

Division Chief, NOAA NCEI
avatar for Douglas Rao

Douglas Rao

Research Scientist, CISESS/NCICS/NCSU
I am currently a Research Scientist at North Carolina Institute for Climate Studies, affiliated with NOAA National Centers for Environmental Information. My current research at NCICS focuses on generating a blended near-surface air temperature dataset by integrating in situ measurements... Read More →
avatar for Rob Redmon

Rob Redmon

Scientist, NOAA Center for AI
Dr. Rob Redmon is a senior scientist with NOAA's National Centers for Environmental Information (NCEI). He is the Lead for NOAA's Center for Artificial Intelligence (NCAI, noaa.gov/ai), and the Space Weather Follow On (SWFO) Science Center.

Speakers
avatar for Peter Dueben

Peter Dueben

Head of Earth System Modelling, ECMWF
Peter is the Head of the Earth System Modelling Section at ECMWF. Previously, he was the AI and Machine Learning Coordinator, holding a University Research Fellowship of the Royal Society. Naturally, Peter's research interests are covering many aspects of model development, high-performance... Read More →
avatar for Sarah Kapnick

Sarah Kapnick

Chief Scientist, NOAA
Sarah Kapnick, Ph.D., is the chief scientist for NOAA. In this role, Dr. Kapnick is responsible for advancing policy and program direction for NOAA’s science and technology priorities.Dr. Kapnick has extensive experience at the intersection of climate science and economics. Most... Read More →
avatar for Stephen Belcher

Stephen Belcher

Chief Scientist, UK Met Office
Professor Stephen Belcher obtained his PhD in fluid dynamics from the University of Cambridge in 1990 and has subsequently published over 100 peer-reviewed papers on the fluid dynamics of atmospheric and oceanic turbulence. Having completed his PhD he became a research fellow at Stanford... Read More →
avatar for Nadine Alameh

Nadine Alameh

CEO, Open Geospatial Consortium
Dr. Nadine Alameh is the Chief Executive Officer (CEO) of the Open Geospatial Consortium (OGC)—a collective problem-solving body convening the global community of geospatial experts and users to make location information Findable, Accessible, Interoperable, and Reusable (FAIR) via... Read More →
avatar for Jacqueline Le Moigne

Jacqueline Le Moigne

Program Manager, Advanced Information Systems Technology (AIST), NASA Earth Science Technology Office


Tuesday September 6, 2022 9:30am - 11:00am MDT
Virtual - Zoom

11:00am MDT

Break
Tuesday September 6, 2022 11:00am - 11:30am MDT
Virtual - Zoom

11:30am MDT

Digital Twin for Earth System – Organizational Visions and Plans
In this session, speakers representing different institutions present their short and long term plans in DT for the Earth System (DT4ES). What are the ultimate goals?

Session agenda:
11:30: Welcome / Housekeeping
11:35: Sid Boukabara (NOAA): Global Observation and Prediction of the Earth System Environment Using AI-Powered Digital Twin Technology: NOAA’s Activities
11:47: Thomas Geenen (ECMWF): Destination Earth
11:59: David M. Hall (NVIDIA): NVIDIA - Interoperable Digital Twins of the Earth
12:11: Kirstine Dale (UKMO): Environmental Digital Twins – vision and plans at the UK Met Office
12:23: Jacqueline Le Moigne (NASA): NASA Advanced Information Systems Technology (AIST) - Building Earth System Digital Twins
12:35: Q&A
13:00: Session Close

Notes:
Times above are in Mountain Daylight Time (UTC - 6). Lightning talks are roughly 10-12 minutes each followed by a Q&A with the panel. We will use Slido during the Q&A. We'll use Slack to build community throughout the workshop.

Slido for Q&A: sli.do/DIGITALTWIN/

Google Documents

Moderators
avatar for Rob Redmon

Rob Redmon

Scientist, NOAA Center for AI
Dr. Rob Redmon is a senior scientist with NOAA's National Centers for Environmental Information (NCEI). He is the Lead for NOAA's Center for Artificial Intelligence (NCAI, noaa.gov/ai), and the Space Weather Follow On (SWFO) Science Center.
NW

Nai-Yu Wang

Physical Scientist, NOAA NESDIS Office of Projects, Planning, and Analysis

Speakers
KD

Kirstine Dale

Principal Fellow/Co-Director for Joint Centre for Excellence in Environmental Intelligence, UK Met Office
avatar for David M. Hall

David M. Hall

Senior Data Scientist, NVIDIA
Dr. David M. Hall is a Senior Data Scientist at NVIDIA. His research focuses on applications of Artificial Intelligence for the Earth and space sciences. Previously, Dr. Hall held positions as an Assistant Professor of Research in the Computer Science Department at CU Boulder, and... Read More →
avatar for Jacqueline Le Moigne

Jacqueline Le Moigne

Program Manager, Advanced Information Systems Technology (AIST), NASA Earth Science Technology Office
SB

Sid Boukabara

Senior Scientist, NOAA NESDIS Office of Systems Architecture & Advanced Planning
VR

V. Ramaswamy

Director, NOAA GFDL


Tuesday September 6, 2022 11:30am - 1:00pm MDT
Virtual - Zoom

11:30am MDT

Fire Weather and Impacts – Use Case Idea Pitching
About Fire Weather and Impact Theme: This year's AI Workshop is piloting a collaboration development activitu modeled after the hackweek which brings participants with different backgrounds together to form collaboration and develop various use cases that are related to research and applications for fire weather and impacts. The core objective of FireWxHack are two-fold:

1. Foster collaboration building in applying AI/ML for fire weather research: Provide opportunities for fire weather researchers and data scientists to develop project ideas on how to use AI/ML and open environmental data for fire weather research & application development.
2. Collect user feedback on open environmental data for AI/ML in fire weather: Collect user feedback on how to improve open environmental data that can accelerate the adoption of AI/ML in fire weather research.
This event is NOT a data science competition and there is no fixed target for each individual team.

Session information:
This session will use interactive collaboration tools, breakout rooms, and facilitated discussion to help fire weather theme participants to form teams that are interested in similar use cases to develop use case ideas and outline the project development plans.

Relevant materials:
1. About FireWxHack: Document summarizing the goal of fire weather theme activities.
2. Introduction slides: Slides used during meet and greet to describe the timeline of fire weather theme.
3. Suggested use cases: These are three suggested use cases with relevant environmental data for fire weather research.
4. JupyterHub Environment: https://oasis.ncics.org (require GitHub user name to sign in).

Moderators
avatar for Douglas Rao

Douglas Rao

Research Scientist, CISESS/NCICS/NCSU
I am currently a Research Scientist at North Carolina Institute for Climate Studies, affiliated with NOAA National Centers for Environmental Information. My current research at NCICS focuses on generating a blended near-surface air temperature dataset by integrating in situ measurements... Read More →
avatar for Jebb Q. Stewart

Jebb Q. Stewart

Acting Division Chief Advanced Technologies Division, NOAA Global Systems Laboratory
Jebb Q. Stewart is the acting lead of the Advanced Technology Division with NOAA's Global System Laboratory in Boulder Colorado and Co-Chair of NOAA's Artificial Intelligence Executive Committee.  With a unique background in both Meteorology and Computer Science, he has over 20 years... Read More →

Tuesday September 6, 2022 11:30am - 1:00pm MDT
Virtual - Zoom

11:30am MDT

Ocean Science and Conservation – Current Status & Challenges
During this session, we will hear from a selction of lightning talks from different organizations to understand the current landscape of challenges and solutions of using AI in ocean conservation and sciences.

Session agenda:

11:30 - 11:35: Welcome (Ben Richards, NOAA Fisheries/PIFSC)
11:35 - 11:45: TagLab, an AI-assisted labelling tool for reefscape analysis (Gaia Pavoni, Italian National Research Council)
11:45 - 11:55: Evaluating AI Solutions for Reducing Benthic Habitat Annotation Bottlenecks (Bryan Costa, NOAA/NOS/NCCOS)
11:55 - 12:05: Tator, an open source, web-based collaborative analysis platform for video and imagery (Benjamin Woodward, CVision AI)
12:05 - 12:15: Mapping Seafloor Habitats with AI (Bill Iannacci, Jeff Clark, JAXON AI)
12:15 - 12:25: Flukebook as a collaboration tool (Tanya Stere, Wild Me)
12:25 - 12:35: Optimize and efficient monitoring operation using repeatable computer vision solution (Monica McEwe, Rafi Lav, Deloitte)
12:35 - 12:45: Machine Learning for real-time maritime transparency at Skylight (Patrick Beukema, Mike Gartner, AI2)
12:45 - 12:55: AI applications in satellite oceanography (Guangming Zheng, NOAA/NESDIS/STAR)

Notes:
Times above are in Mountain Daylight Time (UTC - 6). Lightning talks are roughly 10-12 minutes each followed by a Q&A with the panel. We will use Slido during the Q&A. We'll use Slack to build community throughout the workshop.

Slido for Q&A: sli.do/OCEAN/

Moderators
avatar for Benjamin Richards

Benjamin Richards

NOAA AI Executive Committee Co-chair & Bottomfish Survey Lead, NOAA Pacific Island Fisheries Science Center
Dr. Benjamin L. Richards is a Research Fishery Biologist at NOAA’s Pacific Islands Fisheries Science Center, where he leads the bottomfish fish survey team. His work focuses on development of fishery-independent surveys to continually improve the data used in fisheries stock assessment... Read More →

Speakers
avatar for Benjamin Woodward

Benjamin Woodward

CEO, CVision AI
avatar for Bryan Costa

Bryan Costa

Research Ecologist, NOAA NCCOS
I graduated from Middlebury College with a joint degree in Biology and Environmental Studies and from the University of Maryland, College Park with an MPS in Geospatial Sciences.  I joined the NOAA’s National Centers for Coastal Ocean Science (NCCOS) in 2005.  Since joining NOAA... Read More →
avatar for Gaia Pavoni

Gaia Pavoni

Research Scientist, CNR - National Research Council
I'm the architect of TagLab, an Open Source AI-based tool for marine ecology applications.
avatar for Tanya Stere

Tanya Stere

Director of Product, Wild Me
I am the director of product at Wild Me, the non-profit that develops, supports, and maintains Flukebook. Along with my team of software professionals, I work to understand our users' needs and create a tool that reduces effort and improves quality of photo ID catalogues.
GZ

Guangming Zheng

Senior scientist, NOAA
RL

Rafi Lav

Deloitte
JC

Jeff Clark

JAXON AI


Tuesday September 6, 2022 11:30am - 1:00pm MDT
Virtual - Zoom

1:00pm MDT

Break
Tuesday September 6, 2022 1:00pm - 1:30pm MDT
Virtual - Zoom

1:30pm MDT

Digital Twin for Earth System – Forming a Community Vision
Form a community vision for an interoperable DT4ES ecosystem by discussing how the previous session's and other varying visions match, overlap, are compatible or not. Discuss how these visions could evolve to ensure compatibility, interoperability, standard interfaces, etc.

Session agenda:
13:30: Guidance
13:40: Breakout Discussion (10-15 persons/room, randomly assigned)
14:05: Main room discussion at halfway point (Slido)
14:15: Breakout Discussion
14:45: Main room discussion
15:00: Session Close

Notes:
Times above are in Mountain Daylight Time (UTC - 6). Lightning talks are roughly 10-12 minutes each followed by a Q&A with the panel. We will use Slido during the Q&A. We'll use Slack to build community throughout the workshop.

Slido for Q&A: sli.do/DIGITALTWIN/

Google Documents for Breakout Rooms

Moderators
avatar for Rob Redmon

Rob Redmon

Scientist, NOAA Center for AI
Dr. Rob Redmon is a senior scientist with NOAA's National Centers for Environmental Information (NCEI). He is the Lead for NOAA's Center for Artificial Intelligence (NCAI, noaa.gov/ai), and the Space Weather Follow On (SWFO) Science Center.

Tuesday September 6, 2022 1:30pm - 3:00pm MDT
Virtual - Zoom

1:30pm MDT

Fire Weather and Impacts – Use Case Initial Development
About Fire Weather and Impact Theme: This year's AI Workshop is piloting a collaboration development activitu modeled after the hackweek which brings participants with different backgrounds together to form collaboration and develop various use cases that are related to research and applications for fire weather and impacts. The core objective of FireWxHack are two-fold:

1. Foster collaboration building in applying AI/ML for fire weather research: Provide opportunities for fire weather researchers and data scientists to develop project ideas on how to use AI/ML and open environmental data for fire weather research & application development.
2. Collect user feedback on open environmental data for AI/ML in fire weather: Collect user feedback on how to improve open environmental data that can accelerate the adoption of AI/ML in fire weather research.
This event is NOT a data science competition and there is no fixed target for each individual team.

Session information:
During this session, each use case team will share the initial project ideas and receive feedback from other workshop participants during the first 45 minutes. Participants will have the opportunity to switch use cases that are better fit for their personal interest. Use case teams will reconvene in the breakout room to continute the discussion.

Relevant materials:
1. About FireWxHack: Document summarizing the goal of fire weather theme activities.
2. Introduction slides: Slides used during meet and greet to describe the timeline of fire weather theme.
3. Suggested use cases: These are three suggested use cases with relevant environmental data for fire weather research.
4. JupyterHub Environment: https://oasis.ncics.org (require GitHub user name to sign in).

Moderators
avatar for Douglas Rao

Douglas Rao

Research Scientist, CISESS/NCICS/NCSU
I am currently a Research Scientist at North Carolina Institute for Climate Studies, affiliated with NOAA National Centers for Environmental Information. My current research at NCICS focuses on generating a blended near-surface air temperature dataset by integrating in situ measurements... Read More →
avatar for Jebb Q. Stewart

Jebb Q. Stewart

Acting Division Chief Advanced Technologies Division, NOAA Global Systems Laboratory
Jebb Q. Stewart is the acting lead of the Advanced Technology Division with NOAA's Global System Laboratory in Boulder Colorado and Co-Chair of NOAA's Artificial Intelligence Executive Committee.  With a unique background in both Meteorology and Computer Science, he has over 20 years... Read More →

Tuesday September 6, 2022 1:30pm - 3:00pm MDT
Virtual - Zoom

1:30pm MDT

Ocean Science and Conservation – Form a Community Vision
During this session, we invite participants to join the breakout rooms that are focusing on different topics to identify key challenges and needs to accelerate the adoption of AI for ocean sciences and applications.

Session agenda:

13:30 - 13:35: Welcome and logistics
13:35 - 14:05: Breakout room discussion
14:05 - 14:20: Main room sharing and report out
14:20 - 14:50: Breakout room discussion
14:50 - 15:00: Look ahead and wrap up

Breakout rooms are separated by topics:
1. Passive Acoustics & Telemetry (Facilitator: Bryan Costa)
2. Underwater Imagery (Facilitator: Hanu Singh)
3. Ocean Data & Physical Modeling (Facilitator: Megan Cromwell)
4. Airborne/Space Remote Sensing (Facilitator: Brendan Turley)
5. Environmental, Species & Stock Assessment Modeling (Facilitator: Ben Richards)

Participants can self select which topic room to join.

Notes:
Times above are in Mountain Daylight Time (UTC - 6). Lightning talks are roughly 10-12 minutes each followed by a Q&A with the panel. We will use Slido during the Q&A. We'll use Slack to build community throughout the workshop.

Slido for Q&A: sli.do/OCEAN/

Moderators
avatar for Bryan Costa

Bryan Costa

Research Ecologist, NOAA NCCOS
I graduated from Middlebury College with a joint degree in Biology and Environmental Studies and from the University of Maryland, College Park with an MPS in Geospatial Sciences.  I joined the NOAA’s National Centers for Coastal Ocean Science (NCCOS) in 2005.  Since joining NOAA... Read More →
avatar for Megan Cromwell

Megan Cromwell

Oceanographer, NOAA NCEI
avatar for Benjamin Richards

Benjamin Richards

NOAA AI Executive Committee Co-chair & Bottomfish Survey Lead, NOAA Pacific Island Fisheries Science Center
Dr. Benjamin L. Richards is a Research Fishery Biologist at NOAA’s Pacific Islands Fisheries Science Center, where he leads the bottomfish fish survey team. His work focuses on development of fishery-independent surveys to continually improve the data used in fisheries stock assessment... Read More →

Tuesday September 6, 2022 1:30pm - 3:00pm MDT
Virtual - Zoom

3:00pm MDT

Social Hour
Please join the workshop participants at the Wonder space to share your experiences during the day and discuss any additional ideas/topics that you want to share.

Tuesday September 6, 2022 3:00pm - 4:15pm MDT
Virtual - Zoom
 
Wednesday, September 7
 

9:30am MDT

Plenary - AI For Ocean Science and Conservation
This plenary session provides a high-level overview of the benefits, current status, and needs of AI for ocean sciences including perspectives from NOAA, academia, and industries.

Session agenda:

09:30 - 09:35: Welcome (Douglas Rao, Benjamin Richards)
09:35 - 09:45: Mark Osler (Senior Advisor for Coastal Inundation and Resilience at NOAA's National Ocean Service)
09:45 - 09:55: Evan Howell (Director of the Office of Science and Technology at NOAA Fisheries)
10:00 - 10:10: Margrit Betke (Professor, Boston University)
10:15 - 10:25: Vinay Viswambharan (Principal Product Manager at Esri)
10:30 - 10:40: Anthony Hoogs (Vice President of AI at Kitware)
10:40 - 11:00: Plenary Panel Discussion

Notes:
Times above are in Mountain Daylight Time (UTC - 6). Lightning talks are roughly 10-12 minutes each followed by a Q&A with the panel. We will use Slido during the Q&A. We'll use Slack to build community throughout the workshop.

Slido for Q&A: sli.do/2022AI/

Moderators
avatar for Douglas Rao

Douglas Rao

Research Scientist, CISESS/NCICS/NCSU
I am currently a Research Scientist at North Carolina Institute for Climate Studies, affiliated with NOAA National Centers for Environmental Information. My current research at NCICS focuses on generating a blended near-surface air temperature dataset by integrating in situ measurements... Read More →
avatar for Benjamin Richards

Benjamin Richards

NOAA AI Executive Committee Co-chair & Bottomfish Survey Lead, NOAA Pacific Island Fisheries Science Center
Dr. Benjamin L. Richards is a Research Fishery Biologist at NOAA’s Pacific Islands Fisheries Science Center, where he leads the bottomfish fish survey team. His work focuses on development of fishery-independent surveys to continually improve the data used in fisheries stock assessment... Read More →

Speakers
avatar for Anthony Hoogs

Anthony Hoogs

Vice President of AI, Kitware, Inc.
Dr. Hoogs leads Kitware’s Computer Vision Team, which he founded when he joined Kitware in 2007. For more than two decades, he has supervised and performed research in various areas of computer vision including: event, activity and behavior recognition; motion pattern learning and... Read More →
VV

Vinay Viswambharan

Principle Product Manager, Image Analytics & AI, Esri
avatar for Margrit Betke

Margrit Betke

Professor, Boston University
Margrit Betke is a Professor of Computer Science at Boston University, where she co-leads the Image and Video Computing Research Group. She conducts research in computer vision, in particular, the development of methods for detection, segmentation, registration, and tracking of objects... Read More →
avatar for Mark Olser

Mark Olser

Senior Advisor for Coastal Inundation and Resilience, NOAA's National Ocean Service
avatar for Evan Howell

Evan Howell

Director of the Office of Science and Technology, NOAA Fisheries
Evan Howell is the Director of NOAA Fisheries’ Office of Science and Technology. Most recently, he served as the deputy director for the Pacific Islands Fisheries Science Center, where he led research to better understand critical habitat and possible climate effects on highly migratory... Read More →


Wednesday September 7, 2022 9:30am - 11:00am MDT
Virtual - Zoom

11:00am MDT

Break
Wednesday September 7, 2022 11:00am - 11:30am MDT
Virtual - Zoom

11:30am MDT

Fire Weather and Impacts – Lightning Talks & Use Case Feedback
About Fire Weather and Impact Theme: This year's AI Workshop is piloting a collaboration development activitu modeled after the hackweek which brings participants with different backgrounds together to form collaboration and develop various use cases that are related to research and applications for fire weather and impacts. The core objective of FireWxHack are two-fold:

1. Foster collaboration building in applying AI/ML for fire weather research: Provide opportunities for fire weather researchers and data scientists to develop project ideas on how to use AI/ML and open environmental data for fire weather research & application development.
2. Collect user feedback on open environmental data for AI/ML in fire weather: Collect user feedback on how to improve open environmental data that can accelerate the adoption of AI/ML in fire weather research.
This event is NOT a data science competition and there is no fixed target for each individual team.

Session information:
Lightning talks:
11:35: Christina Kumler (NOAA/GSL/CIRES) – Using Machine Learning as a Tool for Improving Wildfire Intensity Forecasting
11:50: Kyle Hillburn (CSU/CIRA) – The Value of Low Latency Satellite Data for Initializing Coupled Fire Models
12:05: Michael Seablim (NASA) – NASA Wildland Fire Program and FireSense
12:20: Use case daily check in and feedback

Each use case team have five minutes to present use case ideas and get feedback from lightning talk presenters and other workshop participants.

Relevant materials:
1. About FireWxHack: Document summarizing the goal of fire weather theme activities.
2. Introduction slides: Slides used during meet and greet to describe the timeline of fire weather theme.
3. Suggested use cases: These are three suggested use cases with relevant environmental data for fire weather research.
4. JupyterHub Environment: https://oasis.ncics.org (require GitHub user name to sign in).

Moderators
avatar for Jebb Q. Stewart

Jebb Q. Stewart

Acting Division Chief Advanced Technologies Division, NOAA Global Systems Laboratory
Jebb Q. Stewart is the acting lead of the Advanced Technology Division with NOAA's Global System Laboratory in Boulder Colorado and Co-Chair of NOAA's Artificial Intelligence Executive Committee.  With a unique background in both Meteorology and Computer Science, he has over 20 years... Read More →

Speakers
avatar for Kyle Hilburn

Kyle Hilburn

CIRA/CSU
avatar for Christina Kumler

Christina Kumler

CIRES/NOAA/GSL
avatar for Michael Seablom

Michael Seablom

Senior Strategist, Earth Science Division, NASA


Wednesday September 7, 2022 11:30am - 1:00pm MDT
Virtual - Zoom

11:30am MDT

Landscape of Components of DT for Earth System
This session gets to the practical level to talk about how DT4ESs and key components from major institutions and community collaboration could dovetail with each other, leverage each other, be compatible with each other, etc.

Session agenda:
11:30: Welcome / Housekeeping
11:35: Sue Haupt (NCAR): Using AI for Physics Parameterizations and Downscaling to High Resolution
11:50: Karthik Kashinath (NVIDIA): Key components of NVIDIA's Earth-2 Initiative: Progress and Challenges towards building Digital Twin Earths
12:05: Ann Bostrom (University of Washington, AI2ES): Risk communication design principles for responsible and trustworthy Digital Twin Earth systems
12:20: Tiago Quintino (ECMWF): Interoperability Destination Earth
12:35: Q&A
13:00: Session Close

Notes:
Times above are in Mountain Daylight Time (UTC - 6). Lightning talks are roughly 10-12 minutes each followed by a Q&A with the panel. We will use Slido during the Q&A. We'll use Slack to build community throughout the workshop.

Slido for Q&A: sli.do/DIGITALTWIN/

Moderators
avatar for Rob Redmon

Rob Redmon

Scientist, NOAA Center for AI
Dr. Rob Redmon is a senior scientist with NOAA's National Centers for Environmental Information (NCEI). He is the Lead for NOAA's Center for Artificial Intelligence (NCAI, noaa.gov/ai), and the Space Weather Follow On (SWFO) Science Center.

Speakers
avatar for Ann Bostrom

Ann Bostrom

University of Washington
avatar for Sue Ellen Haupt

Sue Ellen Haupt

Senior Scientist and Deputy Director of Research Applications Lab, NCAR
avatar for Tiago Quintino

Tiago Quintino

Head of Development, ECMWF


Wednesday September 7, 2022 11:30am - 1:00pm MDT
Virtual - Zoom

11:30am MDT

Ocean Science and Conservation – Data Needs & Challenges (Part 1)
During this session, we will feature a selection of lightning talks to discuss the data needs and chalenges for applying AI in ocean science and conservation including ongoing effort from the community to advance AI-ready data. These lightning talks will set the stage for the follow-up breakout room discussion.

Session agenda:

11:30 - 11:35: Welcome (Stacie Robinson, Erin Moreland)
11:35 - 11:45: An ML-ish perspective on "getting to know your AI for conservation project" (Dan Morris, Google)
11:40 - 11:50: TBA (Eric Egland, Microsoft)
11:50 - 12:00: Detecting anomalous ocean observations from the ocean’s surface to the seafloor through machine learning (Paige Lavin, UMD/CISESS)
12:00 - 12:10: Underwater column sonar data (Carrie Wall, NOAA/NESDIS/NCEI/CIRES)
12:10 - 12:20: Scientific data integration from uncrewed systems ((Josh) Sage Osborne, UW/CICOES)
12:20 - 12:30: AI and Cloud Developments to Meet the Mission Needs of the NOAA Office of Ocean Exploration (Mashkoor Malik, NOAA/Ocean Exploration)
12:30 - 12:40: Seize the data! Effectively leveraging data annotations to build an accurate machine learning model (Ann Allen, NOAA/PIFSC)
12:40 - 12:50: Working toward a standard for AI-ready data (Stacie Robinson, NOAA/PIFSC)
12:50 - 13:00: Overflow Q&A

Notes:
Times above are in Mountain Daylight Time (UTC - 6). Lightning talks are roughly 10-12 minutes each followed by a Q&A with the panel. We will use Slido during the Q&A. We'll use Slack to build community throughout the workshop.

Slido for Q&A: sli.do/OCEAN/

Moderators
avatar for Erin Moreland

Erin Moreland

Research Zoologist, NOAA Fisheries
I work with the Alaska Fisheries Science Center's Marine Mammal Lab and lead multispectral aerial surveys for seals and polar bears in the Arctic. Our surveys apply deep learning algorithms (YOLO) to multispectral aerial imagery in real time to improve the accuracy and efficiency... Read More →

Speakers
CW

Carrie Wall

Fisheries Acoustic Archive, Univ. of Colorado/NCEI
avatar for Sage Osborne

Sage Osborne

Scientific Software Developer, OAR, PMEL/CICOES
avatar for Ann Allen

Ann Allen

Research Oceanographer, NOAA Fisheries
I use passive acoustic monitoring to assess the health and status of cetacean populations in the Pacific Islands. We have accumulated over 500TB of data and use machine learning tools to identify whale calls in the recordings.
avatar for Dan Morris

Dan Morris

Google AI for Nature and Society
I build AI tools that help conservation scientists spend less time doing boring things.
EE

Eric Egland

Microsoft
avatar for Paige Lavin

Paige Lavin

Postdoctoral research associate, University of Maryland/CISESS
MM

Mashkoor Malik

NOAA Office of Ocean Exploration


Wednesday September 7, 2022 11:30am - 1:00pm MDT
Virtual - Zoom

1:00pm MDT

Ideas Palooza
Join the session in Wonder space here (access code is NOAAAI2022).

To best facilitate the networking and community building during the virtual workshop, we invite organizations, groups, and individuals to propose topics for a 60-minutes virtual exhibition and networking.

- For organizations, you can propose demonstrations of existing products, data, and services that people might be interested in learning about.
- For individuals, you can propose research, application, or discussion topics that you want to connect with other workshop participants.

The virtual booth will be in different virtual circles in the workshop Wonder space.

To propose a topic, fill out this short google form.

Current proposed topics:
1. Ryan Berkheimer (NOAA/NCEI) – A Bidirectional Information Exchange in Support of Standardizing the Digital Twin Earth Framework Specification (DTE-FS)
"The Digital Twin Earth Framework Specification (DTE-FS) is a first-of-its-kind specification that derives a set of axioms and describes formal axiom-based requirements for construction, use, and management of, and participation in, a fully democratic digital twin earth that is grounded by the Group on Earth Observations (GEO) defined principles of syntactic, schematic, semantic, and legal interoperability, and that also fully satisfies the functional requirements of a Digital Twin Earth.
The DTE-FS provides a multi-viewpoint, Web 3.0 (semantic web) treatment of the concept of Digital Twins, and introduces many attractive and novel concepts in support of that treatment. These concepts include a distributed and open-architecture process framework that is fully API exposed for layered construction and user-specific implementation; a 'fuzzy semantics' based knowledge graph for evolutionary governance; fully-declarative two-layer data models for long-term sustainability; and process 'self-ownership' for ensuring security and consent-driven control.
The DTE-FS was organized at NOAA, which maintains organizing authorship, but has been widely circulated for academic and industry review at venues such as the first ever Earth Science Information Partners (ESIP) session on digital twin earth and the recent NSF/Harvard/GMU/UW/NASA/OGC led Spatiotemporal Computing (STC) I/UCRC phase 3 steering workshop that sets the long-term academic priority for national STC research. This virtual booth will provide additional opportunities for discussion and debate around the DTE-FS, as well as an opportunity for potential review and authorship toward a standards publication."

2. Ugur Cayoglu (Simulation and Data Life Cycle Lab Earth System Sciences) – NetCDF visualization in the browser with WASM
I would like to demo our web application for visualizing NetCDF data. It is written in Javascript and Rust. It runs natively on the client side using WASM and has a minimal memory footprint. It supports NetCDF2 and 3. A demo of the application is at https://alpha.datasets.earth/. It would be great to get feedback about the tool and possible collaborators for the development.

3. Chintam Venkateswarlu (Andhra University) – AI for Oceans and related topics

4. Hasan Nawaz (University of the Punjab Pak) – Soumi VIIRS Fire Products
I will demonstrate the importance of fore monitoring in Pakistan and adjoining regions of India during the fire season.

5. Humberto García Montano (UNAN-Managua) – Temperature Anomaly Studies and Lightning Studies

6. Shekhar Guddimath (Aventurine Technologies Inc) – Realtime species detection using Edge AI Cameras
How to use AI/ML on Edge device to detect, annotate and label the species underwater using Edge AI Camera. This will save time on manual annotation.

7. Daria Micovic – AI in Ocean Robotics
Could AI be useful in Ocean Robots? Where could it fit in?

8. Richie Singh (Graphcore) – How Graphcore IPUs can accelerate weather and climate discoveries.
Come and listen to how Graphcore IPUs (Intelligence Processor Units) are being utilized to achieve the next round of machine learning breakthroughs

Wednesday September 7, 2022 1:00pm - 2:00pm MDT
Wonder.me https://app.wonder.me/?spaceId=85f8a4c8-40e1-46da-a1f2-f6b4dfb66f1b

2:00pm MDT

Digital Twin for Earth System – Practical Considerations for Component Interoperability
We will use this session to come up with community ideas for standardization, and gaps in interoperability.

Session agenda:
14:00: Guidance
14:05: Breakout rooms by Component (attendee self selection)
14:40: Main room discussion, sharing from each group
15:00: Session Close

Notes:
Times above are in Mountain Daylight Time (UTC - 6). Lightning talks are roughly 10-12 minutes each followed by a Q&A with the panel. We will use Slido during the Q&A. We'll use Slack to build community throughout the workshop.

Slido for Q&A: sli.do/DIGITALTWIN/
Google Docs for Breakout Rooms

Moderators
avatar for Sue Ellen Haupt

Sue Ellen Haupt

Senior Scientist and Deputy Director of Research Applications Lab, NCAR
avatar for Rob Redmon

Rob Redmon

Scientist, NOAA Center for AI
Dr. Rob Redmon is a senior scientist with NOAA's National Centers for Environmental Information (NCEI). He is the Lead for NOAA's Center for Artificial Intelligence (NCAI, noaa.gov/ai), and the Space Weather Follow On (SWFO) Science Center.

Wednesday September 7, 2022 2:00pm - 3:00pm MDT
Virtual - Zoom

2:00pm MDT

Fire Weather and Impacts – Use Case Development
About Fire Weather and Impact Theme: This year's AI Workshop is piloting a collaboration development activitu modeled after the hackweek which brings participants with different backgrounds together to form collaboration and develop various use cases that are related to research and applications for fire weather and impacts. The core objective of FireWxHack are two-fold:

1. Foster collaboration building in applying AI/ML for fire weather research: Provide opportunities for fire weather researchers and data scientists to develop project ideas on how to use AI/ML and open environmental data for fire weather research & application development.
2. Collect user feedback on open environmental data for AI/ML in fire weather: Collect user feedback on how to improve open environmental data that can accelerate the adoption of AI/ML in fire weather research.
This event is NOT a data science competition and there is no fixed target for each individual team.

Session information:
Use case teams will continue the development during this 60 minutes session.

Relevant materials:
1. About FireWxHack: Document summarizing the goal of fire weather theme activities.
2. Introduction slides: Slides used during meet and greet to describe the timeline of fire weather theme.
3. Suggested use cases: These are three suggested use cases with relevant environmental data for fire weather research.
4. JupyterHub Environment: https://oasis.ncics.org (require GitHub user name to sign in).

Moderators
avatar for Douglas Rao

Douglas Rao

Research Scientist, CISESS/NCICS/NCSU
I am currently a Research Scientist at North Carolina Institute for Climate Studies, affiliated with NOAA National Centers for Environmental Information. My current research at NCICS focuses on generating a blended near-surface air temperature dataset by integrating in situ measurements... Read More →
avatar for Jebb Q. Stewart

Jebb Q. Stewart

Acting Division Chief Advanced Technologies Division, NOAA Global Systems Laboratory
Jebb Q. Stewart is the acting lead of the Advanced Technology Division with NOAA's Global System Laboratory in Boulder Colorado and Co-Chair of NOAA's Artificial Intelligence Executive Committee.  With a unique background in both Meteorology and Computer Science, he has over 20 years... Read More →

Wednesday September 7, 2022 2:00pm - 3:00pm MDT
Virtual - Zoom

2:00pm MDT

Ocean Science and Conservation – Data Needs & Challenges (Part 2)
During this session, attendees will choose a breakout room focusing on specific topics to discuss the requirements of ocean science data to advance the adoption of AI in ocean conservation and sciences.

Session agenda:

14:00 - 14:05: Welcome and logistics
14:05 - 14:45: Breakout room discussion
14:45 - 15:00: Breakout room sharing & wrap up

Breakout rooms are separated by topics:
1. Passive Acoustics & Telemetry (Facilitator: Kathy Broughton)
2. Underwater Imagery (Facilitator: Kathryn Lohr)
3. Ocean Data & Physical Modeling (Facilitator: Jebb Q. Stewart)
4. Airborne/Space Remote Sensing (Facilitator: Erin Moreland)
5. Environmental, Species & Stock Assessment Modeling (Facilitator: Stacie Robinson)

Participants can self select which topic room to join.

Notes:
Times above are in Mountain Daylight Time (UTC - 6). Lightning talks are roughly 10-12 minutes each followed by a Q&A with the panel. We will use Slido during the Q&A. We'll use Slack to build community throughout the workshop.

Slido for Q&A: sli.do/OCEAN/

Moderators
avatar for Erin Moreland

Erin Moreland

Research Zoologist, NOAA Fisheries
I work with the Alaska Fisheries Science Center's Marine Mammal Lab and lead multispectral aerial surveys for seals and polar bears in the Arctic. Our surveys apply deep learning algorithms (YOLO) to multispectral aerial imagery in real time to improve the accuracy and efficiency... Read More →
avatar for Benjamin Richards

Benjamin Richards

NOAA AI Executive Committee Co-chair & Bottomfish Survey Lead, NOAA Pacific Island Fisheries Science Center
Dr. Benjamin L. Richards is a Research Fishery Biologist at NOAA’s Pacific Islands Fisheries Science Center, where he leads the bottomfish fish survey team. His work focuses on development of fishery-independent surveys to continually improve the data used in fisheries stock assessment... Read More →
avatar for Jebb Q. Stewart

Jebb Q. Stewart

Acting Division Chief Advanced Technologies Division, NOAA Global Systems Laboratory
Jebb Q. Stewart is the acting lead of the Advanced Technology Division with NOAA's Global System Laboratory in Boulder Colorado and Co-Chair of NOAA's Artificial Intelligence Executive Committee.  With a unique background in both Meteorology and Computer Science, he has over 20 years... Read More →

Wednesday September 7, 2022 2:00pm - 3:00pm MDT
Virtual - Zoom

3:00pm MDT

Social Hour
Please join the workshop participants at the Wonder space to share your experiences during the day and discuss any additional ideas/topics that you want to share.

Wednesday September 7, 2022 3:00pm - 4:15pm MDT
Virtual - Zoom
 
Thursday, September 8
 

9:30am MDT

Plenary - Building Fire-Ready Communities
This plenary session focus on high-level vision on status, challenges, and future-oriented visions for leveraging AI/ML for fire weather and impacts research.

Session agenda:
09:30: Welcome & announcement (Douglas Rao, Jebb Stewart, Imme Ebert-Uphoff
09:35: Ko Barrett (NOAA Senior Advisor for Climate, Recorded address on Climate Ready Nation)
09:45: Robyn Heffernan (NOAA/National Weather Service)
10:05: Everett Hinkley (US Forest Service)
10:25: Q&A

Slido link for live Q&A: https://sli.do/2022AI

Moderators
avatar for Jebb Q. Stewart

Jebb Q. Stewart

Acting Division Chief Advanced Technologies Division, NOAA Global Systems Laboratory
Jebb Q. Stewart is the acting lead of the Advanced Technology Division with NOAA's Global System Laboratory in Boulder Colorado and Co-Chair of NOAA's Artificial Intelligence Executive Committee.  With a unique background in both Meteorology and Computer Science, he has over 20 years... Read More →

Speakers
avatar for Ko Barrett

Ko Barrett

Senior Advisor for Climate, NOAA
Ko Barrett is NOAA's Senior Advisor for Climate. In this role, Barrett is responsible for providing strategic advice and direction within NOAA to enable the agency to align, integrate, and extend its capabilities to best provide the climate services needed to address the climate challenge... Read More →
RH

Robyn Heffernan

National Fire Weather Science and Dissemination Meteorologist, NOAA
EH

Everett Hinkley

National Remote Sensing Program Manager, US Forest Service


Thursday September 8, 2022 9:30am - 10:45am MDT
Virtual - Zoom

10:45am MDT

Break
Thursday September 8, 2022 10:45am - 11:30am MDT
Virtual - Zoom

11:30am MDT

Digital Twin for Earth System – AI Needs and Challenges for DT Systems
Develop a list of potential roles for AI in DT4ES component evolution.

Session agenda:
11:30     Welcome / Housekeeping
11:35     Dev Niyogi (UT Austin): Urban Digital Twin
11:50     Jonathan Kyle (AWS): Putting Context to Digital Twin Use Cases - Introducing a Leveling Framework
12:05     Dale Durran (UW): Deep Learning Weather Prediction and Earth System Modeling
12:20     Q&A - post your questions to Slack anytime (#04_digital_twin_for_earth_systems)
12:30     Breakout rooms by Component (attendee self selection)
12:55     Main room general discussion
13:00     Session Close

Notes:
Times above are in Mountain Daylight Time (UTC - 6). Lightning talks are roughly 10-15 minutes each followed by a Q&A with the speakers. We'll use Slack to pose questions to the speakers and to build community throughout the workshop.

Moderators
avatar for Rob Redmon

Rob Redmon

Scientist, NOAA Center for AI
Dr. Rob Redmon is a senior scientist with NOAA's National Centers for Environmental Information (NCEI). He is the Lead for NOAA's Center for Artificial Intelligence (NCAI, noaa.gov/ai), and the Space Weather Follow On (SWFO) Science Center.

Speakers
DN

Dev Niyogi

Professor, University of Texas - Austin
DD

Dale Durran

Professor, University of Washington


Thursday September 8, 2022 11:30am - 1:00pm MDT
Virtual - Zoom

11:30am MDT

Fire Weather and Impacts – Use Case Development
About Fire Weather and Impact Theme: This year's AI Workshop is piloting a collaboration development activitu modeled after the hackweek which brings participants with different backgrounds together to form collaboration and develop various use cases that are related to research and applications for fire weather and impacts. The core objective of FireWxHack are two-fold:

1. Foster collaboration building in applying AI/ML for fire weather research: Provide opportunities for fire weather researchers and data scientists to develop project ideas on how to use AI/ML and open environmental data for fire weather research & application development.
2. Collect user feedback on open environmental data for AI/ML in fire weather: Collect user feedback on how to improve open environmental data that can accelerate the adoption of AI/ML in fire weather research.
This event is NOT a data science competition and there is no fixed target for each individual team.

Session information:
This session will use interactive collaboration tools, breakout rooms, and facilitated discussion to help fire weather theme participants to continue the use case development.

Relevant materials:
1. About FireWxHack: Document summarizing the goal of fire weather theme activities.
2. Introduction slides: Slides used during meet and greet to describe the timeline of fire weather theme.
3. Suggested use cases: These are three suggested use cases with relevant environmental data for fire weather research.
4. JupyterHub Environment: https://oasis.ncics.org (require GitHub user name to sign in).

Moderators
avatar for Douglas Rao

Douglas Rao

Research Scientist, CISESS/NCICS/NCSU
I am currently a Research Scientist at North Carolina Institute for Climate Studies, affiliated with NOAA National Centers for Environmental Information. My current research at NCICS focuses on generating a blended near-surface air temperature dataset by integrating in situ measurements... Read More →
avatar for Jebb Q. Stewart

Jebb Q. Stewart

Acting Division Chief Advanced Technologies Division, NOAA Global Systems Laboratory
Jebb Q. Stewart is the acting lead of the Advanced Technology Division with NOAA's Global System Laboratory in Boulder Colorado and Co-Chair of NOAA's Artificial Intelligence Executive Committee.  With a unique background in both Meteorology and Computer Science, he has over 20 years... Read More →

Thursday September 8, 2022 11:30am - 1:00pm MDT
Virtual - Zoom

11:30am MDT

Ocean Science and Conservation Tutorial – Google Cloud: R Workloads in Jupyter Notebooks – Ed Rodgers
T3. Google Cloud: R Workloads in Jupyter Notebooks – Ed Rodgers

A demonstration of running R in Jupyter Notebooks using both user-managed and Google-managed deployments within the Vertex AI service framework.

In this demonstration, I will provide a brief overview of the R kernel within a JupyterLabs server, deploy both user-managed and Google-managed servers in a sandbox environment, and compare them.

Link to the presentation notes: https://docs.google.com/presentation/d/1Y155mytKNgTmn1R-YfO8UbiO4AomLuSmorMxaGn7vpk

Moderators
Thursday September 8, 2022 11:30am - 1:00pm MDT
Virtual - Zoom

11:30am MDT

Ocean Science and Conservation Tutorial – TagLab - the learning pipeline
T2. TagLab - the learning pipeline – Massimiliano Corsini & Gaia Pavoni (Italian National Research Council)

Over the past decade, underwater photogrammetry has become one of the most popular tools for studying coral reefs. Coral demographic studies require the generation of highly accurate semantic segmentations on large area orthoimages (ten to hundreds of square meters). This heavily time-consuming task forces scientists to adopt AI-based labelling solutions. TagLab is an open-source labelling tool designed for ecological applications TagLab enables researchers to annotate efficiently large orthoimages and facilitates the analysis of changes in coral reef ecosystems. In this tutorial we will focus on how to use the assisted annotation tools in TagLab to speed up the semantic segmentation of seafloor and, in particular, on how to create automatic custom classifiers for the data under investigation.

Moderators
MC

Massimiliano Corsini

Senior researcher, CNR - National Research Council
I am one of the developer of TagLab, an Open Source AI-based tool for marine ecology applications.
avatar for Gaia Pavoni

Gaia Pavoni

Research Scientist, CNR - National Research Council
I'm the architect of TagLab, an Open Source AI-based tool for marine ecology applications.

Thursday September 8, 2022 11:30am - 1:00pm MDT
Virtual - Zoom

11:30am MDT

Ocean Science and Conservation Tutorial – VIAME 101 (Basics)
T1. VIAME 101 (Basics) – Matt Dawkins, Bryon Lewis (Kitware)

VIAME is an open-source computer vision software platform that was developed by Kitware in cooperation with NOAA’s Automated Image Analysis Strategic Initiative. It contains web, desktop, and command line interfaces covering a range of tasks including video/image annotation, object detection, object tracking, video search and rapid model generation, full frame classification, image registration and mosaicing, camera calibration, stereo measurement, and 3D scene modelling. This tutorial will cover the basics of VIAME including a short overview presentation, followed by an interactive tutorial on its public web (or desktop, for those who prefer it) client covering a typical object detection workflow such as annotation, model training, model inference, and model re-training.

Moderators
avatar for Matt Dawkins

Matt Dawkins

Kitware
avatar for Bryon Lewis

Bryon Lewis

Kitware

Thursday September 8, 2022 11:30am - 1:00pm MDT
Virtual - Zoom

1:00pm MDT

Break
Thursday September 8, 2022 1:00pm - 1:30pm MDT
Virtual - Zoom

1:30pm MDT

Ocean Science and Conservation Tutorial – VIAME-Web in the NOAA Fisheries Google Cloud
T4. VIAME-Web in the NOAA Fisheries Google Cloud – Sam Woodman

**NOTE: Users interested in following along that do not already have a GCP project should request access to Qwiklabs using this Google Form. Qwiklabs is a hands-on learning platform that provides temporary credentials to a Google Cloud Platform project, in this case allowing you to practice deploying VIAME-Web in GCP during and after this training. The Qwiklabs environment will be active until Saturday, September 10, 2022 9:00AM EDT.**

VIAME is an open-source computer vision software platform that was developed by Kitware in cooperation with NOAA’s Automated Image Analysis Strategic Initiative. Kitware hosts a public deployment of VIAME-Web, but this deployment has limited computing resources shared across all users and cannot connect to NOAA Google Cloud Storage (GCS) buckets because of NOAA Fisheries Cloud security requirements. The solution to this problem is for users to deploy their own instance of VIAME-Web in their own GCP project. This training will walk users through the GitHub repo viame-web-noaa-gcp, which includes docs with NOAA-specific instructions on deploying, provisioning, and accessing GCP resources, as well as general instructions and guidelines on managing the VIAME-Web deployment. This training is tailored for NOAA users, but much of it will also be applicable to any users looking to deploy their own instance of VIAME-Web in GCP.

Users that already have a GCP project should ideally install and configure the Google Cloud CLI on their local machine before the training. Interested parties without a GCP project can pre-register for a Qwiklabs environment via this form to follow along with the training, but are also welcome to simply watch the training to gain familiarity with the viame-web-noaa-gcp repo and docs, managing resources with Terraform, and VIAME-Web admin options."

Presntation link

Moderators
avatar for Sam Woodman

Sam Woodman

Biologist, NOAA SWFSC AERD

Thursday September 8, 2022 1:30pm - 2:30pm MDT
Virtual - Zoom

1:30pm MDT

Digital Twin for Earth System – AI Needs and Challenges for DT Systems (II)
Explore potential roles for AI in enabling DT4ES interoperability. Explore communicating benefits and limitations of DT4ES ecosystems.

Session agenda:
13:30: Main room discussion, sharing from each group from morning session
13:50: Breakout rooms by Component (attendee self selection)
14:30: Main room discussion, sharing from each group
15:00: Session Close

Google Docs for Breakout Rooms

Notes:
Times above are in Mountain Daylight Time (UTC - 6). We'll use Slack to build community throughout the workshop.

Moderators
avatar for Eric Kihn

Eric Kihn

Division Chief, NOAA NCEI
avatar for Rob Redmon

Rob Redmon

Scientist, NOAA Center for AI
Dr. Rob Redmon is a senior scientist with NOAA's National Centers for Environmental Information (NCEI). He is the Lead for NOAA's Center for Artificial Intelligence (NCAI, noaa.gov/ai), and the Space Weather Follow On (SWFO) Science Center.

Thursday September 8, 2022 1:30pm - 3:00pm MDT
Virtual - Zoom

1:30pm MDT

Fire Weather and Impacts – Use Case Development
About Fire Weather and Impact Theme: This year's AI Workshop is piloting a collaboration development activitu modeled after the hackweek which brings participants with different backgrounds together to form collaboration and develop various use cases that are related to research and applications for fire weather and impacts. The core objective of FireWxHack are two-fold:

1. Foster collaboration building in applying AI/ML for fire weather research: Provide opportunities for fire weather researchers and data scientists to develop project ideas on how to use AI/ML and open environmental data for fire weather research & application development.
2. Collect user feedback on open environmental data for AI/ML in fire weather: Collect user feedback on how to improve open environmental data that can accelerate the adoption of AI/ML in fire weather research.
This event is NOT a data science competition and there is no fixed target for each individual team.

Session information:
This session will use interactive collaboration tools, breakout rooms, and facilitated discussion to help fire weather theme participants to continue the use case development.

Relevant materials:
1. About FireWxHack: Document summarizing the goal of fire weather theme activities.
2. Introduction slides: Slides used during meet and greet to describe the timeline of fire weather theme.
3. Suggested use cases: These are three suggested use cases with relevant environmental data for fire weather research.
4. JupyterHub Environment: https://oasis.ncics.org (require GitHub user name to sign in).

Moderators
avatar for Douglas Rao

Douglas Rao

Research Scientist, CISESS/NCICS/NCSU
I am currently a Research Scientist at North Carolina Institute for Climate Studies, affiliated with NOAA National Centers for Environmental Information. My current research at NCICS focuses on generating a blended near-surface air temperature dataset by integrating in situ measurements... Read More →
avatar for Jebb Q. Stewart

Jebb Q. Stewart

Acting Division Chief Advanced Technologies Division, NOAA Global Systems Laboratory
Jebb Q. Stewart is the acting lead of the Advanced Technology Division with NOAA's Global System Laboratory in Boulder Colorado and Co-Chair of NOAA's Artificial Intelligence Executive Committee.  With a unique background in both Meteorology and Computer Science, he has over 20 years... Read More →

Thursday September 8, 2022 1:30pm - 3:00pm MDT
Virtual - Zoom

1:30pm MDT

Ocean Science and Conservation Tutorial – Make your data "AI-ready": A hands-on data assessment activity
T6A. Make your data "AI-ready": A hands-on data assessment activity (Acoustics data) – Tyler Christensen, Dan Woodrich
T6B. Make your data "AI-ready": A hands-on data assessment activity (Imagery data) –  Stacie Robinson, Erin Moreland

Data wrangling can be one of the most time-consuming components at the outset of a new AI-project. Having data that is high-quality, well-documented, easily accessible, and annotated can streamline application in AI/ML models and make data more open and valuable to collaborators. In this tutorial we will familiarize participants with characteristics of AI-ready data using this AI-Readiness Checklist. We will evaluate datasets to identify information gaps in data documentation and challenges in data preparation. We will also ask participants to provide feedback on the checklist. Participants are encouraged to come with their own datasets (only metadata is necessary) or download metadata for publically available datasets such as NOAA's Climate Data Records.

Use this link to make a copy of the AI-readiness assessment worksheet. Once copied, you can rename the worksheet with your name or dataset name.

Moderators
avatar for Tyler Christensen

Tyler Christensen

Data Management Architect, NOAA / NESDIS
avatar for Erin Moreland

Erin Moreland

Research Zoologist, NOAA Fisheries
I work with the Alaska Fisheries Science Center's Marine Mammal Lab and lead multispectral aerial surveys for seals and polar bears in the Arctic. Our surveys apply deep learning algorithms (YOLO) to multispectral aerial imagery in real time to improve the accuracy and efficiency... Read More →

Thursday September 8, 2022 1:30pm - 3:00pm MDT
Virtual - Zoom

1:30pm MDT

Ocean Science and Conservation Tutorial – Tator - AI Assisted Video Analysis
T7. Tator - AI Assisted Video Analysis – Benjamin Woodward (CVision AI)

This tutorial will cover the ability of Tator to enable rich analysis of video using custom metadata and platform sensor data, as well as integration of algorithms for tasks such as detection, tracking, and classification. In addition, we will cover integration with third-party algorithm APIs, as well as examples of simple visual trackers, color correction algorithms, and QA/QC workflows.

Moderators
avatar for Benjamin Woodward

Benjamin Woodward

CEO, CVision AI

Thursday September 8, 2022 1:30pm - 3:00pm MDT
Virtual - Zoom

2:30pm MDT

Ocean Science and Conservation Tutorial – VIAME 201 (Advanced)
T5. VIAME 201 (Advanced) – Matt Dawkins, Bryon Lewis (Kitware)

This tutorial will briefly cover some of the more advanced features of the VIAME toolkit such as AI-assisted annotation, stereo measurement, video search and rapid model generation, model parameter tuning, image enhancement, detector ensembles, and the different forms of object trackers in the system.

Moderators
avatar for Matt Dawkins

Matt Dawkins

Kitware
avatar for Bryon Lewis

Bryon Lewis

Kitware

Thursday September 8, 2022 2:30pm - 3:00pm MDT
Virtual - Zoom

3:00pm MDT

Social Hour
Please join the workshop participants at the Wonder space to share your experiences during the day and discuss any additional ideas/topics that you want to share.

Thursday September 8, 2022 3:00pm - 4:15pm MDT
Virtual - Zoom
 
Friday, September 9
 

9:30am MDT

Closing Plenary - Ethical and Responsible AI
This plenary session provides a high-level overview of the needs, current status, and challenges of developing ethical and responsible AI applications for environmental sciences.

Session agenda:

09:30 - 09:35: Welcome (Douglas Rao, Amy McGovern)
09:35 - 10:00: David Danks (UC San Diego)
10:00 - 10:25: Christine Custis (Partnership on AI)
10:25 - 10:45: Plenary Panel Discussion

Notes:
Times above are in Mountain Daylight Time (UTC - 6). Lightning talks are roughly 10-12 minutes each followed by a Q&A with the panel. We will use Slido during the Q&A. We'll use Slack to build community throughout the workshop.

Slido for Q&A: sli.do/2022AI/

Moderators
avatar for Amy McGovern

Amy McGovern

Professor & Director, NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography

Speakers
avatar for David Danks

David Danks

Professor, University of California San Diego
Dr. David Danks is Professor of Data Science & Philosophy at University of California, San Diego. He has examined the ethical, psychological, and policy issues around AI and robotics in transportation, healthcare, privacy, and security. He currently serves on multiple advisory boards... Read More →
avatar for Christine Custis

Christine Custis

Director of Programs and Research, Partnership on AI
Dr. Christine Custis is the Director of Programs and Research at the Partnership on AI where her work focuses on managing PAI’s portfolio of research and programs, ensuring coordination of program pilots and outputs, and delivering measurable results that align with our theory of... Read More →


Friday September 9, 2022 9:30am - 10:45am MDT
Virtual - Zoom

10:45am MDT

Break
Friday September 9, 2022 10:45am - 11:30am MDT
Virtual - Zoom

11:30am MDT

Digital Twin for Earth System – Community Roadmap and Future Steps
We'll explore overarching questions and summarize the discussions we’ve had throughout the week to form a community vision for an interoperable DT4ES ecosystem. How can our vision evolve to ensure compatibility, interoperability, standard interfaces, etc?

Session agenda:
11:30: Guidance
11:40: Breakout Discussion (10-15 persons/room, randomly assigned)
12:20: Main room discussion, sharing from each group over entire week
13:00: Session and DT4ES Workshop Theme Close

Google Doc for Breakout Rooms

Notes:
Times above are in Mountain Daylight Time (UTC - 6). We'll use Slack to build community throughout the workshop.


Moderators
avatar for Rob Redmon

Rob Redmon

Scientist, NOAA Center for AI
Dr. Rob Redmon is a senior scientist with NOAA's National Centers for Environmental Information (NCEI). He is the Lead for NOAA's Center for Artificial Intelligence (NCAI, noaa.gov/ai), and the Space Weather Follow On (SWFO) Science Center.

Friday September 9, 2022 11:30am - 1:00pm MDT
Virtual - Zoom

11:30am MDT

Fire Weather and Impacts – Use Case Sharing & Next Steps
About Fire Weather and Impact Theme: This year's AI Workshop is piloting a collaboration development activitu modeled after the hackweek which brings participants with different backgrounds together to form collaboration and develop various use cases that are related to research and applications for fire weather and impacts. The core objective of FireWxHack are two-fold:

1. Foster collaboration building in applying AI/ML for fire weather research: Provide opportunities for fire weather researchers and data scientists to develop project ideas on how to use AI/ML and open environmental data for fire weather research & application development.
2. Collect user feedback on open environmental data for AI/ML in fire weather: Collect user feedback on how to improve open environmental data that can accelerate the adoption of AI/ML in fire weather research.
This event is NOT a data science competition and there is no fixed target for each individual team.

Session information:
This session will give participating teams the opportunity to summarize the development experience during the workshop and share feedback about the development process. All participants will also discuss the next steps for the development.

Relevant materials:
1. About FireWxHack: Document summarizing the goal of fire weather theme activities.
2. Introduction slides: Slides used during meet and greet to describe the timeline of fire weather theme.
3. Suggested use cases: These are three suggested use cases with relevant environmental data for fire weather research.
4. JupyterHub Environment: https://oasis.ncics.org (require GitHub user name to sign in).

Moderators
avatar for Douglas Rao

Douglas Rao

Research Scientist, CISESS/NCICS/NCSU
I am currently a Research Scientist at North Carolina Institute for Climate Studies, affiliated with NOAA National Centers for Environmental Information. My current research at NCICS focuses on generating a blended near-surface air temperature dataset by integrating in situ measurements... Read More →
avatar for Jebb Q. Stewart

Jebb Q. Stewart

Acting Division Chief Advanced Technologies Division, NOAA Global Systems Laboratory
Jebb Q. Stewart is the acting lead of the Advanced Technology Division with NOAA's Global System Laboratory in Boulder Colorado and Co-Chair of NOAA's Artificial Intelligence Executive Committee.  With a unique background in both Meteorology and Computer Science, he has over 20 years... Read More →

Friday September 9, 2022 11:30am - 1:00pm MDT
Virtual - Zoom

11:30am MDT

Ocean Science and Conservation – Community Roadmap & Future Steps
This final session for the ocean theme will have a mix of lightning talks and breakout discussions to form a community roadmap on how to advance the adoption of AI in research and operations for ocean conservation and sciences. Participants will be invited to contribute to a community whitepaper to summarize the discussion.

Session Agenda:

11:30 - 11:35: Welcome
11:35 - 11:40: An Unconstrained Look to the Future: Using Simulation for Data Collection (Casey Sapp, Blue Ring Imaging)
11:45 - 11:55: How AI Enables a National Operational Coastal Webcam Network (Greg Dusek, NOAA/NOS/CO-OPS)
12:00 - 12:10: TBA (Grace Young, X, the moonshot factory)
12:15 - 12:25: Migrating AI Workflows from On-Premises Processing to a Cloud Computing Platform: Things to Consider (Michael Schwartz, Brandon Krumwiede)
12:30 - 12:40: R2X and AI2ES: Discussion of Paths to Trustworthy AI Operational Models (Philppe Tissot, John Williams)
12:45 - 12:55: Maxar imagery for AI applications (Manny Gonzalez-Rivero, Francois Smith)
12:55 - 13:25: Breakout room discussion on next steps

Breakout rooms are separated by topics:
1. Passive Acoustics & Telemetry
2. Underwater Imagery
3. Ocean Data & Physical Modeling
4. Airborne/Space Remote Sensing
5. Environmental, Species & Stock Assessment Modeling

Participants can self select which topic room to join.

Notes:
Times above are in Mountain Daylight Time (UTC - 6). Lightning talks are roughly 10-12 minutes each followed by a Q&A with the panel. We will use Slido during the Q&A. We'll use Slack to build community throughout the workshop.

Slido for Q&A: sli.do/OCEAN/

Moderators
avatar for Christin Khan

Christin Khan

Fishery Biologist, NOAA Fisheries
Innovating right whale research: using AI to automate photo-id in partnership with Kaggle, Deepsense, and Flukebook; exploring the operational use of very high-resolution satellite imagery for assessing marine mammal abundance and distribution with BOEM, the Office of Naval Research... Read More →
avatar for Benjamin Richards

Benjamin Richards

NOAA AI Executive Committee Co-chair & Bottomfish Survey Lead, NOAA Pacific Island Fisheries Science Center
Dr. Benjamin L. Richards is a Research Fishery Biologist at NOAA’s Pacific Islands Fisheries Science Center, where he leads the bottomfish fish survey team. His work focuses on development of fishery-independent surveys to continually improve the data used in fisheries stock assessment... Read More →

Speakers
avatar for Greg Dusek

Greg Dusek

Senior Scientist, NOAA/National Ocean Services
avatar for Grace Young

Grace Young

X, The Moonshot Factory
avatar for Philippe Tissot

Philippe Tissot

Chair, Coastal Artificial Intelligence, Texas A&M University-Corpus Christi, Conrad Blucher Institute
Dr. Tissot is the Conrad Blucher Institute Chair for Coastal Artificial Intelligence at Texas A&M University-Corpus Christi and a Co-PI for the National Science Foundation Artificial Intelligence Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography... Read More →


Friday September 9, 2022 11:30am - 1:30pm MDT
Virtual - Zoom

1:00pm MDT

Social Hour
Please join the workshop participants at the Wonder space to share your experiences during the day and discuss any additional ideas/topics that you want to share.

Friday September 9, 2022 1:00pm - 2:15pm MDT
Virtual - Zoom
 
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