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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Wednesday, September 7 • 11:30am - 1:00pm
Ocean Science and Conservation – Data Needs & Challenges (Part 1)

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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

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/

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 →


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.

Eric Egland

avatar for Paige Lavin

Paige Lavin

Postdoctoral research associate, University of Maryland/CISESS

Mashkoor Malik

NOAA Office of Ocean Exploration

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