Name: 1B: Building AI-Ready NOAA: Early Success, AI-ready Data, and Workforce Development
Start: 2022-09-12T12:00:00-0400
End: 2022-09-12T13:30:00-0400

2022 NOAA ENVIRONMENTAL DATA MANAGEMENT WORKSHOP

Envisioning the Future of the NOAA Data Enterprise

September 12-16, 2022

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Thank you for your interest in the 2022 NOAA EDMW. The Workshop is over, but we’re excited to announce that the session recordings are available! Just click on a session, then under the Description section click on the "Session Recording Here" link. Be patient, it can take up to 20-30 seconds for the video to display.

The Workshop featured a diverse group of sessions and presentations that cover NOAA’s strategic goals. In addition, ‘Workshop Wednesday’ provided multiple opportunities to learn about techniques, tools, and experiences that help us achieve our data and strategic goals.

We would like to especially thank everyone who submitted sessions and abstracts! This workshop wouldn’t be possible without the great submissions from our colleagues!

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1B: Building AI-Ready NOAA: Early Success, AI-ready Data, and Workforce Development

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Session Recording Here

Artificial intelligence (AI) accelerates scientific discovery in Earth and environmental sciences. In 2020, NOAA Science Council released the NOAA AI Strategy to guide the adoption of AI in every mission area by improving the efficiency, effectiveness, and coordination of AI development and usage. To bridge efforts across the agency, NOAA Center for AI (NCAI) strives to coordinate research and development (R&D) efforts to increase AI adoption across NOAA mission areas. NCAI is actively working with different NOAA Line Offices and external partners to advance strategic goals outlined by NOAA AI Strategy. This session has two main goals: 1) showcase current AI projects across LOs to expand NOAA AI Community of Practice and highlight synergistic opportunities around AI R&D in NOAA, and 2) discuss NCAI initiatives on AI-ready data and workforce development and collect feedback from the broad NOAA community on the needs and challenges in AI R&D.

Session Agenda (all time listed in Eastern Daylight Time):

12:00 – 12:05: Welcome and session purpose
12:05 – 12:20: Rob Redmon (NCAI Lead) & Jebb Stewart (NOAA AI Exective Committee Co-chair, OAR/GSL) - "Progress Toward an AI-Ready Agency"
12:20 – 12:50: Lightning Talks: AI early success (8 mins each + 2 mins Q&A).
- Erin Moreland (NMFS/AFSC) - "Pushing Ice Seal Surveys to the Edge: Automated Detection in the Arctic"
- Greg Dusek (NOS/CO-OPS) - "Operationalizing a ML-Based Probabilistic National Rip Current Model"
- Monte Flora (OU/CIWRO) - "Probabilistic Prediction of Thunderstorm Hazards using the NOAA Warn-on-Forecast System and Machine Learning"
12:50 – 13:00: Chris Slocum (NESIDS/STAR) - "NCAI Training Initiative"
13:00 – 13:10: Stacie Robinson (NMFS/PIFSC) - "NCAI AI-Ready Data initiative"
13:10 – 13:25 Q&A (All speakers)
13:25 – 13:30 Wrap up and how to stay engaged with NCAI

Moderators

Yuhan (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 →

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

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 →

Monte Flora

Research Scientist I, CIWRO/NSSL

My work is largely based on the NOAA-funded Warn-on-Forecast project; an effort to provide rapidly updating probabilistic severe weather hazard guidance for human forecasters. I am the lead developer of the WoFS-ML-Severe products, which provide storm-based probabilistic guidance... Read More →

Greg Dusek

Senior Scientist, NOAA/National Ocean Services

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 →