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/
