This event has ended. Create your own event on Sched.
Data to Decisions: Putting NOAA Data to Work 
Virtual workshop  August 17-21, 2020

Please sign-up for the 2020 EDMW Mailing List to ensure you receive all workshop announcements. There is no registration fee for this year’s EDM Workshop, attendees do need to register for the plenary each day at the links below.  Further workshop details and FAQs can be found in the Meeting Info page below. If you have additional questions, please email the planning team: edmw.planning.team@noaa.gov.

Make sure to check out the 2020 EDMW Social Activities! -> Social Activities Awards Presentation

Satellite Photo Challenge Results and Answers

Back To Schedule
Thursday, August 20 • 11:30am - 1:00pm
5C: AI For Environmental Data Management

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Feedback form is now closed.
Link to Recording: link to video file on Google Drive
Slides: presentations folder on Google Drive

Chair: Jebb Stewart

Advances in computing power through new generation Graphical Processing Unit’s (GPU), the availability of data, and the generation of new software libraries have made Machine Learning (ML) and Artificial Intelligence (AI) more accessible to diverse fields including medicine, self-driving cars, and social media. These technologies are seeing a significant increase in applicability and research has shown certain ML algorithms have several advantages over traditional methods, including improving execution speed, stability, and accuracy. There are a variety of areas where AI/ML techniques can be applied in the environmental data management ecosystem. These include efficient and intelligent signal and image processing; quality control mechanisms; pattern recognition; anomaly detection; data fusion; mapping; and prediction. Share your experiences or vision of using AI to help environmental data management techniques.

Presentations (abstracts in this Google Doc):
  1. Tackling challenges of Ocean Exploration with Machine Learning and Artificial Intelligence 
    Mashkoor Malik, Megan Cromwell, Kasey Cantwell, Matt Dornback, Philip Hoffman
  2. Machine Learning Application to Small Data: A Case Study Using Ocean Carbon Time Series 
    Roman Battisti, Adrienne Sutton, Sylvia Musielewicz, Stacy Maenner, John Osborne, John Evans, Randy Bott, Sean Dougherty
  3. A satellite-based daily near-surface temperature data records for the Tibetan Plateau 
    Yuhan (Douglas) Rao, Shunlin Liang, Dongdong Wang, Yunyue Yu
  4. What is "AI-Ready" Open Data? 
    Tyler Christensen, Cassandra Ladino, Deirdre Clarkin, Bob Williams 

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 →


Mashkoor Malik

Physical Scientist, OAR OER
avatar for Yuhan (Douglas) Rao

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 →
avatar for Tyler Christensen

Tyler Christensen

Data Management Architect, NOAA / NESDIS

Thursday August 20, 2020 11:30am - 1:00pm EDT