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About the workshop

This virtual workshop is a continuation of the NOAA series of workshops on “Leveraging AI in Environmental Sciences.” The third event continues the successes of previous workshops and encourages participation by scientists, program managers, and leaders from the public, academic and private sectors who work in AI and environmental sciences. The theme for this year’s workshop is “Transforming Weather, Climate Services, and Blue Economy with Artificial Intelligence.” This year’s workshop is led by the NOAA Center for Artificial Intelligence (NCAI), a program in the formulation stage.

All time listed on this page is Mountain Time (UTC-6) by default. You can change to your local time zone on the right side of this page. Questions regarding the workshop can be addressed to ai.workshop@noaa.gov. View the participant handbook for how to navigate the workshop technology platforms.

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Monday, September 13 • 10:45am - 12:15pm
Session 1A: Community of Practice & Workforce Development

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Chair: Kirstine Dale

10.45 - 10.48:    Welcome
10.50 - 11.10:    Stephen Haddad – Embedding Data Science at the Met Office through a Community of Practice
11.12 - 11.22:    Mesut Akdere – The Global Artificial Intelligence Transformation and Its Implications for Workforce Development & Education
11.24 - 11.34:    Amy McGovern  – Update from the NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography
11.36 - 11.46:    David John Gagne  – The NCAR Analytics and Integrative Machine Learning Group: Research Overview
11.48 - 11.58:    Andrew Neang – Assembling heterogenous data for machine learning: A communities of practice perspective
12.00 - 12.10:    Isaac Passmore  – Mission Operations Assistant (MOA) - Community Driven A.I. for Satellite Operations
12.10 - 12.15: Q+A

Slack channel: #05_community-of-practice-workforce-dev


Kirstine Dale

Principal Fellow/Co-Director for Joint Centre for Excellence in Environmental Intelligence, UK Met Office


Andrew Neang

PhD Student, University of Washington
Andrew's work focuses on the sociotechnical practices of data-intensive collaborative knowledge work of domain scientists. He is particularly interested in how the situated and collaborative practices of assembling and using constellations of available software and platforms are transforming... Read More →
avatar for David John Gagne

David John Gagne

ML Scientist II, NCAR
I am a ML Scientist II and head of the Machine Integration and Learning for Earth Systems (MILES) group at the National Center for Atmospheric Research (NCAR).
avatar for Stephen Haddad

Stephen Haddad

Data Science Research Manager, Met Office
Stephen’s main research areas are around data engineering and machine learning applications.He has a background in:• data science• software development• climate research.Stephen is excited about the potential for efficient, intuitive software and data tools to accelerateresearch... Read More →
avatar for Amy McGovern

Amy McGovern

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

Isaac Passmore

Sr. Principal Systems Engineer, ASRC Federal DNC
I am the team lead of an A.I. product development team creating MOA - the Mission Operations Assistant tool being designed to help operate modern satellite & complex ground system infrastructures. I have worked as a satellite & ground system engineer for 8+ years and helped launch... Read More →

Monday September 13, 2021 10:45am - 12:15pm MDT
Zoom N/A