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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.
avatar for Colleen Marciel Rosales

Colleen Marciel Rosales

OpenAQ
Strategic Partnership Director
Bloomington, IN
Colleen has a PhD in Environmental Science with over ten years of experience in indoor and outdoor air pollution. Besides her scientific work, which includes being published, Colleen is skilled in data analysis and programming, project management, giving presentations, digital communications and technical writing, and relationship building. She is currently completing a postdoc with the Air Quality Research Center at University of California Davis. At Indiana University Bloomington, she taught and managed projects involving research groups from many universities from 2016 through 2021. Prior to that, Colleen worked or interned with the Aerosol Technology Monitoring Lab at the Gwangju Institute of Science and Technology in South Korea, the Institute of Environmental Science & Meteorology and Institute of Chemistry at the University of the Philippines, Clean Air Asia, and the Philippine Nuclear Research Institute. In her spare time Colleen fundraises for her undergraduate school in the Philippines and promotes climate policy with her local Citizens’ Climate Lobby chapter in Indiana.

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Web: OpenAQ.org
GitHub: github.com/openaq
Slack: openaq.slack.com
Twitter: @openaq
Tuesday, September 6
 

12:00am MDT

9:30am MDT

11:30am MDT

1:30pm MDT

3:00pm MDT

 
Wednesday, September 7
 

9:30am MDT

11:30am MDT

1:00pm MDT

2:00pm MDT

3:00pm MDT

 
Thursday, September 8
 

9:30am MDT

 
Friday, September 9
 

9:30am MDT

 
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