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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.

Registration for the workshop is closed and this page is viewable to registered participants only. Please do not share your access code publicly.
Tuesday, September 7 • 8:00am - Friday, September 10 • 2:00pm
Hackathon kick-off

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The hackathon is jointly organized with the Climate Informatics community (climateinformatics.org).

The 3rd NOAA AI Workshop and Climate Informatics community invite you to join this virtual joint hackathon event to use data science methods to address climate and environmental challenges.
This year we have three hackathon topics in collaboration with different research groups. The three topics include:
  • Colorado wildfire risk estimation (w/ Earth Lab at University of Colorado, Boulder): this hackathon challenge invite data science solutions to estimate the risk of wildfire damages to human settlements/buildings in Colorado using weather information, topology, development density, and vegetation data;
  • Marine heatwave prediction (w/ Columbia University): this hackathon challenge seeks innovative ways to understand the relationship between weather and surface mixed layer factors and the onset and end of marine heatwave events using historical climatology data;
  • Climate model emulation (w/ Oxford University): this hackathon challenge aims to use data science methods to predict annual mean global distributions of temperature and precipitation given emissions and concentrations of key anthropogenic climate forcers: SO2, BC, CH4, and CO2.

All participants are invited to form interdisciplinary groups with fellow attendees to tackle one or more of these challenges. All teams are invited to submit their solutions to these challenges to the public competition at CodaLab (https://codalab.org/). Instructions for how to submit to CodaLab will be provided after the kickoff of the event.

The winning teams will be invited to share their hackathon results at the closing day of the workshop at the Hackathon Showcase session.

To attend the hackathon, simply register for the workshop event using this google form prior to the hackathon event.

avatar for Duncan Watson-Parris

Duncan Watson-Parris

Postdoctoral Researcher, University of Oxford
avatar for Douglas Rao

Douglas Rao

Cooperative Institute for Satellite and Earth System Studies, North Carolina State University

Tuesday September 7, 2021 8:00am - Friday September 10, 2021 2:00pm MDT
Zoom N/A