This hybrid 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.” As a hybrid event, in-person capacity at Boulder will be limited in accordance with the most recent public health guideline while the virtual event will be open broadly to the public.
Call for Abstracts
The workshop is currently accepting abstracts relevant to the theme of this year’s workshop until June 18, 2021. The major topics that will be covered by this workshop include:
AI for Weather & Climate: Using AI to advance the understanding of weather and climate systems and improve the capability to predict extreme events and future changes.
AI for Blue Economy: Using AI to enhance all sectors of the American Blue Economy, such as fishery stock assessment, efficient marine resource surveys, automated data acquisition and analysis, image processing, coastal resilience planning, and protection of the marine ecosystem.
Workforce Development & Education: Development and educational activities to promote workforce proficiency and increase workforce diversity around AI.
Research-to-Operation/Commercialization (R2X) for AI: Examples and lessons learned on how to transfer AI-based research into operational and/or commercial products.
Trustworthy & Responsible AI in Environmental Sciences: Tools and case studies to address the ethical concerns of AI applications in environmental sciences and their societal impacts, such as explainable AI and risk communication.
Seamless AI Systems: Development of end-to-end AI-based systems that provide workflows, products, and/or services to build customized AI applications for end-users.
Community of Practice: Strategies and examples of how to organize communities of practice around AI in environmental sciences to accelerate the adoption of AI and the collaborations with communities of practice that are relevant to other NOAA’s Science and Technology focus areas.
Tools, Resources & Datasets: Development of open source tools, resources, and datasets to improve the efficiency and efficacy of AI applications in environmental sciences, such as deep learning tools, reference datasets for AI application benchmarking, and AI-ready data development.
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