Abstract Submission Form

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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.

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:

1. AI for Weather & Climate
2. AI for Blue Economy
3. Workforce Development & Education
4. Research-to-Operation/Commercialization (R2X) for AI
5. Trustworthy & Responsible AI in Environmental Sciences
6. Seamless AI system
7. Community of Practices
8. Tools, Resources, and Datasets

More information about the workshop can be found at the workshop page (https://2021noaaaiworkshop.sched.com/info).

Email *

Name *

Institution *

This workshop will be a hybrid event if the public health guideline permits. What is your preferred way to participate in the workshop? (In accordance to public health guidelines, the in-person capacity at Boulder, CO may be limited. In-person participation cannot be guaranteed for everyone.) *

In-person

Virtual

Either

Abstract Title *

Abstract (no more than 1,500 characters) *

Please list your co-authors if applicable.

Please select what topics your abstract are relevant to. You can choose up to three most relevant topics. *

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 system – 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 Practices – 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, and 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.

Required

What's your preferred presentation formats (check at least one)? The planning team will try to accommodate participants' preference but it cannot be guaranteed. *

Live oral presentation

Live poster presentation

Pre-recorded presentation (recorded talk less than 15 minutes)

Required

Please choose your time zone in case the event will be fully virtual (a decision will be made in mid-June). You can find your time zone here (https://www.timeanddate.com/time/map/). *

Are you a student or early-career professional? *

Undergraduate student

Graduate student

Early-career professional (within seven years after your terminal degree)

None of the above

A copy of your responses will be emailed to the address you provided.

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