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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.
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Wednesday, September 7 • 1:00pm - 2:00pm
Ideas Palooza

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Join the session in Wonder space here (access code is NOAAAI2022).

To best facilitate the networking and community building during the virtual workshop, we invite organizations, groups, and individuals to propose topics for a 60-minutes virtual exhibition and networking.

- For organizations, you can propose demonstrations of existing products, data, and services that people might be interested in learning about.
- For individuals, you can propose research, application, or discussion topics that you want to connect with other workshop participants.

The virtual booth will be in different virtual circles in the workshop Wonder space.

To propose a topic, fill out this short google form.

Current proposed topics:
1. Ryan Berkheimer (NOAA/NCEI) – A Bidirectional Information Exchange in Support of Standardizing the Digital Twin Earth Framework Specification (DTE-FS)
"The Digital Twin Earth Framework Specification (DTE-FS) is a first-of-its-kind specification that derives a set of axioms and describes formal axiom-based requirements for construction, use, and management of, and participation in, a fully democratic digital twin earth that is grounded by the Group on Earth Observations (GEO) defined principles of syntactic, schematic, semantic, and legal interoperability, and that also fully satisfies the functional requirements of a Digital Twin Earth.
The DTE-FS provides a multi-viewpoint, Web 3.0 (semantic web) treatment of the concept of Digital Twins, and introduces many attractive and novel concepts in support of that treatment. These concepts include a distributed and open-architecture process framework that is fully API exposed for layered construction and user-specific implementation; a 'fuzzy semantics' based knowledge graph for evolutionary governance; fully-declarative two-layer data models for long-term sustainability; and process 'self-ownership' for ensuring security and consent-driven control.
The DTE-FS was organized at NOAA, which maintains organizing authorship, but has been widely circulated for academic and industry review at venues such as the first ever Earth Science Information Partners (ESIP) session on digital twin earth and the recent NSF/Harvard/GMU/UW/NASA/OGC led Spatiotemporal Computing (STC) I/UCRC phase 3 steering workshop that sets the long-term academic priority for national STC research. This virtual booth will provide additional opportunities for discussion and debate around the DTE-FS, as well as an opportunity for potential review and authorship toward a standards publication."

2. Ugur Cayoglu (Simulation and Data Life Cycle Lab Earth System Sciences) – NetCDF visualization in the browser with WASM
I would like to demo our web application for visualizing NetCDF data. It is written in Javascript and Rust. It runs natively on the client side using WASM and has a minimal memory footprint. It supports NetCDF2 and 3. A demo of the application is at https://alpha.datasets.earth/. It would be great to get feedback about the tool and possible collaborators for the development.

3. Chintam Venkateswarlu (Andhra University) – AI for Oceans and related topics

4. Hasan Nawaz (University of the Punjab Pak) – Soumi VIIRS Fire Products
I will demonstrate the importance of fore monitoring in Pakistan and adjoining regions of India during the fire season.

5. Humberto García Montano (UNAN-Managua) – Temperature Anomaly Studies and Lightning Studies

6. Shekhar Guddimath (Aventurine Technologies Inc) – Realtime species detection using Edge AI Cameras
How to use AI/ML on Edge device to detect, annotate and label the species underwater using Edge AI Camera. This will save time on manual annotation.

7. Daria Micovic – AI in Ocean Robotics
Could AI be useful in Ocean Robots? Where could it fit in?

8. Richie Singh (Graphcore) – How Graphcore IPUs can accelerate weather and climate discoveries.
Come and listen to how Graphcore IPUs (Intelligence Processor Units) are being utilized to achieve the next round of machine learning breakthroughs

Wednesday September 7, 2022 1:00pm - 2:00pm MDT
Wonder.me https://app.wonder.me/?spaceId=85f8a4c8-40e1-46da-a1f2-f6b4dfb66f1b