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<strong>Meeting summary for DesignSafe Release/Management Meeting (04/21/2025)</strong>
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<strong>Quick recap</strong>
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The team discussed the progress of Spark and the brainstorming for DesignSafe 3.0, with a focus on expanding the adoption of designsafe to new communities dealing with hazards like wildfires, tsunamis, and coastal issues. They also explored the potential of using Kaggle to reach a broader audience in AI and machine learning, and the need for better data management. Lastly, they discussed the best methods for training new users on Designsafe, the potential for a technical challenge competition or benchmarking data sets, and the announcement of dataset award winners.
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<strong>Next steps</strong>
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• Clinton to set up a meeting with Krishna, Tim, and Ellen to discuss Spark program details.
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• Natalie to schedule a meeting with Clinton, Krishna, Ellen, and Eric for next Wednesday at 9 AM to discuss Adcirc documentation.
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• Tim to finalize Spark participant selection with Krishna and Ellen this week.
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• Ellen to reach out to wildfire research leaders to explore potential collaboration with DesignSafe.
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• Clinton and Eric to develop end-to-end Adcirc documentation for DesignSafe, including data retrieval, model running, and result publishing.
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• Tim to craft response for Spark applicants who were not accepted, highlighting available resources and support.
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• Ellen to announce dataset award winners on the website and consider LinkedIn for broader outreach.
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• DesignSafe team to develop short, focused training materials (documentation, videos) on DesignSafe basics and specific tools.
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<strong>Summary</strong>
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<strong>Spark Progress and DesignSafe Brainstorming</strong>
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In the meeting, Ellen discussed the progress of Spark and the brainstorming for DesignSafe 3.0. She also mentioned an email from Joy regarding the proposal process, which is expected to be finalized by the end of the month. Tim shared his analysis of the Spark scores, indicating a good number of candidates with high scores. The team also discussed the possibility of forming cohorts based on topical themes.
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<strong>Faculty Training and Technical Challenges</strong>
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In the meeting, Ellen, Scott, Tim, and Dan discussed the applicant pool for a program, noting a majority were PhD students with a few postdocs and assistant professors. They considered the possibility of online training for faculty to enhance their knowledge transfer to students. Tim mentioned the need for access to high-performance computing and the creation of a response for applicants who didn't get accepted. The team also discussed the potential for faculty to become design ambassadors and the continuation of the computational symposium. A technical challenge competition or benchmarking data sets were proposed, with a focus on partnerships and the use of data in design safe.
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<strong>Structural Deformation Prediction via Opensea's Dataset</strong>
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Krishna discussed the initial idea of structural deformation prediction based on Opensea's dataset, which was brought to them by Mohsen. They are working on creating Jupyter notebooks to fetch data from designsafe and are planning to create a similar training repository. They are also creating Jupyter environments to pre-install PyTorch and other tools. Krishna mentioned that they will have all this ready by mid-May and then launch the competition. They also discussed the possibility of hosting the competition through Kaggle, either through the free, self-hosted version or the paid version, which is expensive.
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<strong>Kaggle for AI and Machine Learning</strong>
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Ellen and Maria discussed the potential of using Kaggle to reach a broader audience in AI and machine learning. Maria expressed interest in understanding data reuse and improving organization, particularly with rapid datasets. Ellen agreed and suggested further discussion on the topic. Scott raised concerns about the underutilization of Lidar data, while Krishna proposed using Gaussian splats to create 3D models from images and videos, potentially comparing them to Lidar data.
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<strong>Dataset Award Winners Announcement Strategy</strong>
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In the meeting, Ellen, Maria, Scott, Clinton, and Natalie discussed the announcement of dataset award winners. They agreed that the winners should be announced sooner rather than waiting for a story to be written, and that a short announcement on LinkedIn could be more effective. They also discussed the possibility of allowing the winners to review the description of their project on the website. Natalie was tasked with informing Jorge about the decision not to write a story and to proceed with the website update.
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<strong>Expanding Designsafe to Hazard Communities</strong>
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In the meeting, Ellen discussed the need to expand the adoption of designsafe to new communities, particularly those dealing with hazards like wildfires, tsunamis, and coastal issues. She suggested reaching out to leaders in these communities to understand their needs and how designsafe could serve them. Clinton emphasized the importance of having expertise in these areas and the need for better data management. Dan highlighted the challenges of real-time data response in wildfire scenarios and the potential for deeper modeling efforts. Scott proposed reaching out to leaders in these communities to understand their unaddressed gaps and tools they are using. The team also discussed the potential for collaboration with atmospheric scientists and the need for targeted meetings with specific communities.
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<strong>Designsafe Training Methods Discussion</strong>
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The team discussed the best methods for training new users on Designsafe. They considered the effectiveness of written documentation, videos, and hands-on workshops. The team agreed that a mix of these methods would be ideal, with written documentation and short video snippets being particularly useful for beginners. They also discussed the need for a repository of Designsafe basics and the importance of understanding who attends their webinars to tailor the content accordingly. The team also discussed the possibility of creating a series of tutorials for specific software like Adcirc, covering topics from data file setup to publishing results.
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<strong>Schedule Meeting With Eric</strong>
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In the meeting, Clinton, Ellen, and Natalie discussed scheduling a meeting with Eric, who is 7 hours ahead. They considered various times, including Wednesday and Thursday of the following week, but ultimately decided on Wednesday at 9 AM. They also discussed the possibility of Ellen's flight schedule. The team agreed to set up the meeting for the following week.
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AI-generated content may be inaccurate or misleading. Always check for accuracy.
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