Ändringar
7 oktober 2025 17.49.57 UTC,
-
Lade till taggen LRGV Flood Collection till Sites & Stories Application
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| 9 | "license_title": "Creative Commons Attribution", | 9 | "license_title": "Creative Commons Attribution", | ||
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| 12 | "maintainer_email": "", | 12 | "maintainer_email": "", | ||
| 13 | "metadata_created": "2025-08-27T04:53:48.929877", | 13 | "metadata_created": "2025-08-27T04:53:48.929877", | ||
| n | 14 | "metadata_modified": "2025-09-13T18:25:18.056539", | n | 14 | "metadata_modified": "2025-10-07T17:49:56.986758", |
| 15 | "name": "interactive-sites-stories", | 15 | "name": "interactive-sites-stories", | ||
| 16 | "notes": "Based on the annual report, here are the significant | 16 | "notes": "Based on the annual report, here are the significant | ||
| 17 | results for the Sites & Stories Application and AI approaches that | 17 | results for the Sites & Stories Application and AI approaches that | ||
| 18 | Suzanne Pierce and Texas Advanced Computing Center contributed | 18 | Suzanne Pierce and Texas Advanced Computing Center contributed | ||
| 19 | to:\r\n\r\n## 1. Deployed Scalable AI-Enabled Analytical | 19 | to:\r\n\r\n## 1. Deployed Scalable AI-Enabled Analytical | ||
| 20 | Infrastructure\r\n\r\nThe Sites & Stories (S&S) application advanced | 20 | Infrastructure\r\n\r\nThe Sites & Stories (S&S) application advanced | ||
| 21 | from testing to full deployment as a reusable tool on Texas Advanced | 21 | from testing to full deployment as a reusable tool on Texas Advanced | ||
| 22 | Computing Center Resources. The system now provides cross-scale | 22 | Computing Center Resources. The system now provides cross-scale | ||
| 23 | applications of Natural Language Processing, topic modeling, and Large | 23 | applications of Natural Language Processing, topic modeling, and Large | ||
| 24 | Language Model capabilities through a science gateway data portal that | 24 | Language Model capabilities through a science gateway data portal that | ||
| 25 | enables analyses at scale with HPC and GPU compute. LLM tools were | 25 | enables analyses at scale with HPC and GPU compute. LLM tools were | ||
| 26 | successfully incorporated into the S&S application suite with open and | 26 | successfully incorporated into the S&S application suite with open and | ||
| 27 | reproducible access as of June 2024.\r\n\r\n## 2. Validated | 27 | reproducible access as of June 2024.\r\n\r\n## 2. Validated | ||
| 28 | Field-Ready Data Collection and Analysis Capabilities \r\n\r\nThe | 28 | Field-Ready Data Collection and Analysis Capabilities \r\n\r\nThe | ||
| 29 | team completed 25 performance field tests in Nunapitchuk to evaluate | 29 | team completed 25 performance field tests in Nunapitchuk to evaluate | ||
| 30 | the Sites & Stories data collection and ingest services using | 30 | the Sites & Stories data collection and ingest services using | ||
| 31 | variations in hardware, software, and data catalog capabilities. These | 31 | variations in hardware, software, and data catalog capabilities. These | ||
| 32 | tests demonstrated the system's ability to function in remote Arctic | 32 | tests demonstrated the system's ability to function in remote Arctic | ||
| 33 | environments while supporting both interview data collection and drone | 33 | environments while supporting both interview data collection and drone | ||
| 34 | terrain data processing. The application successfully automated | 34 | terrain data processing. The application successfully automated | ||
| 35 | analytical approaches with AI to connect qualitative and quantitative | 35 | analytical approaches with AI to connect qualitative and quantitative | ||
| 36 | knowledge in well-defined workflows.\r\n\r\n## 3. Advanced Semantic | 36 | knowledge in well-defined workflows.\r\n\r\n## 3. Advanced Semantic | ||
| 37 | Linking and Automated Knowledge Integration\r\n\r\nThe S&S application | 37 | Linking and Automated Knowledge Integration\r\n\r\nThe S&S application | ||
| 38 | was enhanced with semantic linking mechanisms to automate | 38 | was enhanced with semantic linking mechanisms to automate | ||
| 39 | identification of relevant data collections and models for locally | 39 | identification of relevant data collections and models for locally | ||
| 40 | identified stakeholder problems. The system now enables semantic | 40 | identified stakeholder problems. The system now enables semantic | ||
| 41 | linking of stakeholder interview information with digital terrain | 41 | linking of stakeholder interview information with digital terrain | ||
| 42 | models, creating culturally-informed technical resources. This | 42 | models, creating culturally-informed technical resources. This | ||
| 43 | advancement allows for automated connection of community knowledge | 43 | advancement allows for automated connection of community knowledge | ||
| 44 | with scientific models and observational data.\r\n\r\n## 4. | 44 | with scientific models and observational data.\r\n\r\n## 4. | ||
| 45 | Demonstrated Transferability and Scalability Across | 45 | Demonstrated Transferability and Scalability Across | ||
| 46 | Contexts\r\n\r\nThe capabilities were successfully replicated and | 46 | Contexts\r\n\r\nThe capabilities were successfully replicated and | ||
| 47 | tested for transferability in the Rio Grande Valley of Texas, proving | 47 | tested for transferability in the Rio Grande Valley of Texas, proving | ||
| 48 | the system's applicability beyond Arctic contexts. The S&S application | 48 | the system's applicability beyond Arctic contexts. The S&S application | ||
| 49 | was deployed for broad use by researchers with training provided to | 49 | was deployed for broad use by researchers with training provided to | ||
| 50 | large research teams and community partners. The system is now fully | 50 | large research teams and community partners. The system is now fully | ||
| 51 | scalable, reusable, and easily modified across different settings and | 51 | scalable, reusable, and easily modified across different settings and | ||
| 52 | use cases.\r\n\r\n## 5. Established Reusable Computational Cookbook | 52 | use cases.\r\n\r\n## 5. Established Reusable Computational Cookbook | ||
| 53 | Framework \r\n\r\nAI-enabled analytical workflows are now available | 53 | Framework \r\n\r\nAI-enabled analytical workflows are now available | ||
| 54 | across multiple scales, from individual narrative analysis through | 54 | across multiple scales, from individual narrative analysis through | ||
| 55 | Natural Language Processing computational cookbooks to topical | 55 | Natural Language Processing computational cookbooks to topical | ||
| 56 | analysis using BERTtopic cookbook, plus open-ended analysis tools | 56 | analysis using BERTtopic cookbook, plus open-ended analysis tools | ||
| 57 | using four Large Language Foundation Model options on TACC systems. | 57 | using four Large Language Foundation Model options on TACC systems. | ||
| 58 | These workflows provide mechanisms for linking lived experience | 58 | These workflows provide mechanisms for linking lived experience | ||
| 59 | information with observational data and physics-based models in | 59 | information with observational data and physics-based models in | ||
| 60 | convergent applications, with the full code base and reusable products | 60 | convergent applications, with the full code base and reusable products | ||
| 61 | available via Science Gateway applications and GitHub.", | 61 | available via Science Gateway applications and GitHub.", | ||
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| 131 | "description": "This is a presentation slide deck that | 131 | "description": "This is a presentation slide deck that | ||
| 132 | summarizes the state of features and capabilities developed as | 132 | summarizes the state of features and capabilities developed as | ||
| 133 | decision support systems. The slides walkthrough a demo and | 133 | decision support systems. The slides walkthrough a demo and | ||
| 134 | description of analyzing qualitative data using natural language | 134 | description of analyzing qualitative data using natural language | ||
| 135 | processing and large language modeling tools on the science gateways | 135 | processing and large language modeling tools on the science gateways | ||
| 136 | portals. Additionally, features for an interactive annotation | 136 | portals. Additionally, features for an interactive annotation | ||
| 137 | interface that allows users to label and describe text tracebacks to | 137 | interface that allows users to label and describe text tracebacks to | ||
| 138 | interviews or corpora on an interactive 3D terrain data representation | 138 | interviews or corpora on an interactive 3D terrain data representation | ||
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