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| 26 | "description": "The Hydro-Resilience project aims to improve the | 26 | "description": "The Hydro-Resilience project aims to improve the | ||
| 27 | ability to forecast hydro-climatic extremes, such as droughts and | 27 | ability to forecast hydro-climatic extremes, such as droughts and | ||
| 28 | floods, and to develop, test and evaluate the use of citizen and open | 28 | floods, and to develop, test and evaluate the use of citizen and open | ||
| 29 | science methodologies to build water resilience against climate change | 29 | science methodologies to build water resilience against climate change | ||
| 30 | and improve water management in pilot countries of Sub-Saharan Africa | 30 | and improve water management in pilot countries of Sub-Saharan Africa | ||
| 31 | and Latin America.\r\n\r\nIn particular, it aims to\r\n\u2022 Enhance | 31 | and Latin America.\r\n\r\nIn particular, it aims to\r\n\u2022 Enhance | ||
| 32 | capabilities on hydro-climate vulnerability and water resilience | 32 | capabilities on hydro-climate vulnerability and water resilience | ||
| 33 | management\r\n\u2022 Promote knowledge generation and validation | 33 | management\r\n\u2022 Promote knowledge generation and validation | ||
| 34 | through citizen and open science\r\n\u2022 Support the implementation | 34 | through citizen and open science\r\n\u2022 Support the implementation | ||
| 35 | of bottom-up approaches to climate change adaptation using Climate | 35 | of bottom-up approaches to climate change adaptation using Climate | ||
| 36 | Risk Informed Decision Analysis (CRIDA)\r\n\u2022 Supporting | 36 | Risk Informed Decision Analysis (CRIDA)\r\n\u2022 Supporting | ||
| 37 | hydro-climatic risk management strategies and policies in pilot | 37 | hydro-climatic risk management strategies and policies in pilot | ||
| 38 | countries", | 38 | countries", | ||
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| 67 | "modified": "2025-04-11", | 68 | "modified": "2025-04-11", | ||
| 68 | "name": "applications-of-ai-for-water-management", | 69 | "name": "applications-of-ai-for-water-management", | ||
| 69 | "notes": "This publication reviews the current state-of-the-art of | 70 | "notes": "This publication reviews the current state-of-the-art of | ||
| 70 | AI and Machine Learning (ML) applications within water management, | 71 | AI and Machine Learning (ML) applications within water management, | ||
| 71 | introducing some of the main concepts and providing the | 72 | introducing some of the main concepts and providing the | ||
| 72 | reader with a general understanding of different technologies | 73 | reader with a general understanding of different technologies | ||
| 73 | and concepts. Further, it features examples of the most influential | 74 | and concepts. Further, it features examples of the most influential | ||
| 74 | applications of AI within water management and highlights the ethical | 75 | applications of AI within water management and highlights the ethical | ||
| 75 | challenges when streamlining AI for water resources management.", | 76 | challenges when streamlining AI for water resources management.", | ||
| 76 | "notes_translated": { | 77 | "notes_translated": { | ||
| 77 | "en": "This publication reviews the current state-of-the-art of AI | 78 | "en": "This publication reviews the current state-of-the-art of AI | ||
| 78 | and Machine Learning (ML) applications within water management, | 79 | and Machine Learning (ML) applications within water management, | ||
| 79 | introducing some of the main concepts and providing the | 80 | introducing some of the main concepts and providing the | ||
| 80 | reader with a general understanding of different technologies | 81 | reader with a general understanding of different technologies | ||
| 81 | and concepts. Further, it features examples of the most influential | 82 | and concepts. Further, it features examples of the most influential | ||
| 82 | applications of AI within water management and highlights the ethical | 83 | applications of AI within water management and highlights the ethical | ||
| 83 | challenges when streamlining AI for water resources management.", | 84 | challenges when streamlining AI for water resources management.", | ||
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| 89 | "organization": { | 90 | "organization": { | ||
| 90 | "approval_status": "approved", | 91 | "approval_status": "approved", | ||
| 91 | "created": "2023-09-30T19:14:02.098737", | 92 | "created": "2023-09-30T19:14:02.098737", | ||
| 92 | "description": "The UNESCO Intergovernmental Hydrological | 93 | "description": "The UNESCO Intergovernmental Hydrological | ||
| 93 | Programme (IHP), founded in 1975 following the International | 94 | Programme (IHP), founded in 1975 following the International | ||
| 94 | Hydrological Decade (1965-1974), is the only intergovernmental | 95 | Hydrological Decade (1965-1974), is the only intergovernmental | ||
| 95 | cooperation programme of the UN system dedicated to water research and | 96 | cooperation programme of the UN system dedicated to water research and | ||
| 96 | management, and related education and capacity development. It | 97 | management, and related education and capacity development. It | ||
| 97 | addresses national, regional, and global water challenges, by | 98 | addresses national, regional, and global water challenges, by | ||
| 98 | supporting the development of sustainable and resilient societies. | 99 | supporting the development of sustainable and resilient societies. | ||
| 99 | Expanding a holistic understanding of water, improving technical | 100 | Expanding a holistic understanding of water, improving technical | ||
| 100 | capabilities, and enhancing human and institutional capacities are | 101 | capabilities, and enhancing human and institutional capacities are | ||
| 101 | IHP\u2019s main tools. IHP\u2019s work supports sound, evidence-based | 102 | IHP\u2019s main tools. IHP\u2019s work supports sound, evidence-based | ||
| 102 | water governance and decision-making drawing on transdisciplinary | 103 | water governance and decision-making drawing on transdisciplinary | ||
| 103 | science and technology other knowledge systems.", | 104 | science and technology other knowledge systems.", | ||
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| 109 | "state": "active", | 110 | "state": "active", | ||
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| 152 | "title": "Applications of AI for water management", | 160 | "title": "Applications of AI for water management", | ||
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| 154 | "en": "Applications of AI for water management", | 162 | "en": "Applications of AI for water management", | ||
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