{
  "name": "Coastal Erosion Risk Assessment and Adaptation: The Case of Le Signal and AquaAdapt's AI-Driven Solution",
  "description": "A comprehensive discussion on coastal erosion risks, the failure of foresight in urban planning exemplified by the demolition of Le Signal building, and the development of AquaAdapt, an AI-driven platform designed to provide actionable, high-resolution, and scenario-based risk assessments for coastal decision-makers such as mayors, insurers, and developers.",
  "query": "coastal erosion risks case studies AI-driven risk assessment tools for urban planning climate change adaptation strategies",
  "children": [
    {
      "name": "Le Signal Building Case Study",
      "description": "Le Signal was a residential building constructed 200 meters from the ocean in Soulac-sur-Mer, France. It was demolished in 2023 due to severe coastal erosion, displacing 78 families. The case exemplifies the failure of foresight in coastal urban planning and highlights the predictable yet unaddressed risks of building in low-elevation coastal zones.",
      "query": "Le Signal building Soulac-sur-Mer demolition coastal erosion case study France 2023",
      "children": [
        {
          "name": "Coastal Erosion Characteristics",
          "description": "Coastal erosion is a gradual process that can accelerate suddenly, often without clear prior warning. It results in the loss of land along coastlines due to natural forces such as waves, currents, and rising sea levels, exacerbated by climate change.",
          "query": "coastal erosion causes mechanisms sudden acceleration examples",
          "children": [
            {
              "name": "Erosion Rates and Projections",
              "description": "Historical and projected erosion rates vary significantly based on location and climate scenarios. For example, in Nouvelle-Aquitaine, France, erosion rates accelerated from 4.3 meters per year (1997-2021) to 8 meters per year under current conditions. A single storm in 2013-2014 removed 40 meters of land, exceeding projections for 2040.",
              "query": "coastal erosion rates historical data projections Nouvelle-Aquitaine France storm impacts",
              "children": [
                {
                  "name": "Impact of Climate Scenarios on Erosion",
                  "description": "Erosion projections depend heavily on climate scenarios, such as those outlined by the IPCC. For instance, in Soulac-sur-Mer, under a low-emission scenario, 58 meters of coastline could be lost in 50 years, while under a high-emission scenario, this loss could reach 118 meters, with the parcel potentially disappearing entirely in 100 years.",
                  "query": "IPCC climate scenarios impact on coastal erosion projections low vs high emission scenarios",
                  "children": [],
                  "sources": [
                    {
                      "title": "sciencedirect.com/science/article/pii/S0959378016300681",
                      "url": "https://www.sciencedirect.com/science/article/pii/S0959378016300681"
                    },
                    {
                      "title": "Sea level rise and coastal flood risk maps -- a global screening tool by...",
                      "url": "https://coastal.climatecentral.org/"
                    },
                    {
                      "title": "New Study Forecasts Dramatic Beach Erosion... | Washington Spectator",
                      "url": "https://washingtonspectator.org/beach-erosion-valentino/"
                    }
                  ]
                }
              ],
              "sources": [
                {
                  "title": "NHESS - A geospatial database of coastal characteristics for erosion...",
                  "url": "https://nhess.copernicus.org/articles/26/1685/2026/"
                },
                {
                  "title": "sciencedirect.com/science/article/abs/pii/S0747563213000800",
                  "url": "https://www.sciencedirect.com/science/article/abs/pii/S0747563213000800"
                },
                {
                  "title": "Coastal erosion too fast for continents to be millions of years old",
                  "url": "https://creation.com/en/articles/erosion-too-fast"
                }
              ]
            }
          ],
          "sources": [
            {
              "title": "What is coastal erosion and why is it dangerous?",
              "url": "https://www.yahoo.com/news/weather-news/articles/coastal-erosion-why-dangerous-012830986.html"
            },
            {
              "title": "Coastal Erosion Natural Phenomena",
              "url": "https://www.pinterest.com/ideas/coastal-erosion-natural-phenomena/931008436928/"
            },
            {
              "title": "(PDF) Coastal erosion: causes and examples from Greece",
              "url": "https://www.researchgate.net/publication/281206621_Coastal_erosion_causes_and_examples_from_Greece"
            }
          ]
        },
        {
          "name": "Global Implications of Coastal Erosion",
          "description": "By 2050, approximately 1 billion people (nearly one in eight globally) are projected to live in low-elevation coastal zones exposed to rising sea levels and erosion. This poses significant risks to infrastructure, livelihoods, and communities worldwide.",
          "query": "global coastal population at risk 2050 sea level rise low-elevation coastal zones statistics",
          "children": [],
          "sources": [
            {
              "title": "Study triples global estimates of population threatened by sea level...",
              "url": "https://www.climatecentral.org/press-release-flooded-future?ref=ryanlcooper.com"
            },
            {
              "title": "42m people to be hit by 2050 | The Daily Star",
              "url": "https://www.thedailystar.net/frontpage/news/42m-people-be-hit-2050-1821115"
            },
            {
              "title": "Global sea level rise worse than previously understood | PreventionWeb",
              "url": "https://www.preventionweb.net/news/report-flooded-future-global-vulnerability-sea-level-rise-worse-previously-understood"
            }
          ]
        },
        {
          "name": "Policy and Planning Failures",
          "description": "The demolition of Le Signal highlights systemic failures in coastal planning and policy. Many local governments lack the tools and data to accurately assess risks, leading to decisions made without adequate foresight or scenario-based planning.",
          "query": "coastal urban planning failures policy gaps risk assessment tools case studies",
          "children": [],
          "sources": [
            {
              "title": "Urban planning, design and management approaches to building ...",
              "url": "https://www.tandfonline.com/doi/full/10.1080/23748834.2024.2364491"
            },
            {
              "title": "Coastal urban flood risk management: Challenges and opportunities",
              "url": "https://www.sciencedirect.com/science/article/pii/S0022169424016676"
            },
            {
              "title": "Progress and gaps in climate change adaptation in coastal cities ...",
              "url": "https://www.nature.com/articles/s44284-024-00106-9"
            }
          ]
        }
      ],
      "sources": [
        {
          "title": "Quantifying soil surface erosion",
          "url": "https://comptes-rendus.academie-sciences.fr/physique/item/10.5802/crphys.225.pdf"
        },
        {
          "title": "st geran coastal project draws strong opposition - Facebook",
          "url": "https://www.facebook.com/groups/309957813402131/posts/1382434842821084/"
        },
        {
          "title": "Insights From Managed Retreat Projects in Europe - AGU Journals",
          "url": "https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2025EF007012"
        }
      ]
    },
    {
      "name": "Current Tools for Coastal Risk Assessment",
      "description": "Existing tools for assessing coastal risks are often inadequate for decision-makers. They are typically designed for researchers, requiring months of processing, specialized teams for interpretation, and lack the resolution, timeliness, and scenario-based insights needed for practical decision-making.",
      "query": "limitations of current coastal risk assessment tools GIS challenges for decision-makers",
      "children": [
        {
          "name": "Data Gaps and Limitations",
          "description": "Current tools provide limited data, often in the form of spreadsheets or rough estimates without timelines, scenarios, or address-specific insights. This leaves decision-makers, such as mayors, without the granular information needed to plan effectively for coastal risks.",
          "query": "coastal risk assessment data gaps limitations for local governments examples",
          "children": [],
          "sources": [
            {
              "title": "Coastal risk adaptation: the potential role of accessible geospatial ...",
              "url": "https://www.sciencedirect.com/science/article/pii/S0308597X17301756"
            },
            {
              "title": "The Climate and Ocean Risk Vulnerability Index - Stimson Center",
              "url": "https://www.stimson.org/2020/corvi-report-climate-and-ocean-risk-vulnerability-index/"
            },
            {
              "title": "Preparing for Rising Seas: How the State Can Help Support Local ...",
              "url": "https://lao.ca.gov/Publications/Report/4121"
            }
          ]
        },
        {
          "name": "GIS Expertise Barriers",
          "description": "Geographic Information Systems (GIS) are commonly used for mapping and risk assessment but require specialized expertise to operate and interpret. This creates a barrier for non-experts, such as mayors or insurers, who need accessible and actionable data.",
          "query": "GIS barriers for non-experts coastal risk assessment challenges",
          "children": [],
          "sources": [
            {
              "title": "thelancet.com/journals/lanpub/article/PIIS2468-2667(22)00317-6/fulltext",
              "url": "https://www.thelancet.com/journals/lanpub/article/PIIS2468-2667(22)00317-6/fulltext"
            },
            {
              "title": "Flood risk assessment for Davao Oriental in the Philippines using...",
              "url": "https://pismin.com/10.1111/jfr3.12607"
            },
            {
              "title": "(PDF) A geographic information system and remote sensing to...",
              "url": "https://www.academia.edu/31261817/A_geographic_information_system_and_remote_sensing_to_support_community_based_coastal_hazards_planning_in_the_Netarts_Littoral_Cell_Oregon"
            }
          ]
        }
      ],
      "sources": [
        {
          "title": "Geographic information system - Wikipedia",
          "url": "https://en.wikipedia.org/wiki/Geographic_information_system"
        },
        {
          "title": "Flood risk assessment for Davao Oriental in the Philippines using...",
          "url": "https://pismin.com/10.1111/jfr3.12607"
        },
        {
          "title": "(PDF) CityGML in the Integration of BIM and the GIS: Challenges and...",
          "url": "https://www.researchgate.net/publication/372333895_CityGML_in_the_Integration_of_BIM_and_the_GIS_Challenges_and_Opportunities"
        }
      ]
    },
    {
      "name": "AquaAdapt: AI-Driven Coastal Risk Assessment Platform",
      "description": "AquaAdapt is an AI-driven platform designed to bridge the gap between coastal risk data and decision-makers. It leverages satellite imagery, climate projections, and coastal physics to provide high-resolution, scenario-based risk assessments for specific parcels, enabling informed decision-making for mayors, insurers, developers, and planners.",
      "query": "AquaAdapt AI coastal risk assessment platform features use cases",
      "children": [
        {
          "name": "Data Sources and Methodology",
          "description": "AquaAdapt utilizes satellite imagery dating back to 1972, combined with climate projections and coastal physics models. AI algorithms analyze this data to generate high-resolution, scenario-based risk assessments for specific parcels over various time horizons (10, 30, 50, and 100 years).",
          "query": "satellite imagery for coastal erosion monitoring AI climate projections coastal physics models",
          "children": [
            {
              "name": "Satellite Imagery for Coastal Monitoring",
              "description": "Satellites have been photographing coastlines since 1972, providing decades of data on coastal changes. This historical imagery is critical for training AI models to predict future erosion patterns and risks.",
              "query": "historical satellite imagery for coastal monitoring erosion tracking examples",
              "children": [],
              "sources": [
                {
                  "title": "A harmonized framework to assess coastal erosion blending ...",
                  "url": "https://www.frontiersin.org/journals/environmental-science/articles/10.3389/fenvs.2025.1602740/full"
                },
                {
                  "title": "Benchmarking satellite-derived shoreline mapping algorithms",
                  "url": "https://www.nature.com/articles/s43247-023-01001-2"
                },
                {
                  "title": "Combining optical and SAR satellite data to monitor coastline ...",
                  "url": "https://www.sciencedirect.com/science/article/pii/S0924271625001844"
                }
              ]
            },
            {
              "name": "AI and Machine Learning in Risk Assessment",
              "description": "AquaAdapt employs AI and machine learning to analyze satellite data, climate projections, and coastal physics. The platform is designed to learn from historical trends and generate probabilistic risk assessments with quantified uncertainty.",
              "query": "AI machine learning applications in coastal risk assessment probabilistic modeling",
              "children": [],
              "sources": [
                {
                  "title": "Machine Learning in Coastal Engineering: Applications ... - MDPI",
                  "url": "https://www.mdpi.com/2077-1312/12/4/638"
                },
                {
                  "title": "Artificial intelligence applications in coastal engineering ...",
                  "url": "https://www.sciencedirect.com/science/article/pii/S0278434325000251"
                },
                {
                  "title": "AI-Enhanced Coastal Flood Risk Assessment: A Real-Time Web ...",
                  "url": "https://www.mdpi.com/2073-4441/17/15/2231"
                }
              ]
            }
          ],
          "sources": [
            {
              "title": "Satellite monitoring for coastal dynamic adaptation policy pathways",
              "url": "https://www.sciencedirect.com/science/article/pii/S2212096323000815"
            },
            {
              "title": "The future of coastal monitoring through satellite remote sensing",
              "url": "https://www.cambridge.org/core/journals/cambridge-prisms-coastal-futures/article/future-of-coastal-monitoring-through-satellite-remote-sensing/CEDC8CD6260C8FA6E10DD148AE50BF4E"
            },
            {
              "title": "Computer Vision & Remote Sensing - Climate Change AI",
              "url": "https://www.climatechange.ai/subject_areas/computer_vision_remote_sensing"
            }
          ]
        },
        {
          "name": "Platform Features and Outputs",
          "description": "AquaAdapt provides user-friendly outputs, including maps and reports, that do not require GIS expertise. Users can select a parcel, choose a climate scenario (e.g., low or high emissions), and receive projections for erosion risks over specified timeframes, complete with confidence intervals.",
          "query": "AquaAdapt platform features user-friendly coastal risk assessment tools outputs",
          "children": [
            {
              "name": "Scenario-Based Projections",
              "description": "The platform generates projections for multiple climate scenarios (e.g., low, medium, and high emissions) and time horizons (10, 30, 50, and 100 years). Each projection includes a confidence interval, reflecting the uncertainty inherent in long-term predictions.",
              "query": "scenario-based coastal erosion projections confidence intervals climate scenarios",
              "children": [],
              "sources": [
                {
                  "title": "sciencedirect.com/science/article/pii/S0268401223000233",
                  "url": "https://www.sciencedirect.com/science/article/pii/S0268401223000233"
                },
                {
                  "title": "Predicting coastal erosion susceptibility in Bangladesh under climate...",
                  "url": "https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0334347"
                },
                {
                  "title": "(PDF) Projected increase of Arctic coastal erosion and its sensitivity...",
                  "url": "https://www.researchgate.net/publication/352755076_Projected_increase_of_Arctic_coastal_erosion_and_its_sensitivity_to_warming_in_the_21st_Century"
                }
              ]
            },
            {
              "name": "Confidence Intervals and Uncertainty Quantification",
              "description": "AquaAdapt explicitly quantifies uncertainty in its projections, providing confidence intervals that widen as the time horizon extends. This transparency helps decision-makers understand the reliability of the data and make informed choices.",
              "query": "uncertainty quantification in AI-driven coastal risk assessments confidence intervals examples",
              "children": [],
              "sources": [
                {
                  "title": "A Survey on Uncertainty Quantification Methods for Deep ...",
                  "url": "https://dl.acm.org/doi/10.1145/3786319"
                },
                {
                  "title": "3D multi-physics uncertainty quantification using ... - Nature",
                  "url": "https://www.nature.com/articles/s41598-022-21739-7"
                },
                {
                  "title": "Artificial intelligence and numerical weather prediction ...",
                  "url": "https://www.sciencedirect.com/science/article/pii/S266659212400091X"
                }
              ]
            },
            {
              "name": "User Accessibility and Interface",
              "description": "The platform is designed to be accessible to non-experts. Users can draw a zone on a map, select a climate scenario, and receive detailed risk assessments without needing specialized training or expertise.",
              "query": "user-friendly AI tools for coastal risk assessment non-expert accessibility examples",
              "children": [],
              "sources": [
                {
                  "title": "Can AI help coastal cities prepare for rising seas and extreme events?",
                  "url": "https://phys.org/news/2026-06-ai-coastal-cities-seas-extreme.html"
                },
                {
                  "title": "The 12 Best AI Tools for 2026 (That People Actually Use)",
                  "url": "https://www.synthesia.io/post/ai-tools"
                },
                {
                  "title": "Decision support tools - Coastal Wiki",
                  "url": "https://www.coastalwiki.org/wiki/Decision_support_tools"
                }
              ]
            }
          ],
          "sources": [
            {
              "title": "Nature-based Climate Solutions in Aquaculture Food Systems in ...",
              "url": "https://idrc-crdi.ca/en/initiative/aquadapt"
            },
            {
              "title": "AQUADAPT-Nature Project",
              "url": "https://aquadapt.org/nature/"
            },
            {
              "title": "FAO publishes Aqua-Adapt Framework for Aquaculture Climate ...",
              "url": "https://www.linkedin.com/posts/weareaquaculture_new-fao-guide-supports-aquaculture-adaptation-activity-7365664927346233345-pjL-"
            }
          ]
        },
        {
          "name": "Comparison with Traditional AI Tools",
          "description": "Unlike traditional AI tools (e.g., ChatGPT) that provide deterministic or overconfident outputs, AquaAdapt emphasizes transparency and uncertainty. It presents multiple possible futures with quantified confidence levels, enabling decision-makers to prepare for a range of outcomes rather than relying on a single prediction.",
          "query": "AquaAdapt vs traditional AI tools uncertainty quantification in risk assessment examples",
          "children": [
            {
              "name": "Overconfident AI vs. Useful AI",
              "description": "Overconfident AI tools provide single, deterministic outcomes that can mislead decision-makers. In contrast, AquaAdapt's 'useful AI' presents multiple possible futures with quantified uncertainty, supporting better-informed decision-making.",
              "query": "overconfident AI vs useful AI in risk assessment examples limitations of deterministic AI",
              "children": [],
              "sources": [
                {
                  "title": "The Hidden Risk Of Agentic AI: When Confidence ... - Forbes",
                  "url": "https://www.forbes.com/sites/timbajarin/2026/07/07/the-hidden-risk-of-agentic-ai-when-confidence-outpaces-accuracy/"
                },
                {
                  "title": "The Potential and Concerns of Using AI in Scientific Research ...",
                  "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC10636627/"
                },
                {
                  "title": "Full article: Overconfident AI: how artificial intelligence ...",
                  "url": "https://www.tandfonline.com/doi/full/10.1080/29974100.2025.2486974"
                }
              ]
            }
          ],
          "sources": [
            {
              "title": "sciencedirect.com/science/article/pii/S1566253521001081",
              "url": "https://www.sciencedirect.com/science/article/pii/S1566253521001081"
            },
            {
              "title": "jamanetwork.com/journals/jama/fullarticle/2665774",
              "url": "https://jamanetwork.com/journals/jama/fullarticle/2665774"
            },
            {
              "title": "Risk Quantification: Definition, Methods & Benefits",
              "url": "https://www.logicgate.com/blog/what-is-risk-quantification/"
            }
          ]
        },
        {
          "name": "Team and Development Background",
          "description": "AquaAdapt was founded by Lily Pinault, a data scientist with expertise in earth sciences, oceanography, climatology, and AI. The team includes a co-founder with a background in legal, finance, and venture capital, an urbanist, and a web developer. The project is supported by academic partnerships and funding.",
          "query": "AquaAdapt team background founders expertise coastal risk assessment startups",
          "children": [
            {
              "name": "Future Development Goals",
              "description": "AquaAdapt aims to expand its platform to include decision-support tools for adaptation strategies, such as recommending gray, green, or blue solutions based on specific coastal risks and scenarios. The team is also refining its AI models and exploring new data sources.",
              "query": "future development goals for AquaAdapt AI coastal adaptation tools",
              "children": [],
              "sources": [
                {
                  "title": "Artificial Intelligence in Aquatic Biodiversity Research: A ...",
                  "url": "https://www.mdpi.com/2079-7737/14/5/520"
                },
                {
                  "title": "ResearchGate | Find and share research",
                  "url": "https://www.researchgate.net/"
                },
                {
                  "title": "Digital twin development towards integration into blue ...",
                  "url": "https://www.sciencedirect.com/science/article/pii/S0029801824031196"
                }
              ]
            }
          ],
          "sources": [
            {
              "title": "Aquaculture Adaptation Framework for Climate Change (Aqua-Adapt)",
              "url": "https://openknowledge.fao.org/bitstreams/e9e5a801-b71f-47b3-a98b-146c9edf37dc/download"
            },
            {
              "title": "Nature-based Climate Solutions in Aquaculture Food Systems in ...",
              "url": "https://idrc-crdi.ca/en/initiative/aquadapt"
            },
            {
              "title": "AQUADAPT-Nature Project",
              "url": "https://aquadapt.org/nature/"
            }
          ]
        }
      ],
      "sources": [
        {
          "title": "Artificial intelligence for flood risk management: A ...",
          "url": "https://www.sciencedirect.com/science/article/pii/S2212420924008720"
        },
        {
          "title": "These eight coastal cities sit on America's flood front line ...",
          "url": "https://phys.org/news/2026-04-coastal-cities-america-front-line.html"
        },
        {
          "title": "Scientific Reports - Nature",
          "url": "https://www.nature.com/srep/"
        }
      ]
    },
    {
      "name": "Coastal Adaptation Strategies",
      "description": "Adapting to coastal erosion and rising sea levels requires a combination of strategies, broadly categorized as gray, green, or blue solutions. These strategies aim to mitigate risks, protect infrastructure, and preserve ecosystems, though their effectiveness varies by context.",
      "query": "coastal adaptation strategies gray green blue solutions examples effectiveness",
      "children": [
        {
          "name": "Gray Solutions",
          "description": "Gray solutions involve hard engineering structures such as seawalls, dikes, and revetments designed to physically protect coastlines from erosion and flooding. While effective in the short term, these solutions can be costly, environmentally disruptive, and may exacerbate erosion in adjacent areas.",
          "query": "gray solutions for coastal erosion seawalls dikes revetments pros and cons",
          "children": [],
          "sources": [
            {
              "title": "The efficacy of green and gray coastal structures in storm ...",
              "url": "https://www.sciencedirect.com/science/article/pii/S0378383926000268"
            },
            {
              "title": "Comprehensive Index System for Evaluation of Ecological Seawalls",
              "url": "https://www.mdpi.com/2077-1312/13/11/2168"
            },
            {
              "title": "Restoration and Nature-Based Solutions - NCCOS - National ...",
              "url": "https://coastalscience.noaa.gov/science-areas/climate-change/restoration-and-nature-based-solutions/"
            }
          ]
        },
        {
          "name": "Green Solutions",
          "description": "Green solutions focus on ecosystem-based approaches, such as restoring mangroves, wetlands, or dunes, to naturally buffer coastlines against erosion and flooding. These solutions are often more sustainable and cost-effective but may not be feasible in all locations (e.g., metropolitan France).",
          "query": "green solutions for coastal erosion mangrove restoration wetlands dunes pros and cons",
          "children": [],
          "sources": [
            {
              "title": "Nature-based solutions for coastal erosion protection in a ...",
              "url": "https://www.sciencedirect.com/science/article/pii/S0272771424000192"
            },
            {
              "title": "Restoration and Nature-Based Solutions - NCCOS - National ...",
              "url": "https://coastalscience.noaa.gov/science-areas/climate-change/restoration-and-nature-based-solutions/"
            },
            {
              "title": "Vegetative nature-based solutions for coastal flood risk ...",
              "url": "https://www.sciencedirect.com/science/article/pii/S0964569124005052"
            }
          ]
        },
        {
          "name": "Blue Solutions",
          "description": "Blue solutions integrate water management into coastal adaptation, such as creating artificial reefs or managed retreat strategies. These approaches aim to work with natural processes to reduce risks while preserving ecological functions.",
          "query": "blue solutions for coastal adaptation artificial reefs managed retreat examples",
          "children": [],
          "sources": [
            {
              "title": "Managed retreat in the face of sea level rise: A multi-dimensional ...",
              "url": "https://www.sciencedirect.com/science/article/pii/S2212420925007769"
            },
            {
              "title": "Coastal Adaptation Strategies: Building Resilience for Our Changing ...",
              "url": "https://coralvita.co/coral-cafe/coastal-adaptation/"
            },
            {
              "title": "Nature-based and bioinspired solutions for coastal protection",
              "url": "https://academic.oup.com/icesjms/article/80/5/1218/7181089"
            }
          ]
        },
        {
          "name": "Challenges in Implementing Adaptation Strategies",
          "description": "Implementing coastal adaptation strategies is complex due to uncertainties in risk projections, limited resources, and varying stakeholder priorities. Decision-makers often struggle to determine the most effective and context-appropriate solutions.",
          "query": "challenges in coastal adaptation implementation decision-making barriers examples",
          "children": [],
          "sources": [
            {
              "title": "Challenges to climate change adaptation in coastal small towns...",
              "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC10644629/"
            },
            {
              "title": "(PDF) Sea Level Rise in Europe: Adaptation Measures and Decision...",
              "url": "https://www.researchgate.net/publication/377420114_Sea_Level_Rise_in_Europe_Adaptation_Measures_and_Decision_Making_Principles"
            },
            {
              "title": "Social Dimensions of Climate Change Adaptation in Coastal Regions",
              "url": "https://www.ecologic.eu/11602"
            }
          ]
        }
      ],
      "sources": [
        {
          "title": "Coastal resilience could be enhanced by co-interventions and ...",
          "url": "https://www.sciencedirect.com/science/article/pii/S2772411525000333"
        },
        {
          "title": "Innovative Approaches for Strengthening Coastal and Ocean ...",
          "url": "https://unfccc.int/sites/default/files/resource/InnovativeApproachesforStrengtheningCoastaland+Ocean.pdf"
        },
        {
          "title": "Designing Coastal Adaptation Strategies to Tackle ... - Frontiers",
          "url": "https://www.frontiersin.org/journals/marine-science/articles/10.3389/fmars.2021.740602/full"
        }
      ]
    },
    {
      "name": "Role of AI in Coastal Risk Management",
      "description": "AI has the potential to revolutionize coastal risk management by providing high-resolution, scenario-based, and timely risk assessments. However, its effectiveness depends on transparency, uncertainty quantification, and accessibility to non-expert decision-makers.",
      "query": "role of AI in coastal risk management benefits challenges examples",
      "children": [
        {
          "name": "Transparency and Trust in AI Tools",
          "description": "Transparency is critical for building trust in AI-driven risk assessment tools. AquaAdapt emphasizes quantifying and communicating uncertainty, ensuring decision-makers understand the limitations and reliability of the data.",
          "query": "transparency in AI-driven risk assessment tools trust-building examples",
          "children": [],
          "sources": [
            {
              "title": "Research your AI research tools - UK Research Integrity Office",
              "url": "https://ukrio.org/ukrio-resources/research-your-ai-research-tools/"
            },
            {
              "title": "sciencedirect.com/science/article/pii/S0268401223000233",
              "url": "https://www.sciencedirect.com/science/article/pii/S0268401223000233"
            },
            {
              "title": "Identifying Necessary Transparency Moments in Agentic AI (Part 1)",
              "url": "https://covernora.com/identifying-necessary-transparency-moments/"
            }
          ]
        },
        {
          "name": "AI vs. Human Judgment",
          "description": "AI tools should inform and augment human judgment rather than replace it. AquaAdapt's approach ensures that decision-makers retain agency by providing multiple possible futures and quantified uncertainty, enabling them to make context-specific choices.",
          "query": "AI and human judgment in risk assessment complementary roles examples",
          "children": [],
          "sources": [
            {
              "title": "Toward a science of human–AI teaming for decision making - PMC",
              "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12983458/"
            },
            {
              "title": "AI for Decision Making vs Human Judgment: Which Wins? | newline",
              "url": "https://www.newline.co/@Dipen/ai-for-decision-making-vs-human-judgment-which-wins--d2258a61"
            },
            {
              "title": "New MIT Sloan research suggests that AI is more likely to ...",
              "url": "https://mitsloan.mit.edu/press/new-mit-sloan-research-suggests-ai-more-likely-to-complement-not-replace-human-workers"
            }
          ]
        }
      ],
      "sources": [
        {
          "title": "Frontiers | High seas in the cloud: the role of big data and ...",
          "url": "https://www.frontiersin.org/journals/marine-science/articles/10.3389/fmars.2024.1427099/full"
        },
        {
          "title": "Artificial Intelligence for Disaster Risk Reduction ...",
          "url": "https://wmo.int/media/magazine-article/artificial-intelligence-disaster-risk-reduction-opportunities-challenges-and-prospects"
        },
        {
          "title": "Artificial intelligence for modeling and understanding ...Artificial intelligence in environmental monitoring ...Explainable artificial intelligence in disaster risk ...",
          "url": "https://www.nature.com/articles/s41467-025-56573-8"
        }
      ]
    },
    {
      "name": "Future Challenges and Opportunities",
      "description": "Coastal risks will remain a defining challenge for decades due to climate change and rising sea levels. Addressing these risks requires bridging the gap between scientific data and actionable insights, improving policy frameworks, and fostering collaboration among stakeholders.",
      "query": "future challenges opportunities coastal risk management climate change adaptation",
      "children": [
        {
          "name": "Policy and Regulatory Frameworks",
          "description": "Effective coastal risk management requires robust policy and regulatory frameworks. For example, France has mandated that 371 local governments map their coastal risks, but many lack the tools and resources to do so effectively.",
          "query": "coastal risk management policy frameworks France examples global best practices",
          "children": [],
          "sources": [
            {
              "title": "Local authorities or national frameworks? A global review on ...",
              "url": "https://www.sciencedirect.com/science/article/pii/S221146452400157X"
            },
            {
              "title": "Blue Nature-Based Solutions in marine and coastal EU policies ...",
              "url": "https://www.sciencedirect.com/science/article/pii/S0308597X25001022"
            },
            {
              "title": "Designing Coastal Adaptation Strategies to Tackle ... - Frontiers",
              "url": "https://www.frontiersin.org/journals/marine-science/articles/10.3389/fmars.2021.740602/full"
            }
          ]
        },
        {
          "name": "Stakeholder Collaboration",
          "description": "Addressing coastal risks requires collaboration among diverse stakeholders, including local governments, insurers, developers, scientists, and communities. Platforms like AquaAdapt can facilitate this collaboration by providing accessible and actionable data.",
          "query": "stakeholder collaboration in coastal risk management examples best practices",
          "children": [],
          "sources": [
            {
              "title": "Stakeholders Collaboration in Empowering Coastal Communities",
              "url": "https://www.academia.edu/68014385/Stakeholders_Collaboration_in_Empowering_Coastal_Communities"
            },
            {
              "title": "sciencedirect.com/science/article/pii/S0013935118300355",
              "url": "https://www.sciencedirect.com/science/article/pii/S0013935118300355"
            },
            {
              "title": "(PDF) Public perception and preferences for coastal risk...",
              "url": "https://www.researchgate.net/publication/370114693_Public_perception_and_preferences_for_coastal_risk_management_Evidence_from_a_convergent_parallel_mixed-methods_study"
            }
          ]
        },
        {
          "name": "Innovation and Technology",
          "description": "Innovations in AI, satellite technology, and data analytics present opportunities to improve coastal risk assessments. Continued investment in these technologies is essential for developing scalable and effective solutions.",
          "query": "innovation in coastal risk assessment AI satellite technology data analytics examples",
          "children": [],
          "sources": [
            {
              "title": "Ocean Ledger Secures €900K to Coastal Risk Management",
              "url": "https://arabfounders.net/en/ocean-ledger-ai-coastal-risk-management/"
            },
            {
              "title": "Innovation in coastal risk management: An exploratory analysis of...",
              "url": "https://research-portal.uu.nl/en/publications/innovation-in-coastal-risk-management-an-exploratory-analysis-of-"
            },
            {
              "title": "Frontiers | Collaborative Science to Enhance Coastal Resilience and...",
              "url": "https://www.frontiersin.org/journals/marine-science/articles/10.3389/fmars.2019.00404/full"
            }
          ]
        }
      ],
      "sources": [
        {
          "title": "Coastal urban flood risk management: Challenges and ...",
          "url": "https://www.sciencedirect.com/science/article/pii/S0022169424016676"
        },
        {
          "title": "Future-oriented coastal protection: The utility of living ...",
          "url": "https://www.sciencedirect.com/science/article/pii/S2772411525000734"
        },
        {
          "title": "Enabling Climate Change Adaptation in Coastal Systems: A ...",
          "url": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2023EF003713"
        }
      ]
    }
  ],
  "sources": [
    {
      "title": "Adaptation strategy to climate change - JV-Campus",
      "url": "https://www.jv-campus.org/en/jvc-content/369867/"
    },
    {
      "title": "sciencedirect.com/science/article/pii/S0959378017300134",
      "url": "https://www.sciencedirect.com/science/article/pii/S0959378017300134"
    },
    {
      "title": "Perceptions of and responses to coastal erosion risks: The case of...",
      "url": "https://www.researchgate.net/publication/344646483_Perceptions_of_and_responses_to_coastal_erosion_risks_The_case_of_Cotonou_in_Benin"
    }
  ]
}