HC010
Of data and models in science and management

Session ID#: 259838

Session Description:
In recent years a variety of new approaches in data science have changed what is possible. Techniques such as machine learning, big data and large language models are being used to explore and develop new understanding that can support marine and coastal planning and management. A key aspect to realise the full potential of these methods is their use within a suitable conceptual framework. Conceptual models synthesize what we know about a complex problem or process. They serve as powerful tools for visualizing and communicating current understanding, integrating knowledge systems, and supporting marine and coastal management. For this session, we invite case studies exploring: a) the use of new data sources for sustainable planning and management, covering aspects such as sea level change, climate change, marine pollution, marine risk, societal issues, economic and infrastructural development. b) methodological innovation (including the use of AI and related tools), and transdisciplinary approaches that demonstrate how conceptual models are applied to inform management strategies, involve stakeholders and communities, and create adaptive solutions for managing environmental change. Preference will be given to presentations that link science-policy, offer new or innovative methods, introduce applications in new or emerging fields, and support sustainable ocean and coastal co-stewardship
Co-Sponsor(s):
  • Air-Sea Interactions -
  • Climate and Ocean Change -
  • Education, Public Engagement, and Arts -
Index Terms:

1641 Sea level change [GLOBAL CHANGE]
1938 Knowledge representation and knowledge bases [INFORMATICS]
1942 Machine learning [INFORMATICS]
1952 Modeling [INFORMATICS]
Student/Early Career Chair:  Sabrina Sacco, Ph.D. Student in Artificial Intelligence, University of Naples Federico II, Italy, Master in Sustainable Planning and Design of Port Areas, Naples, Italy
Primary Chair:  Willem Klajbor, Cooperative Institute for Marine and Atmospheric Studies Miami, Miami, United States; Atlantic Oceanographic and Meteorological Laboratory, Miami, United States
Co-chairs:  Katie Arkema, Pacific Northwest National Laboratory, Seattle, United States; University of Washington, School of Marine and Environmental Affairs, Seattle, United States and Kalpana Chaudhari, India
 
A Novel Network-Theoretic Modelling Framework For Connectivity Assessment In Marine Spatial Planning (2011113)
Graeme Guy, Wendy Gentleman, Kathryne Easter, Hilary Wells, Cassie Norman and Karsten Economou, Dalhousie University, Department of Engineering Mathematics and Internetworking, Halifax, Canada
 
Burden Ratio Approach to Quantifying Socioeconomic Impacts of Florida Red Tides (2016864)
Amanda He, Organization Not Listed, Washington, DC, United States and Kelly Liu, Valley Christian High School, San Jose, United States
 
Using Marine Ecosystem Modelling To Combat Eutrophication Issues In Shared Regional Seas (2024070)
Sonja van Leeuwen1, Hermann Lenhart2 and Daniel Thewes2, (1)Royal Netherlands Institute for Sea Research, Texel, Netherlands, (2)University of Hamburg, Hamburg, Germany
 
Integration of Economic and Ecological Models to Predict the Impacts of Tourism on Environmental Condition in an Offshore Island of Bangladesh (2024967)
Md. Hamim Chowdhury and Subrata Sarker, Shahjalal University of Science and Technology, Department of Oceanography, Sylhet, Bangladesh
 
Modeling Bacterial Pollution in Estuaries After High-Intensity Rainfall: A Watershed-Estuary Approach in Frenchman Bay, Maine (2029154)
Jennifer L Ross, University of Maine, Civil and Environmental Engineering, Orono, United States, Sean Smith, University of Maine, Darling Marine Center, Orono, United States, Taylor Bailey Spencer, University of Maine, Maine Sea Grant, Orono, United States and Sohaib Alahmed, Anchor QEA, Houston, United States
 
From Source to Sea: Integrating GIS, Conceptual Models, and Real-Time Monitoring for Coastal Water Management (2032659)
Caroline Williams, Pratt Institute, New York City, United States
 
Collecting and Providing the Ocean Data for Sustainable Development: An Ocean Acidification Case Study (2039227)
Karen Evans1, Katherina Schoo2, Kirsten Isensee2, Siv K Lauvset3, Gwenaëlle Moncoiffé4, Nico Lange3, Dr. Jan A Newton, PhD5 and Stephen Widdicombe6, (1)UNESCO Paris, Paris Cedex 15, France, (2)Intergovernmental Oceanographic Commission of UNESCO, Paris, France, (3)NORCE Research, Climate and Environment, Bjerknes Centre for Climate Research, Bergen, Norway, (4)National Oceanography Centre, Liverpool, United Kingdom, (5)University of Washington, Applied Physics Laboratory, Seattle, United States, (6)Plymouth Marine Laboratory, Plymouth, United Kingdom
 
Multicriteria Decision Analysis for the Clearance of Ammunition Piles in the Baltic Sea (2039249)
Alexander Pechmann, Global Climate Forum e.V., Berlin, Germany, Torsten Frey, GEOMAR Helmholtz Centre for Ocean Research Kiel, Marine Geosystems - DeepSea Monitoring, Kiel, Germany and Samar Ensenbach, GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany
 
Large language model-generated FCMs for real-world decision making: identifying impacts of offshore wind development (2044035)
Willem Klajbor1, Kelsi Furman2, Sarah L Gibbs2 and Nathan Brugnone3,4, (1)Cooperative Institute for Marine and Atmospheric Studies Miami, Miami, United States, (2)University of South Alabama, Mobile, United States, (3)Michigan State University, East Lansing, United States, (4)Johns Hopkins University, Balitmore, United States
 
Developing a Conceptual Model to Understand Social, Ecological, and Technological Systems of Floating Offshore Wind Relationships on the West Coast of the U.S. (2048519)
Cailene M Gunn, Pacific Northwest National Laboratory, Coastal Sciences Division, Sequim, United States, Margaret Daly, Pacific Northwest National Laboratory, Richland, United States, Katie Arkema, Pacific Northwest National Laboratory, Seattle, United States and Alison Shereda, Pacific Northwest National Laboratory, Coastal Sciences Division, Sequim, WA, United States
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