Data-driven decisions: Artificial intelligence-based experimental validation of ocean ecosystem services scale

Several studies address the main topic of research, ecosystem services. It is also proven that decision-making in organizations generally involves a decision-maker, who assumes internal responsibility for the results. However, when the decision is collective, we need to think about the context of governance. How can we increase the sustainable decisions of ocean ecosystem services governance? When this decision is applied to ocean ecosystem services, in particular, we need a parameter. Therefore, the proposed scale is an initial guide for support key decision-makers decisions on the governance of ocean services ecosystems. The scale proposal with validation through classical linear regression, and supported by an artificial neural network, demonstrates the main variables that influence the decision and contribute to possible risk mitigations in terms of decisions.

Publication Details

Journal
Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Published
2024-12-01
Primary Topic
Coastal and Marine Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Data-driven decisions: Artificial intelligence-based experimental validation of ocean ecosystem services scale

Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Coastal and Marine Management
article

Data-driven decisions: Artificial intelligence-based experimental validation of ocean ecosystem services scale

article en

Abstract

Several studies address the main topic of research, ecosystem services. It is also proven that decision-making in organizations generally involves a decision-maker, who assumes internal responsibility for the results. However, when the decision is collective, we need to think about the context of governance. How can we increase the sustainable decisions of ocean ecosystem services governance? When this decision is applied to ocean ecosystem services, in particular, we need a parameter. Therefore, the proposed scale is an initial guide for support key decision-makers decisions on the governance of ocean services ecosystems. The scale proposal with validation through classical linear regression, and supported by an artificial neural network, demonstrates the main variables that influence the decision and contribute to possible risk mitigations in terms of decisions.

Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Fundação para a Ciência e a Tecnologia
Life below water
Openalex Percentile: Top 31%
Coastal and Marine Management
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