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Paper Number
2591
Paper Type
short
Description
We adapt a design science approach (DSR) for coastal resilience and climate justice using big data analytics. Our big data and machine learning based artifact can accommodate various sets of social attributes to understand coastal risks for vulnerable communities. We analyzed social data from communities vulnerable to coastal hazards by incorporating machine learning (ML) to assess coastal community needs and demands. In addition, we developed a user interface that provides data selection and weighting functionalities. We extend IS literature in design science research and ML techniques to further our understanding of coastal resilience in vulnerable communities. The outcomes of this research can help community members and policy makers understand and develop robust sustainability and climate focused decisions using a coastal resilience decision approach.
Recommended Citation
Lee, Carol; Yoon, YoungHo; and Bharati, Pratyush, "Coastal Resilience with Social Data Analytics: A Design Science Approach" (2023). ICIS 2023 Proceedings. 14.
https://aisel.aisnet.org/icis2023/soc_impactIS/soc_impactIS/14
Coastal Resilience with Social Data Analytics: A Design Science Approach
We adapt a design science approach (DSR) for coastal resilience and climate justice using big data analytics. Our big data and machine learning based artifact can accommodate various sets of social attributes to understand coastal risks for vulnerable communities. We analyzed social data from communities vulnerable to coastal hazards by incorporating machine learning (ML) to assess coastal community needs and demands. In addition, we developed a user interface that provides data selection and weighting functionalities. We extend IS literature in design science research and ML techniques to further our understanding of coastal resilience in vulnerable communities. The outcomes of this research can help community members and policy makers understand and develop robust sustainability and climate focused decisions using a coastal resilience decision approach.
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Comments
05-SocImpact