Abstract
The world comprises of multiple ecological systems that vary in size and shape in spatial and temporal dimensions. In recent years, digital health has uncovered connectable coexisting ecosystems, including the most contagious healthcare conditions embedded within human and environmental ecosystems in different spatial dimensions. For example, the current pandemic and associated environments have created havoc worldwide on mental health and human wellbeing. The connectivity between human wellbeing, mental health and environmental ecologies can thus construe and leverage the change in human behaviors, including the movement of human habitat in its entirety in spatial dimensions. Real-time monitoring of human health and environmental events is necessary, for which we envisage the wheeling of big data articulations while mapping and modelling global ecosystems. Besides, the Big Data application collaborates with ecological events to underpin the persistence of human wellness in different biodiversity and make decisions on resource conservations in varying environmental changes. The connectivity between diverse ecologies can assess the interactions between elements and processes of systems, technological communities, and human habitats. The authors consider Big Data paradigm, design science research and domain application development to ascertain the connectivity between ecological systems. Attribute Journey Mapping and Modelling (AJMM) of ecological Big Data can add value to the knowledge of functional relationships and their interpretations, previously unknown and hidden in large volumes and varieties of data scattered in geographic dimensions.
Recommended Citation
Nimmagadda, Shastri; Brymer, Eric; and Chitti, Sashi, "Wheeling Big Data Articulations – Exploring Connections between Multiple Digital Ecosystems in Real Time" (2023). International Conference on Information Systems 2023 Special Interest Group on Big Data Proceedings. 3.
https://aisel.aisnet.org/sigbd2023/3