October 2021
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17 Reads
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4 Citations
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October 2021
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17 Reads
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4 Citations
September 2021
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25 Reads
Modeling complex systems is a time-consuming, difficult and fragmented task, often requiring the analyst to work with disparate data, a variety of models, and expert knowledge across a diverse set of domains. Applying a user-centered design process, we developed a mixed-initiative visual analytics approach, a subset of the Causemos platform, that allows analysts to rapidly assemble qualitative causal models of complex socio-natural systems. Our approach facilitates the construction, exploration, and curation of qualitative models bringing together data across disparate domains. Referencing a recent user evaluation, we demonstrate our approach's ability to interactively enrich user mental models and accelerate qualitative model building.
... Since relationships in the WDA indicate situation-specific inferential judgements that operations must integrate, they are a way to structure explainable automated support. Causal models of socio-natural systems have been used to structure machine learning for user-driven predictive analytics [33]. Such approaches use qualitative, explainable models like WDA to structure more quantitative models. ...
October 2021