Meng-Wei Chang’s scientific contributions

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Publications (2)


A Mixed-Initiative Visual Analytics Approach for Qualitative Causal Modeling
  • Conference Paper

October 2021

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17 Reads

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4 Citations

Fahd Husain

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Pascale Proulx

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Meng-Wei Chang

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[...]

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Figure 2: Aggregation schema of causal statements. Extracted causal statements (with underlying evidence) are rolled up into the graph edge "violence →food security". An example of the evidencesupporting the statement between conflict and production is shown.
A Mixed-Initiative Visual Analytics Approach for Qualitative Causal Modeling
  • Preprint
  • File available

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.

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Citations (1)


... 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. ...

Reference:

Work Domain Analysis of Electric Transmission Networks and Operation
A Mixed-Initiative Visual Analytics Approach for Qualitative Causal Modeling
  • Citing Conference Paper
  • October 2021