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.

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.

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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 a...

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Context 1
... qualitative causal model in Causemos is represented in the form of a directed acyclic graph (DAG) composed of a set of causal statements with nodes representing concepts and edges representing causal relationships (see Fig.1.A, bottom left). These causal statements are aggregated at the concept level (see Fig.2). Causal assertions are extracted by collaborating machine-reading and knowledge assembly systems [23] resulting in a set of normalized, qualitative causal statements organized by a curated ontology [19]. ...
Context 2
... use a color-blind safe two-color scale to encode the polarity of an edge, blue for "same" and red for "opposite". However, since many causal statements may be aggregated under an edge, sometimes an edge can have ambiguous polarity, which is encoded as gray (see Fig.2). This is a cue for the analyst to review the evidence since the ambiguity is likely to stem from a quality issue (DO3). ...

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