Causeworks: a Mixed Initiative Framework for Causal Modeling

The construction of computational causal models for complex systems has typically been completed manually by domain experts and is a time-consuming, cumbersome process. Operational design is a method of structured team discourse used by military planners for rapidly envisioning complex systems and r...

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Bibliographic Details
Published inSN computer science Vol. 4; no. 1; p. 54
Main Authors Kapler, Thomas, Gray, Derek, Vasquez, Holland, Wright, William
Format Journal Article
LanguageEnglish
Published Singapore Springer Nature Singapore 01.01.2023
Springer Nature B.V
Subjects
Artificial intelligence
Causality
Climate change
Complex systems
Computer Imaging
Computer Science
Computer Systems Organization and Communication Networks
Computer Vision
Data Structures and Information Theory
Design
Designers
Hypotheses
Imaging and Computer Graphics Theory and Applications
Influence
Information Systems and Communication Service
Original Research
Pattern Recognition and Graphics
Planning
Public health
Sketches
Software
Software Engineering/Programming and Operating Systems
Subject specialists
Vision
Visualization
Whiteboards
Visual analytics
User-driven modeling
Causality analysis
Artificial intelligence
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Summary:The construction of computational causal models for complex systems has typically been completed manually by domain experts and is a time-consuming, cumbersome process. Operational design is a method of structured team discourse used by military planners for rapidly envisioning complex systems and relationships; however, the products are typically static diagrams on whiteboards or slides. DARPAs Causal Exploration program seeks to leverage artificial intelligence (AI) assistance and causal analytics to enable rapid system modeling and analysis. We introduce Causeworks, an application in which operators “sketch” complex systems, leverage AI tools and expert knowledge to transform the sketches into computational causal models, and then apply analytics to understand how to influence the system. We walk through human–machine collaborative model building using Causeworks and discuss feedback and lessons learned about how to flexibly apply causal modeling and thinking for expert planners that are novice modelers.
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ISSN:2661-8907
2662-995X
2661-8907
DOI:10.1007/s42979-022-01452-y