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Causal Modeling and N-ary Relations

From: Adam Sobieski <adamsobieski@hotmail.com>
Date: Thu, 13 May 2021 13:59:09 +0000
To: "semantic-web@w3.org" <semantic-web@w3.org>
Message-ID: <CH2PR12MB41848627F884302919A0A454C5519@CH2PR12MB4184.namprd12.prod.outlook.com>
Semantic Web Interest Group,

On the topic of n-ary relations [1][2], I recently found an interesting publication [3] which discusses n-ary relations in the context of causal modeling:

Weiner, Bryan J., Megan A. Lewis, Steven B. Clauser, and Karyn B. Stitzenberg. "In search of synergy: strategies for combining interventions at multiple levels." Journal of the National Cancer Institute Monographs 2012, no. 44 (2012): 34-41.

“Causal models are abstract, often visual, representations that use cause-and-effect logic to describe the behavior of a system.”

“Researchers and practitioners wishing to deploy multiple interventions at different levels of influence face two pressing questions: Which combinations of interventions are likely to produce complementary or synergistic effects? Why? Funding agencies and policy-making bodies presented with competing proposals for multilevel interventions face these questions as well. The causal modeling approach that we used in this article offers a general framework for thinking through the logic of multilevel intervention design.”

I hope that the publication and its n-ary modeling scenarios are of some interest to you.

Is anyone else looking into modeling combinations of interventions, multilevel intervention design, causal modeling, and/or modeling the complex contexts of (for instance educational) interventions?


Best regards,
Adam Sobieski

[1] https://www.w3.org/TR/swbp-n-aryRelations/
[2] https://www.w3.org/2004/08/12-Yoshio/onNaryRelations.html
[3] https://academic.oup.com/jncimono/article/2012/44/34/946740
Received on Thursday, 13 May 2021 13:59:23 UTC

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