𝗝𝗢𝗨𝗥𝗡𝗔𝗟 𝗢𝗙 𝗖𝗔𝗨𝗦𝗔𝗟 𝗜𝗡𝗙𝗘𝗥𝗘𝗡𝗖𝗘 (𝗜𝗙 𝟮𝟬𝟮𝟯: 𝟭.𝟳) is a fully peer-reviewed, open access, electronic journal that provides readers with free, instant, and permanent access to all content worldwide.

JCI publishes papers on theoretical and applied causal research across the range of academic disciplines that use quantitative tools to study causality.

The past decades have seen causal inference emerge as a unified field with a solid theoretical foundation, useful in many of the empirical and behavioral sciences. Journal of Causal Inference aims to provide a common venue for researchers working on causal inference in biostatistics and epidemiology, economics, political science and public policy, cognitive science and formal logic, and any field that aims to understand causality. The journal serves as a forum for this growing community to develop a shared language and study the commonalities and distinct strengths of their various disciplines' methods for causal analysis.

Existing discipline-specific journals tend to bury causal analysis in the language and methods of traditional statistical methodologies, creating the inaccurate impression that causal questions can be handled by routine methods of regression or simultaneous equations, glossing over the special precautions demanded by causal analysis. In contrast, JCI highlights both the uniqueness and interdisciplinary nature of causal research.

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𝗘𝗗𝗜𝗧𝗢𝗥𝗦-𝗜𝗡-𝗖𝗛𝗜𝗘𝗙
Elias Bareinboim, Columbia University, USA
Jin Tian, Mohamed bin Zayed University of Artificial Intelligence, UAE
Iván Díaz, New York University, USA
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𝗘𝗗𝗜𝗧𝗢𝗥𝗜𝗔𝗟 𝗖𝗢𝗡𝗧𝗔𝗖𝗧
journal.editor@degruyter.com
jci_editorial@degruyter.com
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𝗪𝗘𝗕𝗦𝗜𝗧𝗘
https://www.degruyterbrill.com/jci
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𝗦𝗨𝗕𝗠𝗜𝗦𝗦𝗜𝗢𝗡 𝗦𝗬𝗦𝗧𝗘𝗠
https://mc.manuscriptcentral.com/dgjci
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𝗬𝗢𝗨𝗥 𝗕𝗘𝗡𝗘𝗙𝗜𝗧𝗦
As an author of Journal of Causal Inference, You benefit from:
- fair and constructive peer review
- quick online publication of accepted papers (continuous publication model)
- language polishing services upon acceptance for authors from non-English speaking regions
- all articles are freely available to the academic community worldwide without any restrictions
- promotion of published papers to readers and citers
- distribution to open access directories (such as DOAJ) and thousands of libraries worldwide
- Inclusion in prestigious international indexing services
- liberal policies on copyrights (authors retain copyright) and on self-archiving (no embargo periods) (License to Publish (CC-BY))
- secure archiving by De Gruyter Brill and the independent archiving service Portico

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𝗔𝗥𝗧𝗜𝗖𝗟𝗘 𝗣𝗥𝗢𝗖𝗘𝗦𝗦𝗜𝗡𝗚 𝗖𝗛𝗔𝗥𝗚𝗘𝗦
Articles accepted for publication in the Journal of Causal Inference are subject to Article Processing Charges (APCs). The publication fee amounts to 1050 EUR. Authors who have no funding for the submitted research can apply for a waiver or a discount during the submission process. For more details please check the Article Processing Charges file available in Supplementary Materials on our website. https://www.degruyterbrill.com/jci

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