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A Case for Negative-Result Tracks

In Proceedings of the International Conference on Open and Reproducible AI Research (OPENAIR 2026), pp. 47–49. Nairobi, Kenya, 19 Oct 2026.

DOI 10.xxxx/ctm.pr.2026.0016 · ID CTM-PR-2026-0016

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Roussel, A. & Kovács, H. (2026). A Case for Negative-Result Tracks. In Proceedings of the International Conference on Open and Reproducible AI Research (OPENAIR 2026) (pp. 47–49). CONTINUUM Proceedings. doi:10.xxxx/ctm.pr.2026.0016

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Abstract

We argue that venues should offer an explicit track for well-designed studies that do not find the expected effect, and outline reviewing criteria that focus on design and power rather than outcome.

Keywords negative results · publication bias

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CTM-PR-2026-0016.pdf

Paper · PDF · pp. 47–49

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Roussel, A. & Kovács, H. (2026). A Case for Negative-Result Tracks. In Proceedings of the International Conference on Open and Reproducible AI Research (OPENAIR 2026) (pp. 47–49). CONTINUUM Proceedings. doi:10.xxxx/ctm.pr.2026.0016

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