Annals of Applied Statistics
Special Issue: Statistics and Artificial Intelligence
Call for Papers
Lexin Li, Editor-in-Chief
2025-09-01
Call for Papers
The Annals of Applied Statistics invites submissions for a special issue dedicated to the intersection of statistics and artificial intelligence (AI). This issue aims to deepen integration between the two fields, highlighting their complementary strengths and shared challenges across real-world applications. By bringing together innovative contributions, it seeks to advance methodological development, promote cross-disciplinary collaboration, and broaden the influence of statistical thinking in AI in all application areas.
Topics and Aspects
Papers should clearly identify a core problem motivated by significant real-world applications, where the integration of AI and statistical principles can produce novel and impactful solutions to applied sciences. Potential topics include, but are not limited to, modern AI-related study design, deep learning, reinforcement learning, representation learning, generative AI, large language models, and alignment, interpretation and uncertainty quantification of AI models. Applications may span the biological, medical, neural, environmental, physical, social, and political sciences, as well as the humanities, music, electronic health records, wearable technologies, and precision and smart health. The following types of papers, as well as their combinations, will be considered.
- How statistics contributes to AI: The focus should be on demonstrating how statistical principles and theories provide unique insights and enhanced solutions to the identified AI problems arising from various applications. Submissions should highlight how statistics can
inspire and strenghten AI methods and tools to advance real-world scientific discovery. - How AI contributes to statistics: The focus should be on illustrating how advances in AI provide new perspectives and tools that enrich statistical theories, methodologies, and applications. Submissions should demonstrate how AI techniques can enhance statistical
estimation and inference, and broaden the scope and impact of statistical applications.
Submission Guidelines
- Submission window: November 1, 2025 – December 5, 2025.
- Manuscripts must be original and not under review by other journals or conferences.
- Submissions should follow the journal’s formatting and submission guidelines.
- Authors should choose “Special Issue on Statistics and AI” in the type of manuscript category for submission.
Important Dates
- Submission window: November 1, 2025 – December 5, 2025.
- Completion of first round of review: March 1, 2026
- First revision due: June 1, 2026
- Completion of second round of review: August 1, 2026
- Second revision due: October 1, 2026
- Final decision on paper acceptance: November 1, 2026
- Publication of the special issue: December, 2026, or March, 2027
* All papers should be submitted within the specified submission window. The other listed dates represent “no later than” deadlines for revision submissions and reviews.
Special Issue Editors
- Lexin Li, Editor-in-Chief
- Michael R. Kosorok, Guest Editor
- Annie Qu, Guest Editor
- Catherine Calder, Area Editor
- Edward Kennedy, Area Editor
- Jessica Li, Area Editor
- Po-Ling Loh, Area Editor
- Tapabrata Maiti, Area Editor
- Peter Song, Area Edtior