Statistical Learning and Data Science (SLADS)

ISSN: 3051-3901

The first issue will be released in July 2026.

We are excited to announce the launch of our inaugural issue. Stay tuned for groundbreaking research and innovative discoveries.

Welcome to SLADS

SLADS is a peer-reviewed quarterly journal sponsored by the Chinese Academy of Sciences. It serves the international statistics and data science community by publishing cutting-edge research and fostering discussions on future developments across all data-driven disciplines, including but not limited to biology, economics, engineering, health sciences, humanities, physics, and social sciences. Dedicated to excellence, SLADS commits to publishing only the highest quality research with significant impact in statistics, machine learning, and data science.

Open:

Full open access with waived article processing charges (APCs)

Transparent yet rigorous peer review process powered by the OpenReview platform

Fast:

Desk rejection within 7 days

Single-round review with an author rebuttal phase

Almost final decision in 3.5 months

Immediate online publication of accepted manuscripts (pre-copyedited version)

Online publication (copyedited and proofed) within 7 days of final acceptance

Diverse:

Covers a wide spectrum of topics in statistics, machine learning, and data science, and welcomes contributions that introduce new datasets or present large-scale empirical studies.

Publishes Research papers, Review papers, Discussion papers, Short Communications, Perspectives, and Special topics.

Editorial Board

Editors in Chief

Song Xi Chen

Tsinghua University, China

Jiashun Jin

Carnegie Mellon University, USA

Editors

Runze Li

Pennsylvania State University, USA

Weijie Su

University of Pennsylvania, USA

Hongyu Zhao

Yale University, USA

Associate Editors

Cristina Butucea

CREST, ENSAE, IP PARIS, France

Edgar Dobriban

University of Pennsylvania, USA

Yang Feng

New York University, USA

Ruobin Gong

Rutgers University, USA

Zheng Tracy Ke

Harvard University, USA

Linglong Kong

University of Alberta, Canada

Xinbing Kong

Southeast University, China

Faming Liang

Purdue University, USA

Arian Maleki

Columbia University, USA

Yang Ning

Cornell University, USA

Yumou Qiu

Peking University, China

Cynthia Rush

Columbia University, USA

Chiara Sabatti

Stanford University, USA

Yiyuan She

Westlake University, China

Chengchun Shi

London School of Economics, UK

Stijn Vansteelandt

Ghent University, Belgium

Yuting Wei

University of Pennsylvania, USA

Yuhong Yang

Tsinghua University, China

Anru Zhang

Duke University, USA

Linjun Zhang

Rutgers University, USA

Zhihua Zhang

Peking University, China

Yize Zhao

Yale University, USA

Hui Zou

Univeristy of Minnesota, USA