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Call for Papers | Statistical Learning and Data Science (SLADS) – New Journal Now Open for Submissions

  • 1.  Call for Papers | Statistical Learning and Data Science (SLADS) – New Journal Now Open for Submissions

    Posted 2 hours ago

    We are excited to announce the launch of Statistical Learning and Data Science (SLADS), 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, artificial intelligence, and data science.

    Advisory Board: David Donoho, Jianqing Fan, Michael Jordan, Jun Liu, Wing Hung Wong

    Editors in Chief: Song Xi Chen, Jiashun Jin

    Editors: Runze Li (Statistics), Weijie Su (Machine Learning), Hongyu Zhao (Data Science)

    Why Submit to SLADS?

    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

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

    Diverse

    ·          Covers a wide spectrum of topics in statistics, machine learning, artificial intelligence, 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.

    We welcome submissions to our ongoing special issues. We are also accepting regular submissions to the journal.

    Current Special Issue Calls:

    1. Special Issue on Statistics in the Second Quarter of the 21st Century

    Guest Editors: Song Xi Chen, Jiashun Jin

    1. Special Issue on Statistics and AI

    Guest Editors: Xiaowu Dai (UCLA), Linglong Kong (University of Alberta), Weijie Su (University of Pennsylvania), Zhihua Zhang (Peking University)

    1. Special Issue on Frontiers in Statistical Learning: Data, Networks, and Knowledge Transfer

               Guest Editors: Feng Yang (New York University), Guangming Pan (Nanyang Technological University), Jiaming Xu (Duke University), Emma Zhang (Emory University)

    1. Special Issue on Mathematical Statistics of Machine Learning

               Guest Editors: Cristina Butucea (CREST, ENSAE, IP PARIS), Edgar Dobriban (University Pennsylvania), Anru Zhang (Duke University)

    1. Special Issue on Data Science

               Guest Editors: Hongyu Zhao

    1. Special Issue on High-Dimensional Inference and Causal Inference

               Guest Editors: Runze Li, Chengchun Shi, Changliang Zou, Hui Zou

    1. Special Issue on High-Dimensional Data Modeling

               Guest Editors: Xinbing Kong, Degui Li, Runze Li, Hui Zou

    Submission & Contact:
    Manuscripts should be submitted via our website: http://slads.scichina.com
    For inquiries, please contact the Managing Editor, Ruiyan zhang: zhangry@scichina.com



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    Ruiyan Zhang
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