Harvard Data Science Review

Harvard Data Science Review is a quarterly open access journal published by MIT Press for the Harvard Data Science Initiative, launched in 2019 on the PubPub platform, featuring foundational thinking, research milestones, educational innovations and major applications of data science with a primary emphasis on reproducibility, replicability and readability, with a 2025 Journal Impact Factor of 4.8.《哈佛数据科学评论》（Harvard Data Science Review）是哈佛数据科学计划（Harvard Data Science Initiative）主办、（MIT Press）出版的季刊开放获取期刊，2019 年创刊并在（PubPub）平台发布，以基础性思考、研究里程碑、教育创新与数据科学重大应用为特色，首要强调可复现性、可重复性与可读性，2025 年影响因子为 4.8。

Scope

• The journal features foundational thinking, research milestones, educational innovations and major applications, with a primary emphasis on reproducibility, replicability and readability.期刊发表基础性思考、研究里程碑、教育创新与重大应用成果，首要强调可复现性、可重复性与可读性。
• It aims to shape data science as a scientifically rigorous and globally impactful multidisciplinary field.期刊旨在推动数据科学成为一门科学严谨且具有全球影响力的多学科领域。
• It positions itself as a crossroads where fundamental data science research and education meet societally important applications from industry, governments and non-governmental organisations.期刊自我定位为交叉路口：一头是数据科学的基础研究与教育，另一头是来自产业、政府与非政府组织的重要社会应用。
• Its stated vision is a global forum on everything data science and data science for everyone.其愿景是成为关于一切数据科学、并服务于每一个人的数据科学的全球论坛。
• Content is organised into sections such as Panorama for overviews, visions and debates, Cornucopia for impact, innovation and knowledge transfer, Stepping Stones for learning, teaching and communication, and Milestones and Millstones for foundations, theories and methods.内容按栏目组织：（Panorama）刊载综述、愿景与争鸣，（Cornucopia）关注影响、创新与知识转移，（Stepping Stones）聚焦学习、教学与传播，（Milestones and Millstones）侧重基础、理论与方法。
• Regular columns cover book reviews, interviews, conversations, short essays and news, and the journal also runs a podcast and special themed collections.常设专栏涵盖书评、访谈、对话、短论与新闻，期刊还运营播客并推出专题合集。
• The journal blends the roles of a premier research journal, a cutting-edge educational publication and a popular magazine.期刊兼具一流研究期刊、前沿教育出版物与大众杂志三重角色。

History

• Harvard Data Science Review was launched in 2019 by the Harvard Data Science Initiative together with MIT Press, with the inaugural issue 1.1 appearing in the summer of that year.《哈佛数据科学评论》于 2019 年由哈佛数据科学计划与（MIT Press）联合创办，当年夏季出版创刊号 1.1 期。
• The founding Editor-in-Chief, Xiao-Li Meng of the Harvard Department of Statistics, set out the journal's programme in the inaugural editorial Data Science: An Artificial Ecosystem.创刊主编、哈佛大学统计系的（Xiao-Li Meng）在创刊社论《数据科学：一个人工生态系统》中阐述了期刊的办刊纲领。^[1]
• During Meng's sabbatical, Francesca Dominici and David Parkes served as interim Co-Editors-in-Chief from 2021 to 2023 and put more structure into the journal's editorial and review systems.孟晓丽学术休假期间，2021 至 2023 年由（Francesca Dominici）与（David Parkes）出任临时共同主编，两人进一步理顺了期刊的编辑与评审体系。
• In 2021 the journal won the PROSE Award of the Association of American Publishers for best new journal in science, technology and medicine.2021 年，该刊荣获美国出版商协会（Association of American Publishers）颁发的（PROSE）奖科学、技术与医学类最佳新刊。
• The journal is published on PubPub, the open-source publishing platform of MIT Press, and its inaugural volume has also been issued in print.期刊在（MIT Press）的开源出版平台（PubPub）上发布，其创刊卷另印刷出版。
• The journal received its first Journal Impact Factor of 2.5 for 2024, rising to 4.8 for 2025, when it was placed in Q1 in Statistics and Probability and in Q2 in Computer Science, Interdisciplinary Applications.该刊 2024 年首个影响因子为 2.5，2025 年升至 4.8，并在统计学与概率论类别列（Q1），在计算机科学（跨学科应用）类别列（Q2）。

Editors

• The founding Editor-in-Chief is Xiao-Li Meng, professor of statistics at Harvard University, whose work spans statistical theory and its applications across the sciences and public policy.创刊主编为哈佛大学统计学教授（Xiao-Li Meng），研究横跨统计理论及其在科学和公共政策领域的应用。
• Co-editors include Stephanie Dick of the University of Pennsylvania, John Eltinge formerly of the United States Census Bureau, Ralf Herbrich of the Hasso-Plattner Institute and Nicholas Horton of Amherst College.共同编辑包括宾夕法尼亚大学（University of Pennsylvania）的（Stephanie Dick）、美国人口普查局（United States Census Bureau）的（John Eltinge）、哈索·普拉特纳研究所（Hasso-Plattner Institute）的（Ralf Herbrich）与阿默斯特学院（Amherst College）的（Nicholas Horton）。
• Further co-editors are Frauke Kreuter of Ludwig Maximilians University of Munich and the University of Maryland, David Leslie of the Alan Turing Institute, Dacheng Xiu of the University of Chicago and Bin Yu of the University of California Berkeley.其余共同编辑为慕尼黑大学（Ludwig Maximilians University of Munich）与马里兰大学（University of Maryland）的（Frauke Kreuter）、艾伦·图灵研究所（Alan Turing Institute）的（David Leslie）、芝加哥大学（University of Chicago）的（Dacheng Xiu）与加利福尼亚大学伯克利分校（University of California Berkeley）的（Bin Yu）。
• Former co-editors include Michael Jordan, Jennifer Chayes, Erica Groshen, Bhramar Mukherjee, Margo Seltzer and Robert Lue, who died in 2020, as well as later departures Ryan Adams, Greg Lewis and Susan Paddock.历任共同编辑包括（Michael Jordan）、（Jennifer Chayes）、（Erica Groshen）、（Bhramar Mukherjee）、（Margo Seltzer）与 2020 年去世的（Robert Lue），以及后来离任的（Ryan Adams）、（Greg Lewis）与（Susan Paddock）。
• Submissions are handled in Editorial Manager, with initial screening by the Editor-in-Chief and the Editorial Board, and manuscripts that pass are assigned to a Handling Editor who seeks at least two independent reviewers.投稿在（Editorial Manager）系统中处理，主编与编委会先做初筛，通过后交由责任编辑送请至少两位独立审稿人。
• Review is single-blind, with authors known to reviewers and reviewers confidential, and decisions run through Reject, Revise or a Provisional Accept stage with final approval by the Editor-in-Chief.评审实行单盲，作者信息对审稿人公开而审稿人身份保密，决定分为退稿、修改与暂予接受，最终由主编批准。