The Association for Computing machinery (ACM), and the Institute of Mathematical Statistics (IMS), have announced the publication of the first issues of the ACM/IMS Journal of Data Science (JDS), a new peer-reviewed publication. The scope of the journal is multi-disciplinary and broad, spanning statistics, machine learning, computer systems, and the societal implications of data science. JDS accepts original papers as well as novel surveys that summarize and organize critical subject areas. The ACM/IMS Journal of Data Science is a Gold Open Access publication, permanently and freely available online for anyone, anywhere to read.
Data science is increasingly central to science and businesses world-wide. JDS aims to serve a diverse community of scientists and practitioners, helping to develop a common language and make the best research results easily accessible and broadly recognized. ACM/IMS JDS publishes high-impact research from all areas of data science, across foundations, applications and systems. By combining elements of journal and conference publishing, the journal aims to serve the needs of a rapidly evolving research landscape.
The Co-Editor-in-Chiefs of ACM/IMS Journal of Data Science are Jelena Bradic, University of California, San Diego; Stratos Idreos, Harvard University; and John Lafferty, Yale University.
In addition to the EiC’s, the ACM/IMS JDS Editorial Board includes nine Senior Editors: Jeffrey A. Blimes, Alexandra Chouldechova, Jianqing Fan, Kevin P. Murphy, Tamer Ozsu, Dimitris Politis, Alkis Polyzotis, Cynthia Rudin, and Eric Tchetgen Tchetgen; as well as 22 Associate Editors: Iavor Bojinov, Renata Borovica-Gajic, Peng Ding, Barbara Engelhardt, Sharad Goel, Nathan Kallus, Ed Kennedy, Georgia Koutrika, Sanjay Krishnan, Guoliang Li, Po-Ling Loh, Tengyu Ma, Jonas Peters, Mert Pilanci, Aaditya Ramdas, Andrej Risteski, Timos Sellis, Alkis Simitsis, Julia Stoyanovich, Alexander Volfovsky, Stefan Wager and Zhuoran Yang.
ACM publishes more than 70 scholarly peer-reviewed journals in dozens of computing and information technology disciplines. Available online through the ACM Digital Library, ACM’s high-impact journals constitute a vast and comprehensive archive of computing innovation, covering emerging and established computing research for both practical and theoretical applications.
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