Journal Guide

ACM/IMS Journal of Data Science (JDS) is a joint Gold Open Access journal of the Association of Computing Machinery (ACM) and the Institute of Mathematical Statistics (IMS), publishing high-impact research from all areas of data science, across foundations, applications and systems. 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.

For detailed information such as reviewing policies, author instructions, timelines, and editorial board please visit the JDS website at: jds.acm.org

ACM AI Letters (AILET) is envisioned to become the premier rapid-publication venue for impactful, concise, and timely communications in AI. Bridging a crucial gap between traditional conferences and journals, ACM AI Letters will feature short peer-reviewed contributions that accelerate knowledge dissemination across academia and industry. This unique publication prioritizes theoretical breakthroughs, algorithmic innovation, practical real-world applications, and critical societal implications, including ethics, policy, and responsible AI. It also introduces a distinctive space for rigorously reviewed opinion pieces and policy briefs, promoting swift engagement with contemporary issues shaping the AI landscape.

The ACM CHI Conference on Human Factors in Computing Systems is the premier international conference of Human-Computer Interaction. For first-time attendees, CHI is a place where researchers and practitioners gather from across the world to discuss the latest in interactive technology. We are a multicultural community from highly diverse backgrounds who together investigate new and creative ways for people to interact.

The ACM Computing Surveys publishes surveys of and tutorials on areas of computing research or practice. See the Editorial Charter available at http://www.acm.org/surveys/Charter.html for further details. Contributions should conform to generally accepted practices for scientific papers with respect to organization and style.Types of PapersSubmissions must be of one of the following types.Survey paper A paper that summarizes and organizes recent research results in a novel way that integrates and add understanding to work in the field. A survey article assumes a general knowledge of the area; it emphasizes the classification of the existing literature, developing a perspective on the area, and evaluating trends. Tutorial paper A paper that organizes and introduces work in the field. A tutorial paper assumes its audience is inexpert; it emphasizes the basic concepts of the field and provides concrete examples that embody these concepts. Symposium Proposals Proposals for editing Symposium issues covering areas or topics of research, such as the Symposium on Artificial Intelligence appearing in Volume 27, Number 3 (September 1995). Paper LengthPapers should not normally exceed 35 pages when formatted using the Surveys style. When justified, additional material may be published in an electronic supplement. Manuscripts of excessive length may be rejected without review.

ACM Journal of Data Science (JDS) is a Gold Open Access journal of the Association for Computing Machinery (ACM) publishing high-impact research from all areas of data science, across foundations, applications, and systems. 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.

For detailed information such as reviewing policies, author instructions, timelines, and editorial board please visit the JDS website at: jds.acm.org

The ACM Journal on Emerging Technologies in Computing Systems invites submissions of original technical papers describing research and development in emerging technologies in computing systems. Major economic and technical challenges are expected to impede the continued scaling of semiconductor devices. This has resulted in the search for alternate mechanical, biological/biochemical, nanoscale electronic, green and sustainable computing, asynchronous and quantum computing, and sensor technologies. As the underlying nanotechnologies continue to evolve in the labs of chemists, physicists, and biologists, it has become imperative for computer scientists and engineers to translate the potential of the basic building blocks (analogous to the transistor) emerging from these labs into information systems. Their design will face multiple challenges ranging from the inherent (un)reliability due to the self-assembly nature of the fabrication processes for nanotechnologies, from the complexity due to the sheer volume of nanodevices that will have to be integrated for complex functionality, and from the need to integrate these new nanotechnologies with silicon devices in the same system.

language design for sequential and parallel programming programming language implementation programming language semantics compilers and interpreters runtime systems for program execution storage allocation and garbage collection languages and methods for writing program specifications languages and methods for secure and reliable programs testing and verification of programsPapers can be either theoretical or experimental in style, but in either case, they must contain innovative and novel content that advances the state of the art of programming languages and systems. We also invite strictly experimental papers that compare existing approaches, tutorial, and survey papers.