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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

These comprehensive, readable surveys and tutorial papers give guided tours through the literature and explain topics to those who seek to learn the basics of areas outside their specialties in an accessible way. The carefully planned and presented introductions in Computing Surveys (CSUR) are also an excellent way for researchers and professionals to develop perspectives on, and identify trends in complex technologies. Contributions which bridge existing and emerging technologies (such as machine learning) with a variety of science and engineering domains in a novel and interesting way are also welcomed.

Contributions are intended to be accessible to a broad audience, featuring clear exposition, a lively tutorial style, and pointers to the literature for further study.

ACM Journal of Computer Documentation (JCD) provides a forum on documentation and user support for computer products and systems. Past issues have published topics on processes, methods, and technologies for on-line text, hypermedia, and multimedia.

A subscription to JCD is also included in SIGDOC membership.

ACM Journal of Experimental Algorithmics (JEA) is no longer accepting unsolicited submissions. The journal will cease publication after 2023. Authors of relevant papers are encouraged to submit their manuscripts to the new experimental track of ACM Transactions on Algorithms (TALG). JEA will continue to accept revisions of papers currently under review until 30 August 2023.

ACM Journal on Autonomous Transportation Systems aims to cover the topics in design, analysis, and control of autonomous transportation systems. The area of autonomous transportation systems is at a critical point where issues related to data, models, computation, and scale are increasingly important. Similarly, multiple disciplines including computer science, electrical engineering, civil engineering, etc., are approaching these problems with a significant growth in research activity. This area raises novel challenges for improving traffic operations, road safety, sustainability, and efficient road traffic and vehicle management in passenger and goods delivery. Indeed, the lives of people who travel along roads on a regular basis are directly affected by traffic management and safety. Such problems require communication cooperation on the road, including car-to-car and car-to-infrastructure. Further, unmanned aerial systems are also of interest. Efficient control and management decisions for transportation systems require interdisciplinary research across areas in communications and networking, control systems, machine learning, traffic engineering and transportation systems.

The expected topics of interest include, but are not limited to:

1. Data Science in Autonomous Transportation Systems
2. Communication and Real-Time Control in connected transportation systems
3. Smart traffic analysis, management, and control solutions
4. Public transit planning and operation
5. Cooperation, Decentralization in IoVs and UAVs
6. Algorithm Design for Autonomous Transportation Systems
7. Mathematical Modelling of Traffic Flow
8. Computation in Transportation Networks
9. Algorithms for Urban and Inter-city Logistics Systems

Inspired by the broad agenda of the United Nations Sustainable Development Goals (SDGs), ACM Journal on Computing and Sustainable Societies (JCSS) aims to publish significant and original research from a broad array of computer and information sciences, social sciences, environmental sciences, and engineering fields that support the growth of sustainable societies worldwide, especially including under-represented and marginalized communities. JCSS aims to explicitly promote interdisciplinary research work including new methodologies, systems, techniques, applications, behavioral, qualitative, and quantitative studies that addresses key societal challenges including sustainability, gender equality, health, education, poverty, accessibility, conservation, climate change, energy, infrastructure and economic growth, among others. We also welcome research on the ethics of technology, especially from a critical perspective, that explores limitations and concerns with technology-led solutions for sustainable societies. The journal will be published quarterly.

The ACM Journal on Emerging Technologies in Computing Systems (JETC) 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, 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. The journal provides comprehensive coverage of innovative work in the specification, design analysis, simulation, verification, testing, and evaluation of computing systems constructed out of emerging technologies and advanced semiconductors. Also of interest are innovations in system design for green and sustainable computing, and computing-driven solutions to emerging areas in biotechnology. Topics include, but are not limited to:

• Logic Primitive Design and Synthesis: how to design computational logic primitives from the new nanotechnologies, and design tools supporting their effective design and verification,
• System-Level Specification, Design and Synthesis: how to interconnect these computational primitives to build complete information systems, and design tools for specifying, synthesizing, and verifying such systems,
• Software-Level Specification, Design and Synthesis: how to develop the necessary software so that applications can be effectively mapped onto information systems implemented using these new nanotechnologies, and tools for generating and verifying the software, and
• Mixed-Technology Systems: how to interface across potentially hybrid nanotechnologies that may co-exist in the same information system.

The ACM Journal on Responsible Computing (JRC) publishes high-quality original research at the intersection of computing, ethics, information, law, policy, responsible innovation, and social responsibility from a wide range of convergent, interdisciplinary, multidisciplinary, and transdisciplinary perspectives. We welcome papers using any or a combination of computational, conceptual, qualitative, quantitative, and other methods to make contributions to knowledge, methods, practice, and theory, broadly defined. Relevant domains include but are not limited to:

• Values and ethics in the design and evaluation of computing and information technology;
• Ethical and societal implications of computing and information technology;
• Public interest technology (information technology that serves the public interest);
• Fairness, accountability, and transparency in computing and information technology;
• Computing, information, health, and wellbeing;
• Approaches to addressing threats such as adversarial machine learning, misinformation, and disinformation;
• Examples of how computing and information can be leveraged to achieve outcomes that benefit humanity.

SIGACCESS (formerly known as SIGCAPH) promotes the professional interests of computing personnel with physical disabilities and the application of computing and information technology in solving relevant disability problems. The SIG also strives to educate the public to support careers for the disabled.

Areas of Special Interest:

Aids and services for the handicapped and/or disabled.

SIGACT fosters and promotes the discovery and dissemination of high quality research in the domain of theoretical computer science. Subjects covered include algorithms, data structures, complexity theory, parallel computation, distributed computation, information theory, cryptography, program semantics and verification, machine learning, computational biology, VLSI, computational geometry, computational number theory and algebra, and the study of randomness. EATCS members also qualify for the $15 professional member rate.

SIGAda Ada Letters provides an information interchange forum on all aspects of the Ada language and Ada-related technologies, including usage, education, standardization, design methods and compiler implementation. SIGAda's annual conference addresses Ada's role in connection with topics such as software engineering, process improvement, CASE, object technology, computer science education, high-integrity software, real-time applications, COBRA, and Java.

SIGAPL fosters the development and application of the APL language via a lively exchange of ideas and techniques. Each year APL sponsors or co-sponsors an international APL conference at which leading-edge materials in the field are presented.

Areas of Special Interest
APL in the insurance and securities industries, standards, language enhancement (including object orientation and GUI capabilities) and new dialects of APL, extended character sets, parallel processing, building toolkits for common utilities.

SIGAPP, ACM's primary applications-oriented SIG, offers practitioners and researchers the opportunity to share mutual interest in innovative applications, technology transfer, experimental computing, strategic research, and the management of computing. This SIG also promotes widespread cooperation among business, government, and academic computing programs.

Areas of Special Interest
Integration of traditional computing disciplines such as graphics, databases, communication, software engineering, artificial intelligence and office automation with emerging technologies such as neural networks, logic and symbolic programming, expert systems, and image information systems.