The first annual ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS 2018) invites submissions of Full Papers and Notes for the conference to be hosted at Facebook (San Francisco, CA) from June 20th to June 22nd, 2018. ACM COMPASS is a re-creation of the ACM DEV conference, which was held annually between 2010 and 2016. The new conference expands the focus of the original conference to explicitly welcome work on underrepresented communities worldwide and to include work on sustainability. To ensure strong technical contributions, the conference will accept papers and notes based on tracks corresponding to the computing areas they draw upon. The tracks for the 2018 conference are Systems, Human-Computer Interaction (HCI), Data Science, and Applications.
The CC-BY 4.0 license is only available for full and short research papers with selection of 1. the fee-based Open Access option and 2. the ACM Permission and Release Form (non-exclusive publishing license).
ACM brings together computing educators, researchers, and professionals to inspire dialogue, share resources, and address the field's challenges. As the world’s largest computing society, ACM strengthens the profession's collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM supports the professional growth of its members by providing opportunities for life-long learning, career development, and professional networking.
Founded at the dawn of the computer age, ACM’s reach extends to every part of the globe, with more than half of its 100,000 members residing outside the U.S. Its growing membership has led to Councils in Europe, India, and China, fostering networking opportunities that strengthen ties within and across countries and technical communities. Their actions enhance ACM’s ability to raise awareness of computing’s important technical, educational, and social issues around the world.
The CC-BY 4.0 license is only available for full and short research papers with selection of 1. the fee-based Open Access option and 2. the ACM Permission and Release Form (non-exclusive publishing license).
ACM brings together computing educators, researchers, and professionals to inspire dialogue, share resources, and address the field's challenges. As the world’s largest computing society, ACM strengthens the profession's collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM supports the professional growth of its members by providing opportunities for life-long learning, career development, and professional networking.
Founded at the dawn of the computer age, ACM’s reach extends to every part of the globe, with more than half of its 100,000 members residing outside the U.S. Its growing membership has led to Councils in Europe, India, and China, fostering networking opportunities that strengthen ties within and across countries and technical communities. Their actions enhance ACM’s ability to raise awareness of computing’s important technical, educational, and social issues around the world.
ACM Transactions on AI for Science (TAIS) speaks to a breadth of methodological researchers in AI/ML and science and engineering researchers. The audience for the journal includes core AI researchers who are more aligned to Computer Science, Applied/Engineering Mathematics, and Statistics, as well as those who are aligned to specific scientific subjects from Physics to Mathematics to Civil Engineering. The journal aims to publish articles that demonstrate scientific challenges can drive new AI (and reciprocally) and that experts in computational methods can have domain-specific mastery and drive new science themselves.
ACM Transactions on Algorithms welcomes submissions of original research of the highest quality dealing with algorithms that are inherently discrete and finite, and having mathematical content in a natural way, either in the objective or in the analysis. Most welcome are new algorithms and data structures, new and improved analyses, and complexity results. Specific areas of computation covered by the journal include * combinatorial searches and objects; * counting; * discrete optimization and approximation; * randomization; * parallel and distributed computation; * algorithms for * graphs, * geometry, * arithmetic, * number theory, * strings; * on-line analysis; * cryptography; * coding; * data compression; * learning algorithms; * methods of algorithmic analysis; * discrete algorithms for application areas such as * biology, * economics, * game theory, * communication, * computer systems and architecture, * hardware design, * scientific computing This area list will evolve as the research community explores new areas. In addition to original research articles TALG will include special features appearing from time to time such as invited columns and a problems section.
Individual articles published in ACM Transactions on Applied Perception are available through the Article Express International FAX service. If you wish to search for specific articles, go to our Past Issues. Note that abstracts for many of the articles are available online, and ACM TAP subscribers may download electronic versions of the latest articles.
The ACM Transactions on Architecture and Code Optimization focuses on hardware, software, and system research spanning the fields of computer architecture and code optimization. Articles that appear in TACO present new techniques and concepts or report on experiences and experiments with actual systems. Insights useful to architects, hardware or software developers, designers, builders, and are emphasized.
ACM Transactions on Autonomous and Adaptive Systems (TAAS) is a venue for high quality research contributions addressing foundational, engineering, and technological aspects of computing systems exhibiting emergent and adaptive behaviour. TAAS encourages contributions aimed at supporting the understanding, development, and control of such systems based on sound theoretical models, including but not limited to bio-inspired models. ACM TAAS spans complexity, self-adaptation, autonomic computing, and multi-agent systems. It addresses research being undertaken by an interdisciplinary research computing community -- and provide a common platform under which this work can be published and disseminated. Such a common view would consider macro-behavior of decentralized applications emerging from micro-behavior of its autonomous, possibly mobile components.
For the purposes of TOCL, the field of computational logic consists of all uses of logic in computer science. This area has a great tradition in computer science. Several researchers who earned the ACM Turing award have also contributed to this field, namely Edgar Codd (relational database systems), Stephen Cook (complexity of logical theories), Edsger W. Dijkstra, Robert W. Floyd, Tony Hoare, Amir Pnueli, and Dana Scott (program logics, program derivation and verification, programming languages semantics), Robin Milner (interactive theorem proving, concurrency calculi, and functional programming), and John McCarthy (functional programming and logics in AI).