The Association for Computing Machinery (ACM) is an international learned society for computing. It was founded in 1947, and is the world's largest scientific and educational computing society. The ACM is a non-profit professional membership group, with nearly 100,000 members as of 2019. Its headquarters are in New York City.
Computational semiotics is an interdisciplinary field that applies, conducts, and draws on research in logic, mathematics, the theory and practice of computation, formal and natural language studies, the cognitive sciences generally, and semiotics proper. A common theme of this work is the adoption of a sign-theoretic perspective on issues of artificial intelligence and knowledge representation. Many of its applications lie in the field of human-computer interaction (HCI) and fundamental devices of recognition.
The World Wide Web has become a major delivery platform for a variety of complex and sophisticated enterprise applications in several domains. In addition to their inherent multifaceted functionality, these Web applications exhibit complex behaviour and place some unique demands on their usability, performance, security, and ability to grow and evolve. However, a vast majority of these applications continue to be developed in an ad-hoc way, contributing to problems of usability, maintainability, quality and reliability. While Web development can benefit from established practices from other related disciplines, it has certain distinguishing characteristics that demand special considerations. In recent years, there have been developments towards addressing these considerations.
Software visualization or software visualisation refers to the visualization of information of and related to software systems—either the architecture of its source code or metrics of their runtime behavior- and their development process by means of static, interactive or animated 2-D or 3-D visual representations of their structure, execution, behavior, and evolution.
The IEEE Communications Society (ComSoc) promotes the advancement of science, technology and applications in communications and related disciplines. It fosters presentation and exchange of information among its members and the technical community throughout the world. The Society maintains a high standard of professionalism and technical competency. The IEEE Communications Society is a professional society of the IEEE.
IEEE Computer Society is a professional society of IEEE. Its purpose and scope is "to advance the theory, practice, and application of computer and information processing science and technology" and the "professional standing of its members." The CS is the largest of 39 technical societies organized under the IEEE Technical Activities Board.
University of Electronic Science and Technology of China (UESTC) is a national key university directly under the Ministry of Education of China. UESTC was included as one of the first universities into "Project 211" in 1997, and then the nation's “Project 985” in 2001. It is a Chinese Ministry of Education Class A Double First Class University.
A digital ecosystem is a distributed, adaptive, open socio-technical system with properties of self-organisation, scalability and sustainability inspired from natural ecosystems. Digital ecosystem models are informed by knowledge of natural ecosystems, especially for aspects related to competition and collaboration among diverse entities. The term is used in the computer industry, the entertainment industry, and the World Economic Forum.
Lawrence Jay Rosenblum is an American mathematician, and Program Director for Graphics and Visualization at the National Science Foundation.
The IEEE Society on Social Implications of Technology (SSIT) is a professional society of the Institute of Electrical and Electronics Engineers (IEEE). The society's Field of Interest is, according to its constitution;
The IEEE Systems, Man, and Cybernetics Society is a professional society of the IEEE. It aims "to serve the interests of its members and the community at large by promoting the theory, practice, and interdisciplinary aspects of systems science and engineering, human-machine systems, and cybernetics".
SC, the International Conference for High Performance Computing, Networking, Storage and Analysis, is the annual conference established in 1988 by the Association for Computing Machinery and the IEEE Computer Society. In 2016, about 11,000 people participated overall. The not-for-profit conference is run by a committee of approximately 600 volunteers who spend roughly three years organizing each conference.
Christopher Ray Johnson is an American computer scientist. He is a Distinguished Professor of Computer Science at the University of Utah, and founding director of the Scientific Computing and Imaging Institute (SCI). His research interests are in the areas of scientific computing and scientific visualization.
Bir Bhanu is the Marlan and Rosemary Bourns Endowed Presidential Chair in Engineering, the Distinguished Professor of Electrical and Computer Engineering, and Cooperative Professor of Computer Science and Engineering, Mechanical Engineering and Bioengineering, at the Marlan and Rosemary Bourns College of Engineering at the University of California, Riverside. He is the Founding Director of the Center for Research in Intelligent Systems (CRIS) and the Visualization and Intelligent Systems Laboratory (VISLab) at the University of California, Riverside, since 1998 and 1991, respectively. He was the Interim Chair of the Department of Bioengineering at UC Riverside from July 2014 to June 2016. Additionally, he has been the Director of the NSF Integrative Graduate Education, Research and Training (IGERT) program in Video Bioinformatics at UC Riverside. He was the first Founding Faculty of the Marlan and Rosemary Bourns College of Engineering at the University of California, Riverside and served as the Founding Chair of Electrical Engineering from 1991 to 1994. Dr. Bhanu has been the principal investigator of various programs for NSF, DARPA, NASA, AFOSR, ONR, ARO and other agencies and industries in the areas of object/target recognition, learning and vision, imagine/video understanding, image/video databases with applications in security, defense, intelligence, biological and medical imagining, biometrics, autonomous navigation and industrial machine vision.
Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science is the same concept as data mining and big data: "use the most powerful hardware, the most powerful programming systems, and the most efficient algorithms to solve problems".
Computational social science refers to the academic sub-disciplines concerned with computational approaches to the social sciences. This means that computers are used to model, simulate, and analyze social phenomena. Fields include computational economics, computational sociology, cliodynamics, culturomics, and the automated analysis of contents, in social and traditional media. It focuses on investigating social and behavioral relationships and interactions through social simulation, modeling, network analysis, and media analysis.
Anastasia Ailamaki is a Cyprus-born, Greek full professor at the École Polytechnique Fédérale de Lausanne in Switzerland, appointed December 12, 2007. As of 2008 leads the Data-Intensive Applications and Systems (DIAS) laboratory at the Ecole Polytechnique Federale de Lausanne (EPFL). The DIAS lab conducts a research in communication between database software and both the application layer and the underlying hardware platforms.
Social media mining is the process of obtaining big data from user-generated content on social media sites and mobile apps in order to extract patterns, form conclusions about users, and act upon the information, often for the purpose of advertising to users or conducting research. The term is an analogy to the resource extraction process of mining for rare minerals. Resource extraction mining requires mining companies to sift through vast quantities of raw ore to find the precious minerals; likewise, social media mining requires human data analysts and automated software programs to sift through massive amounts of raw social media data in order to discern patterns and trends relating to social media usage, online behaviours, sharing of content, connections between individuals, online buying behaviour, and more. These patterns and trends are of interest to companies, governments and not-for-profit organizations, as these organizations can use these patterns and trends to design their strategies or introduce new programs, new products, processes or services.
