This special issue is to bring together academic researchers and industry professionals into an interdisciplinary forum, to showcase state-of-the-art research and applications in all aspects of machine intelligence, human intelligence, and cyber-physical-social intelligence, enabled by complex interactions of cyber, physical, and social spaces.
The forum will stimulate efficient scientific and engineering solutions, identify, and address emerging needs and challenges for integration with new intelligent technologies, and provide directions for future research and development.
The aim of this Special Issue is to attract explainable methods to generate human readable explanations with the purpose to stimulate discussion on the design, use and evaluation of novel Explainable Deep Learning models as the critical knowledge-discovery drivers to recognize, interpret, process and simulate human emotion for various NLP tasks. This special issue aims to provide a much urgent and needed research work report in response to the ongoing COVID pandemic, and share novel ideas, techniques and results on computational social systems based smart emergency.
This special issue intends to solicit original research and practical contributions from both industry and academia to advance collaborative edge computing in social IoT systems, regarding the corresponding architecture, technologies and applications. This special issue aims to bring together researchers from both industry and academia to explore the potential of H-AI for social computing, including novel theories, concepts and paradigms as well as key techniques and typical applications.
This special issue is devoted to the most recent developments and research outcomes addressing the related theoretical and practical aspects on social sensing and privacy computing in intelligent social systems, and it also aims to provide worldwide researchers and practitioners an ideal platform to innovate new solutions targeting at the corresponding key challenges.
This special issue aims to provide a forum for researchers from the perspective of cognitive computing to present recent progress on state-of-the-art methods and applications to human behavior analysis.
Social networks are one of the most popular services in the last decade yet are still growing quickly. The Internet of Things IoT promises billions of smart devices interconnected that potentially will kickstart the next industrial revolution. Rapid advances in social networks, IoT, and other symbiotic technologies derive a strong need to integrate social networking into IoT and converge at a new paradigm named social Internet of Things SIoT.
The symbiosis of IoT and social networks integrates computing, communication, sensing and system engineering, which is to produce significant social implications for both the devices and humans. Computational methods to represent, model and analyze problems using social information have come a long way in the last decade.
Computational methods, such as social network analysis, have provided exciting insights into how social information can be utilized to better understand social processes, and model the evolution of social systems over time. This special issue provides a platform to bring together interdisciplinary researchers from areas, including computer science, applied mathematics, social sciences, and computer engineering, to showcase innovative research in computational social systems that leverage the emerging trends in parallel and distributed processing, computational modeling, and high performance computing.
Cities are complex systems that comprise physical infrastructure, cyber information, and social communities. Visual intelligence combines automatic analysis with interactive visualizations, and social intelligence manages complex social relations and environments. Both the IoT and blockchain are two of the most transformative technologies in the world today.
By employing the blockchain, IoT solutions can enable secure, trusted messaging between devices and maintain a decentralized, trusted leger of all transactions without the need to of centralized authority and management. This special issue aims to bring together researchers from both academia and industry to discuss the most recent advances on integrating social network with IoT solutions. Submissions for this issue will close on May 31, - Deadline Extended to December 31, This special issue aims to seek new understanding of attributes common to human and cyber society, and reveal theoretical and practical problems of cyber social systems in a computational way.
Challenges and solutions for open-data practice. For example, processes, methods, and tools that enable the collection, production, reproduction, enrichment, publication, brokerage, and co-development of open data between various actors, including governments, researchers, companies, citizens, journalists, students, NGOs, librarians, and intermediaries. Policies, governance, and decision-making for how to collect, produce, publish, share, and co-develop open data.
The role of public, private, and societal stakeholders in the collection, production, sharing, brokerage, co-development, and usage of open data. The role of open standards in enabling the collection, production, reproduction, enrichment, publication, brokerage, and co-development of open data.
Measures and metrics of data quality, as well as characteristics of collaboration and co-development, such as its productiveness, robustness, and diversity among the collaborating actors. Similarities and potential lessons learned from the collaborative practices present in Open Source Software communities and other types of communities or ecosystems. Legal and ethical aspects of open data, particularly in relation to the privacy and integrity of data providers.
Issues related to the needs for data for artificial intelligence and machine learning research and practice, and which role open data may play in this context. Manuscripts must not exceed 3, words, including figures and tables, which count for words each. Submissions in excess of these limits may be rejected without refereeing. The articles we deem within the theme and scope will be peer reviewed and are subject to editing for magazine style, clarity, organization, and space.
Articles should have a practical orientation and be written in a style accessible to practitioners. Articles should be novel. For general author guidelines: www. For more information about the focus, contact the guest editors at sw computer. Topics include, but are not limited to: Challenges and solutions for open-data practice. Join Us. Sign In. Conference Calendar. Calls for Papers.
Conference Proceedings. Conference Sponsorship Options. Conference Planning Services. Conference Organizer Resources. Get a Quote. CPS Dashboard. Author FAQ. Browse Publications. Cloud Continuum. Tech News Blog. Human-Computer Studies 66 — Cherry, S. The social side of software engineer- Tenenberg, J. An institutional analysis of software teams. Human-Computer Studies 66 7 , — Hanks, B. Empirical evaluation of distributed pair programming.
International Journal of Human-Computer Studies 66 7 , — Judith Good Hendry, D. Public participation in proprietary software Pablo Romero development through user roles and discourse. Rogers, E. Free Press, New York.
Collaboration and co-ordination in E-mail addresses: J. Good sussex. Good , mature eXtreme programming teams. International Journal of pablor sussex. Romero Human-Computer Studies 66 7 , — Related Papers Visualizing roles and design interactions in an open source software community By Warren Sack and jean-marie burkhardt. Distributed cognition in software engineering research: Can it be made to work? By Jorge Aranda. Download PDF.
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