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IEEE CIC 2026: IEEE International Conference on Collaboration and Internet Computing

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IEEE CIC
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投稿締切日:
2026-08-15
通知日:
2026-09-20
開催日:
2026-11-04
開催地:
San Jose, California, USA
開催回数:
閲覧: 22172   フォロー: 4   参加: 2

会伴インデックス (CP-I)

54.7 / 100
全 5,683 件中 第 863 位 · 上位 16%

ネットワーク・通信 分野 864 件中 第 111 位

学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
69
コミュニティの注目度 (10%)
29
公開情報の充実度 (15%)
70

使用した入力: 確認できる開催回数：12 · 会伴でフォローしている研究者：4 人 · 過去 24 か月にこのページを開いた研究者：5 人

公開情報で不足しているもの: 過去の採択率 (+4.5)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 45% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-09-21

論文募集

IEEE CIC 2026 (IEEE International Conference on Collaboration and Internet Computing) is an academic conference held in San Jose, California, USA on 2026-11-04. The paper submission deadline is 2026-08-15. Acceptance notifications are sent on 2026-09-20.

The Internet and AI have revolutionized the globalized society and enabled the growth of infrastructures, applications, and technologies that significantly enhance global interactions and collaborations that have a significant impact on society. Unprecedented cyber-social and cyber-physical infrastructures and systems that span geographic boundaries are possible because of the Internet technologies, including 5G and beyond, and the growing number of collaboration-enabling technologies such as generative AI, large language models (LLMs), machine learning, deep learning, reinforcement learning, federated learning, and multimodal learning. Individuals and organizations have increasingly relied on electronic and/or Internet-enabled collaboration between distributed teams of humans, computer applications, and/or autonomous robots to achieve higher productivity and produce collaboratively developed products that would have been impossible to develop without the contributions of multiple collaborators. Technology has evolved from standalone tools to open systems supporting collaboration in multi-organizational settings and from general-purpose tools to specialized collaboration platforms. Future collaboration and Internet computing solutions that further the goal of achieving the full potential of global-level collaboration require advancements in networking, technology and systems, user interfaces and interaction, cooperation and collaboration paradigms, and interoperation with application-specific components and tools. IEEE CIC has been conceived as the key multidisciplinary venue to serve as a premier international forum for discussion among academic and industrial researchers, practitioners, and students interested in Internet technologies, applications and services, collaborative networking, technology and systems, and applications. List of Topics Topics of interest include, but are not limited to: Collaboration and Internet computing in the Generative AI Era: Human-AI -People Collaboration Generative AI Large Language Models (LLMs) Machine learning & AI Deep learning Reinforcement learning Transfer learning AI and cybersecurity AI influence Multimodal learning Federated learning Large Language models Social computing Machine learning with graphs Enabling Internet technologies and systems for collaboration at scale: Internet enable Human-AI-People collaboration Internet-based technologies & infrastructure for collaboration From cloud to fog/edge for collaborative computing Internet of Everything for collaboration Data and service models for collaboration Quality of service and experience Service management and testing System engineering, metrics, and performance Cyber science and Data science Security, privacy, and trust in collaborative computing Resilient and trustworthy Internet Big data analytics for data-driven collaboration Social computing for collaboration Cognitive collaboration Web services and Service Oriented Architectures for Collaborative Internet services Approaches to collaboration: Crossover service computing Collaboration in pervasive and cloud computing environments Collaboration techniques in data-intensive computing and cloud computing Collaborative technologies for fast creation and deployment of new mobile services Collaborative sensor networks Social networks and services Human-provided and outsourcing of services Collaborative search and question answering Human computation and crowdsourcing Participatory sensing, crowdsourcing, and citizen science Collaboration computing between human and machine Collaborative technologies for cyber-physical-human environments Socio-technical and policy frameworks for collaboration and Internet computing Influence of/on CIC on/from other fields (arts and sciences, engineering, law, cultures, management, and economics, etc.) Applications: Domain-specific social and collaborative applications Platforms for process, factory, and industrial applications Vehicle networks and applications Smart cities and smart territories Collaborative robotics Collaborative E-Commerce Collaborative e-Learning environments Collaborative health networks and services Collaborative Science Collaboration for disaster/crisis management Collaborative manufacturing and supply chain management Collaboration for resilient critical infrastructures Collaboration for personalized services
最終更新：Dou Sun（）

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