Conference Information
CSCW 2024: ACM Conference on Computer-Supported Cooperative Work and Social Computing
https://cscw.acm.org/2024/
Submission Date:
2024-01-16
Notification Date:
Conference Date:
2024-11-09
Location:
San Jose, Costa Rica
Years:
27
CCF: a   CORE: a   QUALIS: a1   Viewed: 38487   Tracked: 63   Attend: 3

Call For Papers
CSCW is the premier venue for research in the design and use of technologies that support or affect groups, organizations, communities, and networks. Bringing together top researchers and practitioners, CSCW explores the technical, social, material, and theoretical challenges of designing technology to support collaborative work and life activities. We invite authors to submit papers that inform the design, development, or analysis of computer-supported collaborative or social systems by introducing novel methods, interaction techniques, or algorithms; or by rigorously studying technologically-enabled collaborative or social practices.

CSCW 2024 will explore topics across socio-technical domains of work, home, education, healthcare, the arts, design, entertainment, and ethics including social computing and social media, crowdsourcing, and technologies for co-located or remote collaboration, communication, education, work articulation, coordination, awareness, and information sharing. Papers may report on novel research results concerning systems design, development, or analysis, or introduce new approaches to the conceptualization or critical analysis of CSCW systems. Submissions exploring how CSCW systems — including those linked to recent developments in AI, machine learning, robotics, and AR/VR — relate to questions of race, indigeneity, gender, and the environment are particularly encouraged. Submissions by members of underrepresented groups are particularly welcome. Authors exploring historical and sociotechnical perspectives on CSCW systems are encouraged to participate.

We invite contributions to CSCW across a variety of research techniques, methods, approaches, and domains, including:

    Social and crowd computing. Studies, theories, designs, mechanisms, systems, and/or infrastructures addressing social media, social networking, wikis, blogs, online gaming, crowdsourcing, collective intelligence, virtual worlds, or collaborative information behaviors.
    System development. Hardware, architectures, infrastructures, interaction design, technical foundations, algorithms, and/or toolkits that enable the building of new social and collaborative systems and experiences.
    Data mining and modeling. Studies, analyses, and infrastructures for making use of large- and small-scale data.
    Methodologies and tools. Novel methods, or combinations of approaches and tools used in building collaborative systems or studying their use.
    Critical, historical, ethnographic analyses. Studies of technologically-enabled social and collaborative systems within and beyond work settings illuminating their historical, social, and material specificity, and/or exploring their political or ethical dimensions.
    Empirical investigations. Findings, guidelines, and/or studies of practices, communication, collaboration, or use, as related to collaborative technologies.
    Domain-specific social and collaborative applications. Including applications to healthcare, transportation, design, manufacturing, gaming, ICT4D, sustainability, education, accessibility, global collaboration, or other domains.
    Ethics and policy implications. Analysis of the implications of socio-technical systems and the algorithms that shape them.
    Collaboration systems based on emerging technologies. Mobile and ubiquitous computing, game engines, virtual worlds, multi-touch, novel display technologies, vision and gesture recognition, big data, MOOCs, crowd labor markets, SNSs, computer-aided or robotically-supported work, and sensing systems.
    Crossing boundaries. Studies, prototypes, or other investigations that explore interactions across disciplines, distances, languages, generations, and cultures, to help better understand how CSCW systems might help transcend social, temporal, and/or spatial boundaries.
Last updated by Dou Sun in 2023-10-20
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
201449713427%
201339013935.6%
201241516439.5%
20041765330.1%
20021933920.2%
20001993618.1%
19982204118.6%
19962004221%
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