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CFP: HICSS-56 Minitrack on Data Science for Digital Collaboration

  • 1.  CFP: HICSS-56 Minitrack on Data Science for Digital Collaboration

    Posted 05-24-2022 23:49

    The 56th Hawaii International Conference on System Sciences Minitrack on
    Data Science for Digital Collaboration

    The evolution of digital collaboration technologies over the past decades has given rise to a new application domain of data science. These emerging technologies range from collaboration software for business such as enterprise collaboration systems and social networking tools, distributed ledger technology, and Internet of Things, to public collaboration platforms such as social media crowdsourcing platforms, and open source communities (e.g., GitHub). Businesses and organizations use these systems for collaboration on projects, knowledge management, supply chain management, and customer relationship management. The public can use them for collaboration, information sharing, community support, and social goods. Applying data science in these domains allows for leveraging the newly available digital trace data for gaining actionable knowledge and insights on how people collaborate and how these platforms facilitate digital collaboration, which can lead to improvements in system design as well as collaboration processes.

    This minitrack seeks papers that address, but are not limited to, the following topics:
       Social analytics in digital collaboration
       Process mining in digital collaboration
       Data science in blockchain and distributed ledger applications
       Data science in Internet of Things
       Data science in human-machine collaboration
       Data science in digital collaboration on social goods
       Collaborative analysis of big data
       Collaborative collection and management of big data
       Visualization of big data in digital collaboration
       Crowdsourcing analytics
       Security and privacy analytics in digital collaboration
       Human-guided knowledge discovery
       Humans in the loop data science
       Ethical and legal issues in collaborative data science
       Case studies on collaborative data science
       Best practice for collaboration in data science

    Upcoming Important Dates
    June 15             Papers due
    August 17         Notification of acceptance/rejection
    More detail about the minitrack can be found at the conference website: