• DocumentCode
    3651115
  • Title

    Supporting Collaborative Decision Processes

  • Author

    Roman Vaculín;Richard Hull;Maja Vukovic;Terry Heath;Nathaniel Mills; Yutian Sun

  • Author_Institution
    IBM T.J. Watson Res. Center, Hawthorne, NY, USA
  • fYear
    2013
  • fDate
    6/1/2013 12:00:00 AM
  • Firstpage
    651
  • Lastpage
    658
  • Abstract
    Collaborative Decision Processes focus on long-running, multi-faceted decisions (e.g., the planning and approval process for a municipal development project) made by teams of people. Such decisions can draw on the crowd in a variety of ways, by enabling large-scale on-line brainstorming, crowd-sourced queries, and text mining to determine public sentiments and derive new insights. Such decision processes consist of a combination of structured and highly unconstrained, human-drive activities. This paper describes a framework and a prototype system for support of collaborative decision processes based on declarative, data-centric dynamic artifacts and Advanced Case Management.
  • Keywords
    "Collaboration","GSM","Motion pictures","Data models","Planning","Proposals"
  • Publisher
    ieee
  • Conference_Titel
    Services Computing (SCC), 2013 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/SCC.2013.26
  • Filename
    6649753