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    Building a Social Machine for Graduate Mobility

    Author
    Keshan, Neha
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    Date Issued
    2021-06-01
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    URI
    https://dl.acm.org/doi/abs/10.1145/3462741.3466677?casa_token=6QfQns2d6ScAAAAA%3AIe2E3q3IGmp5ywAwXeq9Kqxb1cqytY6Hv6IadDrBJDjoL6NZA5iKEyObzHR_k14kDlxKFsJnmqU
    Abstract
    The paper discusses the construction of a social machine to solve a complex problem faced by doctoral students: “What Comes Next?” especially important during this pandemic when many traditional career paths have been compromised. This system utilizes TimeBank, SkillBank and Knowledge Graphs to provide users with an OpportunityBank: an opportunity to connect with other doctorates, to understand different career paths after graduation, alternative use of acquired skills, and to network sharing available positions, research work, and data. Users can collaborate while keeping an eye on what is happening in other social platforms. The system uses ‘prosopography narrative’ and provides a platform for ‘shadow institutes’, while maintaining provenance, trust, and accessibility to required information through knowledge graphs.;
    Description
    pages 156 - 157
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    Publisher
    13th ACM Web Science Conference 2021, 2021.
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