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Building a Social Machine for Graduate Mobility

Published: 21 June 2021 Publication History

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.

References

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Nabeel Ahmed, Sharifullah Khan, and Khalid Latif. 2016. Job description ontology. In 2016 International Conference on Frontiers of Information Technology (FIT). IEEE, 217–222.
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Joanne Bretherton and Nicholas Pleace. 2014. An Evaluation of the Broadway Skills Exchange Time Bank. (2014).
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Haihua Chen, Gaohui Cao, Jiangping Chen, and Junhua Ding. 2019. A Practical Framework for Evaluating the Quality of Knowledge Graph. In China Conference on Knowledge Graph and Semantic Computing. Springer, 111–122.
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Clare J Hooper, Melanie Nind, Sarah Parsons, Andrew Power, and Anne Collis. 2015. Building a social machine: co-designing a TimeBank for inclusive research. In Proceedings of the ACM Web Science Conference. 1–9.
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Dave Murray-Rust and Dave Robertson. 2014. LSCitter: building social machines by augmenting existing social networks with interaction models. In Proceedings of the 23rd International Conference on World Wide Web. 875–880.
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Dave Murray-Rust, Ségolène Tarte, Mark Hartswood, and Owen Green. 2015. On wayfaring in social machines. In Proceedings of the 24th International Conference on World Wide Web. 1143–1148.
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Nigel Shadbolt, Kieron O’Hara, David De Roure, and Wendy Hall. 2019. The theory and practice of social machines. Springer.
[8]
Lawrence Stone. 1971. Prosopography. Daedalus 100, 1 (1971), 46–79. http://www.jstor.org/stable/20023990
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Ségolène Tarte, Pip Willcox, Hugh Glaser, and David De Roure. 2015. Archetypal narratives in social machines: approaching sociality through prosopography. In Proceedings of the ACM web science conference. 1–10.

Cited By

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  • (2022)InDO: the Institute Demographic OntologyKnowledge Graphs and Semantic Web10.1007/978-3-030-91305-2_1(1-15)Online publication date: 1-Jan-2022

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      cover image ACM Conferences
      WebSci '21 Companion: Companion Publication of the 13th ACM Web Science Conference 2021
      June 2021
      157 pages
      ISBN:9781450385251
      DOI:10.1145/3462741
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      New York, NY, United States

      Publication History

      Published: 21 June 2021

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      Author Tags

      1. Graduate Mobility
      2. Knowledge Graphs
      3. Social Machine

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      WebSci '21
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      WebSci '21: WebSci '21 13th ACM Web Science Conference 2021
      June 21 - 25, 2021
      Virtual Event, United Kingdom

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      Overall Acceptance Rate 245 of 933 submissions, 26%

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      • (2022)InDO: the Institute Demographic OntologyKnowledge Graphs and Semantic Web10.1007/978-3-030-91305-2_1(1-15)Online publication date: 1-Jan-2022

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