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SciCrowd: Towards a Hybrid, Crowd-Computing System for Supporting Research Groups in Academic Settings

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Collaboration and Technology (CRIWG 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11001))

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Abstract

The increasing amount of scholarly literature and the diversity of dissemination channels are challenging several fields and research communities. A continuous interplay between researchers and citizen scientists creates a vast set of possibilities to integrate hybrid, crowd-machine interaction features into crowd science projects for improving knowledge acquisition from large volumes of scientific data. This paper presents SciCrowd, an experimental crowd-powered system under development “from the ground up” to support data-driven research. The system combines automatic data indexing and crowd-based processing of data for detecting topic evolution by fostering a knowledge base of concepts, methods, and results categorized according to the particular needs of each field. We describe the prototype and discuss its main implications as a mixed-initiative approach for leveraging the analysis of academic literature.

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Notes

  1. 1.

    https://www.mturk.com/.

  2. 2.

    https://fold.it/portal/.

  3. 3.

    http://dblp.uni-trier.de/.

  4. 4.

    https://docs.google.com/forms/.

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Acknowledgements

This work is financed by the ERDF – European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation - COMPETE 2020 Programme within project «POCI-01-0145-FEDER-006961», and by National Funds through the Portuguese funding agency, FCT - Fundação para a Ciência e a Tecnologia as part of project «UID/EEA/50014/2013».

Author information

Authors and Affiliations

  1. University of Trás-os-Montes e Alto Douro, UTAD, Vila Real, Portugal

    António Correia, Hugo Paredes & Benjamim Fonseca

  2. INESC TEC, Porto, Portugal

    António Correia, Hugo Paredes & Benjamim Fonseca

  3. Tércio Pacitti Institute of Computer Applications and Research (NCE), Federal University of Rio de Janeiro, Rio de Janeiro, Brazil

    Daniel Schneider

Authors
  1. António Correia
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  2. Daniel Schneider
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  3. Hugo Paredes
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  4. Benjamim Fonseca
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Corresponding author

Correspondence to António Correia .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Faculty of Science and Technology, Universidade NOVA de Lisboa, Caparica, Portugal

    Armanda Rodrigues

  2. Universidade de Trás-os-Montes e Alto Douro, Vila Real, Portugal

    Benjamim Fonseca

  3. Department of Computer Science, Faculty of Science and Technology, Universidade NOVA de Lisboa, Caparica, Portugal

    Nuno Preguiça

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Correia, A., Schneider, D., Paredes, H., Fonseca, B. (2018). SciCrowd: Towards a Hybrid, Crowd-Computing System for Supporting Research Groups in Academic Settings. In: Rodrigues, A., Fonseca, B., Preguiça, N. (eds) Collaboration and Technology. CRIWG 2018. Lecture Notes in Computer Science(), vol 11001. Springer, Cham. https://doi.org/10.1007/978-3-319-99504-5_4

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  • DOI: https://doi.org/10.1007/978-3-319-99504-5_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99503-8

  • Online ISBN: 978-3-319-99504-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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