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Workshops of the International Conference on Advanced Information Networking and Applications

WAINA 2020: Web, Artificial Intelligence and Network Applications pp 970–977Cite as

Analysis of Data for SCAN Project

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1150))

Abstract

According to the SCAN Project’s grant agreement, the Consortium must carry out 500 questionnaires and 100 semi-structured, qualitative interviews. This paper proposes the methodology enacted to formulate and present the indicators regarding the state of knowledge of the users on the project topics.

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Notes

  1. 1.

    §§ 3, 4 are to be attributed to all authors; § 1 and 2 in particular are to be attributed to Marco Giacalone.

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Acknowledgments

This paper has been produced with the financial support of the Justice Programme of the European Union SCAN project (Small Claims Analysis Net 2017–2019), Call (JUST-AG-2017/JUST-JCOO-AG-2017) under Grant Agreement No. 800830.

The contents of this report are the sole responsibility of the authors and can in no way be taken to reflect the views of the European Commission.

Author information

Authors and Affiliations

  1. University of Naples Federico II, via Claudio 21, 80125, Naples, Italy

    Alessandra Amato

  2. Vrije Universiteit Brussel & LSTS, 4B304, Pleinlaan 2, 1050, Brussels, Belgium

    Marco Giacalone

Authors
  1. Alessandra Amato
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  2. Marco Giacalone
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Corresponding author

Correspondence to Alessandra Amato .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Electrical Engineering and Information Technology, University of Naples “Frederico II”, Naples, Italy

    Flora Amato

  3. Department of Political Science, University of Campania Luigi Vanvitelli, Caserta, Italy

    Francesco Moscato

  4. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

  5. Department of Advanced Sciences, Hosei University, Tokyo, Japan

    Makoto Takizawa

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Amato, A., Giacalone, M. (2020). Analysis of Data for SCAN Project. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2020. Advances in Intelligent Systems and Computing, vol 1150. Springer, Cham. https://doi.org/10.1007/978-3-030-44038-1_88

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