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Data for the Wellbeing of Most Vulnerable

Participating journal: EPJ Data Science
Thus, the aim of this topical collection is to encourage the community to use new sources of data as well as methodologies to study the wellbeing of vulnerable populations. The selection of appropriate data sources, identification of vulnerable groups, and ethical considerations in the subsequent analysis are of great importance in the extension of the benefits of big data revolution to these populations. As such, the topic is highly multidisciplinary, bringing together researchers and practitioners in computer science and AI, epidemiology, demography, linguistics, and many others.

Participating journal

EPJ Data Science is an open access journal focusing on new scientific methods for analyzing and synthesizing massive data sets to achieve new insights into societal phenomena Covers...

Editors

  • Kyriaki Kalimeri

    ISI Foundation, Turin, Italy / UNICEF
  • Daniela Paolotti

    ISI Foundation, Turin, Italy
  • Mattia Mazzoli

    ISI Foundation, Turin, Italy
  • Andreas Kaltenbrunner

    Universitat Oberta de Catalunya and Universitat Pompeu Fabra, Barcelona, Spain

Articles

Showing 1-7 of 7 articles