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Author Paulina Potemski; Nada Matta; Patrick Laclémence pdf  isbn
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  Title Modelling Women's Living Conditions' in Violence using KM techniques Type Conference Article
  Year 2020 Publication ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2020  
  Volume Issue Pages 27-34  
  Keywords Women Conditions Life, Violence, Integrism Women Recruitment, Knowledge Management, Living Condition's Improvement, Tradition.  
  Abstract According to the United Nations Secretary General, gender equality has advanced in recent decades we are leaving in unprecedented global efforts to advance on women' empowerment. For example, girls' access to education has improved, the rate of child marriage declined and progress was made in the area of sexual and reproductive health and reproductive rights, including fewer maternal deaths. Nevertheless, gender equality remains a persistent challenge for countries worldwide and the lack of such equality is a major obstacle to sustainable development (Golombok et al, 1994, UNSG report, 2017). There are various inequity factors women confront. Women are the population that suffers most from different forms of discrimination. All of them root women's inferiority, women's dependence and as a matter of consequence, create a vicious circle of a domination system. Domination systems of men over women are all the more pernicious and harsher when combined with extreme poverty, remote living areas and conflicts. We discuss in this paper the fact that women are the population which underlive most difficult living conditions especially when violence and tradition are combined. Modelling life conditions put on the main factors of this violence and its consequences.  
  Address ICD, University of Technologie of Troyes, Troyes, France; ICD, University of Technologie of Troyes, Troyes, France; ICD, University of Technologie of Troyes, Troyes, France  
  Corporate Author Thesis  
  Publisher Virginia Tech Place of Publication Blacksburg, VA (USA) Editor Amanda Hughes; Fiona McNeill; Christopher W. Zobel  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title (up)  
  Series Volume Series Issue Edition  
  ISSN 978-1-949373-27-3 ISBN 2411-3389 Medium  
  Track AI Systems for Crisis and Risks Expedition Conference 17th International Conference on Information Systems for Crisis Response and Management  
  Notes paulina.potemski@utt.fr Approved no  
  Call Number Serial 2204  
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