Modelling Modern Slavery Risk

Cockayne, James, Gleason, Kelly A., Diego-Rossell, Pablo, Stewart, Shannon, Gauer Bermudez, Laura, Joudo Larsen, Jacqueline and Silverman, Bernard W (2019). Modelling Modern Slavery Risk. Delta 8.7 Symposia. United Nations University.

Document type:
Report
Collection:
UNU-CPR Research Papers

Metadata
Documents
Versions
Statistics
  • Attached Files (Some files may be inaccessible until you login with your UNU Collections credentials)
    Name Description MIMEType Size Downloads
    Symposium_ModellingModernSlaveryRisk_Final.pdf Symposium_ModellingModernSlaveryRisk_Final.pdf application/pdf 2.06MB
  • Sub-type Working paper
    Author Cockayne, James
    Gleason, Kelly A.
    Diego-Rossell, Pablo
    Stewart, Shannon
    Gauer Bermudez, Laura
    Joudo Larsen, Jacqueline
    Silverman, Bernard W
    Editor Cockayne, James
    Title Modelling Modern Slavery Risk
    Series Title Delta 8.7 Symposia
    Volume/Issue No. 1
    Publication Date 2019-02-01
    Place of Publication New York
    Publisher United Nations University
    Pages 24
    Language eng
    Abstract The report was undertaken by Delta 8.7 - The Alliance 8.7 Knowledge Platform, a project of the Centre for Policy Research at United Nations University. Delta 8.7 symposia offer experts the opportunity to discuss technical details of their research and receive commentary from the wider research and anti-slavery community. In this Symposium on Modelling Modern Slavery Risk, Pablo Diego-Rosell (Gallup), and Jacqueline Joudo-Larsen (Walk Free Foundation) discuss their innovative methodology for modelling the risk of modern slavery, while four other data science experts—Laura Gauer Bermudez and Shannon Stewart from the Global Fund to End Modern Slavery, Bernard Silverman from the University of Nottingham and Kelly Gleason from Delta 8.7—discuss the benefits and limitations of their approach. Diego-Rosell and Joudo Larsen were then given the opportunity to respond to all of the interventions.
    UNBIS Thesaurus TRAFFICKING IN PERSONS
    MEASURING INSTRUMENTS
    DATA MODELLING
    FORCED LABOUR
    RISK ASSESSMENT
    CHILD LABOUR
    Keyword Human trafficking
    Forced labour
    Data science
    Data for development
    Copyright Holder The Authors
    Copyright Year 2019
    Copyright type Creative commons
    ISBN 9789280865034
  • Versions
    Version Filter Type
  • Citation counts
    Google Scholar Search Google Scholar
    Access Statistics: 956 Abstract Views, 794 File Downloads  -  Detailed Statistics
    Created: Thu, 31 Jan 2019, 07:58:42 JST by Dursi, Anthony on behalf of UNU Centre