ECD, 2nd Task Force Meeting on Charting Illicit Trade - Nathalie Morandini
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The Trafficked Migrant Assistance Database (TMAD) is a web-based case management tool developed by IOM to assist victims of trafficking, with over 25,000 registered cases since 2012. In 2013, IOM provided assistance to over 6,400 trafficking victims globally, with significant data on demographics, exploitation types, and assistance provided across various regions. The document also discusses the preparation of a Human Trafficking Information Exchange to improve anti-trafficking policies through enhanced data collection and analysis.
ECD, 2nd Task Force Meeting on Charting Illicit Trade - Nathalie Morandini
- 1. The IOM Trafficked Migrant Database TMAD Paris, March 6, 2014
- 2. Overview 1. What is the TMAD 2. How data is collected 3. Information contained in the database 4. IOM’s assistance in 2013: Global 5. IOM’s assistance in 2013: Europe 6. Publications based on IOM’s data 7. In preparation: IOM’s Human Trafficking Information Exchange
- 3. 1. What is the TMAD • The CTM (2000-2012) A case management database created in 2000 to assist victims of trafficking (VoTs). • The TMAD (2012 - ) Since 2012, the CTM moved to a web-based system: the TMAD (Trafficked Migrants Assistance Database). It is anticipated to be fully functional by 2015. The TMAD is a case management tool as well as a unique knowledge bank with over 25’000 registered cases.
- 4. 2. How data is collected 1. IOM Counter-Trafficking Caseworkers interview individuals referred to IOM Missions to assess whether they might be victims of trafficking → IOM Screening Interview Form 2. In case of eligibility for assistance, the VoT is further interviewed to assess the nature of direct assistance needed and to gather further details about their trafficking experience. → IOM Assistance Interview Form
- 5. 3. Information contained in the database • Demographic background • Recruitment and transportation process • Patterns of exploitation and abuse • Etc. (over 200 variables) Caveats: • The data collected is project- specific: only captures data on IOM assisted trafficking beneficiaries. The trends are not representative of the local reality • No detailed information about the prosecution cases • No information from traffickers (it is a victim-centred approach)
- 6. 4. IOM’s assistance in 2013: Global Over 6’400 VoTs identified and assisted by more than 65 IOM country missions 4% 16% 25% 28% 15% 12% Regional Breakdown of Assistance Africa South & Central Asia East Asia & pacific Europe Near East Western Hemisphere
- 7. 4. IOM’s assistance in 2013: Global 43% 57% Global Gender Breakdown Male Female 19% 81% Global Age Breakdown Minor Adult 20% 80% Global Breakdown Trafficking Type Internal International
- 8. 4. IOM’s assistance in 2013: Global 13% 65% 8% 1% 1% 1% 10% 1% Global Breakdown Type of Exploitation Sexual Exploitation Forced Labor Domestic Servitude Begging low level criminal activities Combined sexual & forced labor Other Unknown /not available
- 9. 4. IOM’s assistance in 2013: Global 1378 380 343 316 315 297 282 271 260 224 RUSSIAN FEDERATION HAITI YEMEN JORDAN UNITED ARAB EMIRATES KAZAKHSTAN INDONESIA EGYPT AFGHANISTAN MALAYSIA Top 10 countries of destination 1467 903 519 449 390 259 191 178 117 107 INDONESIA UKRAINE UZBEKISTAN ETHIOPIA HAITI AFGHANISTAN SRI LANKA UGANDA PHILIPPINES ERITREA Top 10 assisted by nationality
- 10. 5. IOM’s assistance in 2013: Europe Over 1’900 VoTs assisted in Europe 4% 96% Age breakdown Under 18 18 and over 25% 70% 5% Types of exploitation Sexual exploitation Forced labor Other 929 353 95 92 70 Top 5 countries of assistance in Europe
- 11. 6. Publications based on IOM’s data Available at: http://publications.iom.int/bookstore/ •(2008) Trafficking in men, a trend less considered. The case of Ukraine and Belarus. IOM Geneva •(2010) The Causes and Consequences of Re-trafficking: Evidence from the IOM Human Trafficking Database. IOM Geneva •(2010) Beneath the surface. Some methodological issues in trafficking research and data collection. Geneva: IOM & Washington: NEXUS Institute. •(2012) Trafficked to sea. The exploitation of Ukrainian seafarers and fishermen. Geneva: IOM & Washington: NEXUS Institute. •(Mid-2013) Trafficked for construction. Experiences from Ukraine. Geneva: IOM & Washington: NEXUS Institute.
- 12. 7. In preparation: IOM’s Human Trafficking Information Exchange Overall Objective Improve anti-trafficking policy by strengthening the knowledge base with an enlarged, high quality primary dataset. Specific Objectives 1.Expand the available dataset 2.Improve analytical capacity 3.Evaluate policy and programmatic responses
- 13. 7. In preparation: IOM’s Human Trafficking Information Exchange Expand the available dataset •Increasing use of the TMAD •Create technical platform for data sharing •Coordinate anonymized datasets on standardized core variables (18) with relevant trafficking victim assistance agencies Improve analytical capacity •Conclude partnerships with key universities/research institutions •Train partners on core variable collection methodology •Create a web hub to facilitate dissemination and communication Evaluating Responses •Establish partnerships with research institutions •Involve other large IGOs •Assess main policy and programmatic areas for impact •Rely on aggregated primary dataset as baseline
- 14. 7. In preparation: IOM’s Human Trafficking Information Exchange Main expected outcomes →Improved quantity and quality of primary data → Increased availability/frequency of primary data → Increased compatibility of primary data → Increased knowledge of impact and effectiveness of responses → Increased capacity to predict and react to change = Stronger Policies and Programmes
- 15. For more information Ms. Ayima OKEEVA Senior Research and Data Analysis Assistant Migrant Assistance Division IOM Geneva [email protected] Ms. Nathalie MORANDINI-SIEGRIST Database and Project Assistant Migrant Assistance Division IOM Geneva [email protected]