DATA COLLECTION, INFORMATION SHARING &
INTER-AGENCY COOPERATION:EXPERIENCES IN NEPAL
ALEXANDRA ROBINSONUNIVERSITY OF EDINBURGH
TINY HANDS INTERNATIONAL
NEPAL: THE CONTEXT• EXTREME POVERTY• UNEMPLOYMENT• CASTE, GENDER • POLITICAL INSTABILITY • RESOURCE LIMITATIONS (HUMAN, TECHNOLOGICAL, INFORMATION)• LEGAL AMBIGUITY• OPEN BORDER
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BORDER MONITORING: THE PROBLEM• THE PROBLEM : THI had access to critical information, but lacked tools
and capacity to procure it, and the partnerships and skills to utilize it
• Critical need for victim advocates in order > prosecutions
• Information versus intelligence
• GOAL: to collect data to produce intelligence to:
1) Mobilize investigations and increase prosecutions
2) Map crime networks and help LE break them down
3) Comprehensive threat, trend analysis
4) Track changing strategies > allocate resources
• Maximize LIMITED RESOURCES to achieve MOST IMPACT
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BORDER MONITORING: CHALLENGES• TOOLS: the wrong questions,
missed opportunities • RESOURCE LIMITATIONS: time,
technology, infrastructure, skills, funds, staff
• LACK OF WILL• LACK OF TRUST: across sectors;
between organizations; information security**
• DUPLICATION & DISSENTION: inter-organizational
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BORDER MONITORING: SOLUTIONS
• NEW TOOLS: Expanded VIF
• HUMAN RESOURCES: trainings, support staff, specialization, hiring, OVERSIGHT
• TECH RESOURCES• PARTNERSHIPS; MOUs,
protocols
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THE OUTCOME
• Wealth of data and actionable intelligence
• Mobilization of investigations
• Increased prosecutions
• Effective collaboration; reduction of duplication > better resource management
• “Intelligence-led interventions”
• Resource maximization
• Effective victim services
• Trend Analysis
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RISKS, LIMITATIONS & CONTINUAL CHALLENGES
• HUMAN RESOURCE limitations > OVERSIGHT, monitoring, evaluation: time intensive
• Enforcing policies and procedures
• Staff security
• Political and LE turnover
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TRANSFERABLE? • Universal challenges: limited resources - & we all want
to maximize them
• Between organizations (aggregation analysis, resource allocation & streamlining)
• Between victim services & LE (missed opportunities)
• Information > COOPERATION > Intelligence
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DATA SHARINGTYPES OF INTELLIGENCE (1) Cursory (2) Close Associates (3) Transnational networks • Privacy protocols & MOUs• System integration = difficult,
standardized template = doable
• General reports
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THE IMPACT• Uplift localized anti-trafficking ops, increase
prosecutions• Cross-border/transnational operations• Organized crime (break down networks)• Cross-thematic crime (drugs, money laundering,
etc.) • Border security & response • Improve UK trafficking profile• Social impact: the victim
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