DATA COLLECTION, INFORMATION SHARING & INTER-AGENCY COOPERATION: EXPERIENCES IN NEPAL ALEXANDRA ROBINSON UNIVERSITY OF EDINBURGH TINY HANDS INTERNATIONAL.

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Presentation transcript:

DATA COLLECTION, INFORMATION SHARING & INTER-AGENCY COOPERATION: EXPERIENCES IN NEPAL ALEXANDRA ROBINSON UNIVERSITY OF EDINBURGH TINY HANDS INTERNATIONAL

NEPAL: THE CONTEXT EXTREME POVERTY UNEMPLOYMENT CASTE, GENDER POLITICAL INSTABILITY RESOURCE LIMITATIONS (HUMAN, TECHNOLOGICAL, INFORMATION) LEGAL AMBIGUITY OPEN BORDER 2 2

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 3 3

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 4 4

BORDER MONITORING: SOLUTIONS NEW TOOLS: Expanded VIF HUMAN RESOURCES: trainings, support staff, specialization, hiring, OVERSIGHT TECH RESOURCES PARTNERSHIPS; MOUs, protocols 5 5

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 6 6

RISKS, LIMITATIONS & CONTINUAL CHALLENGES HUMAN RESOURCE limitations > OVERSIGHT, monitoring, evaluation: time intensive Enforcing policies and procedures Staff security Political and LE turnover 7 7

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 8 8

DATA SHARING TYPES OF INTELLIGENCE (1) Cursory (2) Close Associates (3) Transnational networks Privacy protocols & MOUs System integration = difficult, standardized template = doable General reports 9 9

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 10

QUESTIONS? 11