Understanding Missing Persons Cases: A Training module on Data Collection and Analysis

In the complex and sensitive scenarios of missing persons, the ability to effectively collect and analyse information is of fundamental importance. These situations present unique challenges that require a methodical and empathetic approach. To best address these complexities, the LOST2 project, funded by the European Union, has developed a specific training module.
Named “Data Collection and Risk Assessment”, this course was designed by APCDV, specifically for professionals working in the field, such as law enforcement officers, social workers, members of search and rescue teams, and volunteers.
The primary objectives of the course, as covered in this module, are to empower participants to collect and analyse crucial information about a missing person’s family, social circles, and environmental context, and to perform valid risk assessments for both involuntary and voluntary disappearances. By the end, participants should be able to manage relevant information to build comprehensive profiles, deliver accurate risk assessments, and employ updated methodologies for investigations.
A foundational concept is understanding the types of disappearances, broadly categorized as involuntary (often involving criminal activity like abduction, kidnapping, human trafficking, or foul play) and voluntary (due to personal reasons like running away, escaping violence, or mental health issues). Involuntary disappearances are characterized by a lack of consent, criminal elements, immediate danger, and require urgent law enforcement response.
The module stresses the importance of clear definitions and terminology related to missing persons, including terms like “missing person,” “abduction,” and “runaway”. Different classifications, such as endangered, critical, and long-term, are used to prioritize efforts. A specific term defined is “Catastrophic Missing,” which refers to a child or adult reported missing and assumed to be a victim of some type of disaster, such as a fire, flood, earthquake, or terrorist act. The source also defines other categories like Dependent Adult, Lost, Parent/Family Abduction, Runaway, and Stranger Abduction.
Understanding the legal framework is also crucial. While disappearance isn’t inherently a crime, investigations are carried out, and national laws should include fundamental elements like a clear definition of a missing person, recognition of families’ right to information, criminalization of related international law violations, and establishment of investigative mechanisms. International conventions, such as the UN Convention on the Rights of the Child and various treaties addressing human rights and humanitarian law, provide a global context and promote measures to prevent disappearances.
The process begins with collecting initial information. First responders must gather relevant data about the missing person and their family with sensitivity, as reporting parties often experience helplessness and anxiety. A common myth that a specific time frame (like 24 hours) must pass before reporting is incorrect, and reports should be accepted immediately regardless of jurisdiction. Priority should be given to missing persons cases, especially those involving children or individuals with physical or mental limitations, as they are at greater risk. Initial information includes personal data, family dynamics and history, social networks and relationships, and environmental context.
A key element of the process is preparing a risk assessment. The level of risk assessed guides the nature and extent of the police response. Risk assessment is an ongoing process that should be based on current information and not solely on previous assumptions. It requires asking specific questions to understand the circumstances and potential dangers, such as why the person is worried, whether the disappearance is out of character, if the person has specific medical needs, or if they are at risk of harm, exploitation, or self-harm. Risk levels are typically classified as Very Low, Low, Medium, or High.
High-risk situations involve permanent and immediate danger to life or physical integrity, requiring immediate deployment of all available resources and potentially activating public alert systems like AMBER Alert (or “Alerta Rapto de Menores” in Portugal).
The module also covers techniques for summarizing and evaluating gathered information. This involves identifying key information, structuring reports clearly (using standardized formats and potentially digital tools), and evaluating data accuracy and reliability through methods like cross-verification from multiple sources. Assessing relevance and significance is vital to prioritize data points that have the highest potential impact on the investigation. Effective reporting and presentation of findings are crucial for coordinating efforts and informing stakeholders.
A dedicated section addresses Missing Children cases, highlighting their unique characteristics, such as vulnerability, high emotional impact, and urgency. Common types include non-family abductions, family abductions, runaways, and lost or injured children, as well as unaccompanied migrant children. Causes can include family conflicts, abuse, mental health issues, social issues like bullying or online exploitation, and factors related to being in care. Investigative techniques for missing children emphasize prompt initial response and assessment, immediate actions like initiating search and rescue, issuing public alerts, and coordinating with various agencies. Ongoing strategic planning involves disseminating information, utilizing databases, conducting interviews, analysing digital records, contacting relevant institutions, and carrying out search actions.
Ultimately, the module aims to provide professionals with the structured approach and specific techniques needed to navigate the complex challenges of missing person investigations effectively and with confidence.
»»» Go to the Course 4. Data Collection and analysis: https://lost.team/courses/course-4-data-collection-and-analysis/