Conflict Mapping and Peace Data Analysis

Conflict mapping and peace data analysis are crucial tools for understanding, managing, and resolving armed conflicts globally. This field has evolved significantly, moving from broad country-level assessments to highly detailed, geo-referenced event data. By systematically collecting and analyzing information, researchers and practitioners can identify patterns, compare cases, and develop more effective intervention strategies.

The Evolution of Conflict Data and Its Importance

The study of peace and conflict has become increasingly data-heavy, aiming to quantify and qualify violence and peace. Quantification helps identify patterns, compare cases, and test explanations across time and space. However, it's vital to remember that data is never neutral; definitions and coding rules profoundly shape what information becomes visible or disappears.

Lewis Richardson, a pioneer in this field, introduced a logarithmic scale in his 1960 work, The Statistics of Deadly Quarrels. This scale classified violence magnitude from individual murders (magnitude 1) to world wars (magnitude 7), allowing for comparisons across different forms of violence. This early work highlighted the trade-off between broad comparability and the loss of contextual detail.

By the end of the 20th century, conflict mapping formalized as a method of conflict analysis. The focus expanded beyond interstate wars to include civil wars, terrorism, and other forms of internal and internationalized violence. Datasets now study all levels of conflict, from intrapersonal to international, and all phases, including escalation and de-escalation. This shift led to a proliferation of statistical studies and databases, with AI now enhancing datasets and developing predictive conflict models.

Diverse Families of Conflict Datasets

Contemporary conflict analysis utilizes three main families of datasets:

• Conflict and Resolution: This family tracks conflict episodes, escalation and de-escalation, negotiation and mediation efforts, peace operations, and international justice interventions.
• Direct Violence: This includes data on battle deaths, event data, civilian targeting, terrorism, and one-sided violence.
• Positive Peace: This measures indicators related to development and equality, institutions and inclusion, everyday peace, quality of relationships, cultural peace, the Gini coefficient, and the Human Development Index.

Shifting Patterns in Global Conflicts

Understanding current trends is essential for effective conflict resolution. Data from various programs helps illustrate how conflict dynamics are changing.

Uppsala Conflict Data Program (UCDP) Insights

The Uppsala Conflict Data Program (UCDP) shows that since the 1990s, non-interstate conflicts have increasingly followed a new pattern: "challenges to existing authority." While high-intensity conflicts (wars) decreased by about two-thirds until 2009, recent years have seen a significant rise in internationalized civil wars, meaning civil conflicts involving intervention by third-party states. Global fatalities have increased sharply in recent years.

According to the UCDP graph "Fatalities in State-Based Conflicts by Region (1989–2024)":

• Africa has historically recorded the highest number of fatalities.
• Major peaks occurred after 2014, mainly linked to conflicts in the Middle East.
• A significant increase in fatalities is observed after 2022, primarily due to the war in Ukraine.

Heidelberg Institute (HIIK) Conflict Barometer

The Heidelberg Institute for International Conflict Research (HIIK) registers 369 conflicts globally. These are classified into:

• Violent conflicts: Approximately 60% of the total (220 conflicts).
• Non-violent conflicts: Approximately 40% of the total (149 conflicts).

Defining and Measuring Different Forms of Violence

The complexities of conflict require nuanced definitions and measurements for different types of violence.

Trends in Structural Violence and Inequality

There is no universal consensus on how to measure structural violence directly. However, evidence suggests that perceived inequalities and inequalities between groups (such as ethnic groups), rather than individual income inequality, are more strongly linked to outbreaks of violence. The UN Sustainable Development Goals (SDGs) are often used as a useful proxy to identify these trends.

Measuring structural violence, as conceptualized by Johan Galtung, is often proxied through inequality indicators like the Human Development Index (UNDP), the Gini coefficient (measuring income disparity), or Gross Domestic Product. These indicators measure social conditions, not direct violence effects.

Terrorism: A Contested Concept

Terrorism is a politically contested concept, where the same actors may be labeled "terrorists" by some and "resistance movements" by others. There's also significant overlap between terrorism and insurgency.

The Institute for Economics & Peace (IEP) / Global Terrorism Index defines terrorism as:

"the systematic threat or use of violence by non-state actors, either for or against established authority, with the aim of communicating a political, religious, or ideological message to a wider audience and creating fear to influence its behavior."

What the index excludes:

• Acts of war
• Profit-driven crime
• Violent antisocial behavior
• Civil riots
• Isolated individual acts without clear political motivation

According to 2024 data, terrorism deaths decreased by 13% from 2023. The most affected country was Burkina Faso (#1), followed by Pakistan (#2).

One-Sided Violence: Targeting Civilians

One-sided violence, according to the UCDP's threshold-based definition, is "the use of armed force by the government of a state or by a formally organized group against civilians which results in at least 25 deaths." This includes state forces, paramilitaries, and government-funded militias, specifically targeting groups identified as enemies by the state.

Historical data shows an enormous spike in 1994, marking the Rwandan genocide. Other peaks correspond to conflicts in Sudan, Uganda, the Democratic Republic of Congo (DRC), and Burundi.

Sexual and Gender-Based Violence

UN Security Council resolution 125 acknowledges that civilians, particularly women and children, are most affected by armed conflict. It also recognizes the distinctive ways in which violence impacts women and girls.

Classifying Conflicts and Their Distribution

Distinguishing between conflict types is a controversial but critical step for effective resolution, as conflicts change over time and can be manipulated by power-brokers.

Provisional Simplified Typology

For analytical purposes, a provisional simplified typology includes:

1. Interstate conflicts
2. Non-interstate conflicts
3. Revolution/ideology-driven conflicts
4. Identity/secession-driven conflicts
5. Economic/resource-driven conflicts
6. Factional conflicts

Regional Conflict Distribution

With the end of the Cold War, regional patterns of conflict have increased. Data on armed conflicts from UCDP indicates that Africa, Asia, and the Middle East experience the highest levels of armed conflict. In contrast, the European Union (EU) and the United States (US) experience fewer. However, it's important to remember significant geographical variations within these broad regional categories.

State Fragility and Conflict Risk

State fragility is clearly associated with an increased risk of conflict and is often observed in conflict-affected areas. A "belt of states" in central Africa, the Middle East, and western Africa is particularly affected by conflicts. Fragile states are characterized by a weak capacity to carry out basic governance functions and lack the ability to develop mutually constructive relations with society, making them more vulnerable to internal and external shocks. Resilient states, conversely, exhibit strong capacity and legitimacy in governing their population and territory.

Organizations like the Fund for Peace publish the Fragile States Index, and the V-Dem Institute provides data on democratic standards.

Tools for Micro-Level Analysis and Contemporary Trends

Advanced tools and new perspectives are enhancing our understanding of conflict dynamics.

GIS and Geo-Referenced Conflict Events

Geographical Information System (GIS) data links information to specific geographic coordinates, allowing for the recording of place and date for violent events. GIS enables the storage, analysis, and visualization of geographic features and their relationships. This facilitates micro-level analysis, identifying hotspots, diffusion patterns, regional trends, and precise mapping. Conflict datasets have evolved from country-level totals to geo-coded event data, enabling detailed studies focused on communities and households, thus improving the analysis of civil war dynamics.

Contemporary Transnational and Hybrid Conflicts

The post-Cold War era has seen an increase in transnational conflicts and the regionalization of conflicts. Contemporary transnational conflicts transcend borders, operating across local, sub-state, state, regional, and international/global scales. These are often hybrid conflicts, which strategically blend conventional military force with non-military, often covert methods like cyberattacks, disinformation, and economic pressure, to destabilize an adversary.

Conflict Mapping and Tracking Methodologies

Conflict mapping is a fundamental first step in intervening to manage a particular conflict. It provides both interveners and conflict parties with a clearer understanding of the conflict's origins, nature, dynamics, and possibilities for resolution. It presents a structured analysis of a specific conflict at a particular moment in time, used by analysts for quick profiles and in workshops to capture participants' views.

Wehr’s Conflict Mapping Checklist

Christopher Wehr's conflict mapping checklist provides a comprehensive framework:

1. Short summary and description of the conflict.
2. Conflict history, including phases and turning points.
3. Conflict context, covering geography, politics, and communication networks.
4. Parties involved, distinguishing primary, secondary, and interested third parties, along with power relations and coalitions.
5. Issues, focusing on fact-based elements.
6. Dynamics of the conflict.
7. Alternative routes to solution.
8. Resolution potential.

Common Challenges in Data Collection

Collecting accurate and reliable conflict data is fraught with challenges:

• Data collection constraints: War zones are dangerous, making real-time data collection difficult. Heavy reliance on media, journalists, official reports, and sometimes conflict parties means information must be triangulated for reliability.
• Coding: Data coding involves classifying complex realities into predefined categories. Different datasets use different metrics and rules, impacting what is visible and what is overlooked.
• Varying metrics and thresholds: Merging datasets is often problematic due to differing metrics or standards. Many datasets use a minimum number of deaths (e.g., 25 battle-related deaths) to classify a situation as a conflict, but there's no universal agreement, making it hard to precisely determine conflict start/end times.
• Swamping: Interpreting statistical data requires care, as misinterpretation can distort analysis. Data often has missing elements or discrepancies, complicating transnational comparisons. The political sensitivity of conflicts means data is frequently questioned by various actors.

Measuring Peace and Broader Conflict Dynamics

Beyond direct violence, measuring peace involves understanding underlying conditions and relationships.

The "Invisible" Part of the Iceberg: Beyond Open Violence

The "invisible" part of the iceberg refers to conflict dynamics less visible than open violence but equally important. While traditional datasets focus on wars, institutes like Heidelberg (KOSIMO, later CONIAS, and the annual Conflict Barometer) include latent, emerging, and de-escalated conflicts, alongside non-violent crisis management and resolution measures such as negotiations, peacekeeping missions, and international court rulings.

Practical Approaches to Measuring Peace

Several approaches measure peace:

• Complex Indexes: The Global Peace Index (GPI) by the Institute for Economics and Peace captures peacefulness and positive peace elements. Despite criticisms, it's considered a sophisticated index.
• Bottom-Up Measurement: Everyday peace indicators, developed by Mac Ginty and Firchow, define peace from the perspective of affected communities, a radical departure from external expert definitions.
• Relationship-Quality Scales: Davenport's (2018) peace scale classifies relationships into seven categories, ranging from hostile opposition to mutuality.
• Systemic Peace Model (Amadei): This model measures peaceful change, with the "zone of sustainable peace" being where various indexes converge.

FAQ: Conflict Mapping and Peace Data Analysis

What is conflict mapping and why is it important?

Conflict mapping is a structured analysis of a particular conflict at a specific moment in time. It helps interveners and conflict parties gain a clearer understanding of a conflict's origins, nature, dynamics, and potential solutions, serving as a crucial first step for effective intervention.

How have global conflict patterns changed since the Cold War?

Since the Cold War, there's been an increase in non-interstate conflicts, often challenging existing authority. There's also a rise in internationalized civil wars and transnational conflicts that transcend borders, alongside the emergence of hybrid conflicts blending military and non-military tactics. Global fatalities have increased sharply in recent years, particularly in Africa, the Middle East, and recently due to the war in Ukraine.

What are the main challenges in collecting and analyzing peace and conflict data?

Key challenges include the dangers of data collection in war zones, the subjectivity and variability of data coding rules across different datasets, differing metrics and thresholds (e.g., minimum death counts), and the political sensitivity of the data, which often leads to questioning by various actors.

How does GIS data enhance conflict analysis?

GIS (Geographical Information System) data links conflict events to precise geographic coordinates. This allows for micro-level analysis, identifying hotspots, diffusion patterns, and regional trends with high precision. It provides detailed mapping and improved understanding of civil war dynamics at the community and household level.

What is structural violence and how is it measured?

Structural violence refers to harm caused by social structures and institutions, rather than direct physical violence. While there's no direct universal measure, it's often proxied through indicators of inequality and social conditions, such as the Human Development Index (UNDP), the Gini coefficient, and the UN Sustainable Development Goals (SDGs), particularly focusing on perceived inequalities between groups.