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Preventive Measures


Preventive Measures

Building Risk Assessment and Crisis Early Warning Systems

von: John L. Davies, Adeel Ahmed, Günther Baechler, Doug Bond, Peter Brecke, Robert S. Chen, John G. Cockell, Andrei Dmitrichev, Daniel C. Esty, Deborah J. Gerner, Jack Goldstone, Ted Robert Gurr, Barbara Harff, Joost R. Hiltermann, Charles J. Jefferson, J Craig Jenkins, Elizabeth Voulieris Kassinis, Dennis King, Andreas V. Kohlschütter, Donald Krumm, Akira Onishi, Abdur Rashid, Grace I. Scarborough, Susanne Schmeidl, Alex P. Schmid, Philip A. Schrodt, Anne L. Speca, Pamela T. Surko, Alan N. Unger, William P. Whelan

57,99 €

Verlag: Rowman & Littlefield Publishers
Format: EPUB
Veröffentl.: 03.09.1998
ISBN/EAN: 9781461641230
Sprache: englisch
Anzahl Seiten: 304

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Beschreibungen

State failure, ethnopolitical war, genocide, famine, and refugee flows are variants of a type of complex political and humanitarian crisis, exemplified during the 1990s in places like Somalia, Bosnia, Liberia, and Afghanistan. The international consequences of such crises are profound, often threatening regional security and requiring major inputs of humanitarian assistance. They also may pose long-term and costly challenges of rebuilding shattered governments and societies. A vital policy question is whether failures can be diagnosed far enough in advance to facilitate effective international efforts at prevention or peaceful transformation. This volume of original essays examines crisis early warning factors at different levels, in different settings, and judges their effectiveness according to various models. Top contributors offer answers along with analyses as they move from early warning to early response in their policy recommendations.
Chapter 1 Preventive Measures: An Overview
<br>Part 2 Part I: Structural Indicators and Risk Assessment Models
<br>Chapter 3 A Risk Assessment Model of Ethnopolitical Rebellion
<br>Chapter 4 The State Failure Project: Early Warning Research for U.S. Foreign Policy Planning
<br>Chapter 5 Indicator Development: Issues in Forecasting Conflict Escalation
<br>Chapter 6 Early Warning Indicators of Forced Migration
<br>Part 7 Part II: Dynamic Indicators and Early Warning Models
<br>Chapter 8 Early Warning of Humanitarian Crises: Sequential Models and the Role of Accelerators
<br>Chapter 9 Dynamic Data for Conflict Early Warning
<br>Chapter 10 Cluster Analysis as an Early Warning Technique for the Middle East
<br>Chapter 11 Timely Conflict Risk Assessments and the PANDA Project
<br>Chapter 12 A Pattern Recognition Approach to Conflict Early Warning
<br>Part 13 Part III. Specialized Models and Applications
<br>Chapter 14 Early Warning of Environmentally Caused Conflicts
<br>Chapter 15 An Expert System for Assessing Vulnerability to Instability
<br>Chapter 16 The FUGI Model as a Global Early Warning System for Refugees
<br>Chapter 17 Human Rights Abuses and Arms Trafficking in Central Africa
<br>Chapter 18 FAST: A Pilot Study for an Early Warning System for the Swiss Foreign Ministry
<br>Part 19 Part IV: Public Sector Information and Early Warning Systems
<br>Chapter 20 The Global Information and Early Warning System on Food and Agriculture
<br>Chapter 21 USAID's Famine Early Warning System
<br>Chapter 22 The Humanitarian Early Warning System: From Concept to Practice
<br>Chapter 23 ReliefWeb: An International Information Management Tool
<br>Chapter 24 The Role of Early Warning in the Office of the UN High Commissioner for Refugees
<br>Part 25 Part V. From Early Warning to Early Response
<br>Chapter 26 Towards Response-Oriented Early Warning Analysis
<br>Chapter 27 Information Sharing and Early Warning
<br>Chapter 28 Early Warning: An Action Agenda
John L. Davies is director of the Global Events Data System Project at the Center for International Development and Conflict Management (CIDCM) and assistant professor of government and politics at the University of Maryland, College Park. Ted Robert Gurr is distinguished university professor, professor of government and politics, and distinguished scholar at CIDCM at the University of Maryland, College Park.

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