This article was originally published by IPI Global Observatory on 13 June 2017.
Central Europe received a major increase in refugees fleeing Syria in 2015. With the region’s politicians initially overwhelmed and claiming the situation was unforeseeable, civil society had to step into the breach on humanitarian assistance. Eventually, politicians did propose a broad range of solutions to cope with the phenomenon, typically informed by their political persuasions. Naturally, these were widely debated, and none were able to be categorically proven as effective.
But what if there was a way to evaluate the proposed solutions? What if the means existed to analyze the challenges faced and provide support for decision-makers? Existing computer simulation models are, in fact, quite capable of doing just that in a range of fields. Though their capabilities are not taken full advantage of at present, the situation appears to be changing.
One field—and a big one at that—starting to adopt large-scale computer modeling is healthcare. With many national health insurance programs facing the challenges of demographic shifts (an aging population and fewer contributors to the pool of available funds), the quest for cost efficiency has opened the door to healthcare technology assessment (HTA).
This article was written following the release of the Institute for Economics and Peace’s Global Peace Index 2017.
While the world has successfully lowered overall levels of militarisation over the last 30 years there has been a dangerous increase in the world’s most unstable areas
The conflict in Syria is a stark reminder of the devastating potential of state based armed conflict and the destructive capability of conventional heavy weapons. One need only look at the gulf between the numbers of lives lost from terrorism versus armed conflict globally to be reminded of this fact –in 2016, it is estimated that approximately five times more people were killed in armed conflict than in terrorist events.
While charting trends in militarisation is difficult due to the constantly evolving destructive capability of heavy weapons technology, IEP has tried to develop a data driven approach by compiled 30 years of heavy weapons data based on the authoritative International Institute for Strategic Studies (IISS) Military Balance. The data have then been codified based on a methodology developed by the Stockholm International Peace Research Institute (SIPRI).
Courtesy Steve Rotman/Flickr
This article was originally published by War is Boring on 31 October 2016.
On Sept. 10, 2016, the U.S.-brokered a ceasefire with Russia and Syria in the besieged city of Aleppo. Although low-intensity fighting never really stopped, the ceasefire didn’t begin to fall apart until a week later, when U.S. aircraft mistakenly killed about 80 Syrian troops.
The killings heightened tensions between the United States and Russia, who had agreed to the ceasefire with the aim of negotiating a combined effort against Islamic State and Al Qaeda-linked fighters. By Sept. 21, the ceasefire collapsed — and the following day, the Syrian government announced a new military offensive to retake Aleppo.
The offensive featured some of the most intensive ground combat and bombing of the entire war, costing hundreds of lives within the span of just a few days. The humanitarian cost on the ground was described by U.N. humanitarian chief Stephen O’Brien as “a level of savagery that no human should have to endure.”
This article was originally published by the Stockholm International Peace Research Institute (SIPRI) on 21 November 2016.
Today, SIPRI is launching its new extended military expenditure data—free to download from our website—with consistent data going back as far as 1949.
It may seem curious that, although SIPRI has published military expenditure data almost since its creation, starting with data from 1950 in the very first SIPRI Yearbook of 1969/70, for the past 20 years or so we have only been able to provide data going back to 1988. Varying methodologies meant that we could not guarantee consistency between data collected before 1988 and data collected after 1988, and so no meaningful comparisons between these data sets could be made. Until now.
Courtesy Norbert Nagel/Wikimedia Commons
This article was originally published by the German institute for International and Security Affairs (SWP) in August 2016.
In June 2016, the United Nations High Commissioner for Refugees (UNHCR) presented his latest annual report on the situation of refugees and displaced persons around the world. Once again, this account documents new record levels in refugee numbers, both in industrialised and in developing countries. For governments and aid organisations, these statistics constitute an important basis for addressing displacement-related challenges in a more effective manner. However, the data provided by UNHCR is often incomplete and marked by a number of shortcomings. Increasingly high expectations are being placed on development cooperation in terms of tackling the root causes of forced displacement. Meeting these expectations requires reliable data.
Refugee crises can only be adequately addressed on the basis of comprehensive and reliable data. Displaced persons must be able to register as refugees in order to receive access to international protection and the related legal rights and aid. Host countries and communities depend on data pertaining to current displacement situations in order to plan the required services and provide the necessary administrative, personnel and material resources. The credibility of international aid organisations’ appeals for donations also rely on substantiated information about displacement situations.