Network structure of insurgent groups and the success of DDR processes in Colombia

We argue that organizational structure of insurgent organizations influences the prospects for success in a disarmament, demobilization, and reintegration process (DDR). In essence, we argue that more cohesive, tighter networks have higher levels of supervision and control on its military units and increase the probability of successful DDR processes. In order to evaluate our hypotheses, we use the theory of networks to map and characterize the network structure of the United Self-Defense Forces of Colombia (AUC) and the Revolutionary Armed Forces of Colombia (FARC). Our results suggest that armed military units grouped in smaller and more isolated components on the network remilitarize with higher probability with respect to other units on the network. Also, we find that military units with high degree of centrality on the network play an important role for the risk of conflict recurrence and success in a DDR process.     

The Bullet in the Brick: The Materiality of Conflict in Museum Objects

Tangible traces of conflict in visual artefacts can take viewers uncomfortably close to the realities of war—violence, destruction and fatalities. This article questions the evidential force of objects associated with conflict and their eventual display in exhibitions. Through a study of the display of a brick in which is embedded a bullet that is said to have passed through the body of Francis Sheehy Skeffington when he was executed by firing squad during the Easter Rising in Dublin in 1916, this article explores the historical configuration of the brick and analyses its public display in the National Museum of Ireland (NMI). By examining the actions carried out by the NMI in collecting and archiving the object and analysing the narrative strategies of its display, this article considers how the visual aspects of exhibition displays can perpetuate a particular version of historic events and accredits objects with assumed authenticity.     

Adaptive random search for continuous simulation optimization

We present, analyze, and compare three random search methods for solving stochastic optimization problems with uncountable feasible regions. Our adaptive search with resampling (ASR) approach is a framework for designing provably convergent algorithms that are adaptive and may consequently involve local search. The deterministic and stochastic shrinking ball (DSB and SSB) approaches are also convergent, but they are based on pure random search with the only difference being the estimator of the optimal solution [the DSB method was originally proposed and analyzed by Baumert and Smith]. The three methods use different techniques to reduce the effects of noise in the estimated objective function values. Our ASR method achieves this goal through resampling of already sampled points, whereas the DSB and SSB approaches address it by averaging observations in balls that shrink with time. We present conditions under which the three methods are convergent, both in probability and almost surely, and provide a limited computational study aimed at comparing the methods. Although further investigation is needed, our numerical results suggest that the ASR approach is promising, especially for difficult problems where the probability of identifying good solutions using pure random search is small. © 2010 Wiley Periodicals, Inc. Naval Research Logistics, 2010     

The Impact of ETA’s Dissolution on Domestic Tourism in Spain

In late 2011, the Spanish terrorist organization ETA announced the end of armed violence after more than forty years of illegal activity. While the existing literature has already established the negative impact of terrorist actions on international tourism in a particular region, this paper aims to determine whether ETA’s final ceasefire and definitive dissolution had a positive impact on domestic tourism in Basque Country. To that end, a directed gravity model is estimated over a panel data-set of 699 domestic tourist flows between the Spanish regions from 2008 to 2013. Results suggest that the negative impact on visitor flows was localized in the Basque Country. Also, regardless of a permanent ceasefire announced in 2010, only the 2011 ‘definitive cessation of violence’ had an immediate significant impact on the number of visitors to the Basque Country. These results complement the scarce literature on post-conflict tourism analysis and may have implications for regional authorities in affected regions in their efforts to rebuild their destination brands.     

Dynamic evacuation routes for personnel on a naval ship

We propose a dynamic escape route system for emergency evacuation of a naval ship. The system employs signals that adapt to the causative contingency and the crew's physical distribution about the ship. A mixed‐integer nonlinear programming model, with underlying network structure, optimizes the evacuation process. The network's nodes represent compartments, closures (e.g., doors and hatches) and intersections, while arcs represent various types of passageways. The objective function integrates two potentially conflicting factors: average evacuation time and the watertight and airtight integrity of the ship after evacuation. A heuristic solves the model approximately using a sequence of mixed‐integer linear approximating problems. Using data for a Spanish frigate, with standard static routes specified by the ship's designers, computational tests show that the dynamic system can reduce average evacuation times, nearly 23%, and can improve a combined measure of ship integrity by up to 50%. In addition, plausible design changes to the frigate yield further, substantial improvements. Published 2008 Wiley Periodicals, Inc. Naval Research Logistics 2008