Migración contemporánea mexicana: redes sociales transnacionales y políticas migratorias : la experiencia migratoria de la comunidad de Tunkás, Yucatán en el sur de California

This research explores the impacts of the most recent U.S. economic crisis on the Mexican immigrant labour market, specifically from the town of Tunkás, Yucatan. Based on Bourdieu.’s theory of Capital production, and the transnational theoretical perspective, this study aims to build a conceptual frame for the migrant’s social capital in modern societies. A key element of this analysis is that a pioneer migrant-woman has initiated the tunkaseño social network in Los Angeles and Orange County, California; and has set the route to migrate to North. Finally this analysis presents how U.S. worksite enforcement policy affects the labour market that tunkaseños encounter in Southern California in the midst of a financial crisis. Tunkás, our Mayan community, native from the Southern Mexican state of Yucatan has experienced a constant migration process to California ever since the Bracero Program started. Mayan migrants have acquired new responsibilities, and a hybrid identity as transnational citizens. Yucatecan migration is defined as a contemporary Mexican migration, mostly undocumented, exacerbated during the nineties, in the midst of the Mexican financial crisis from 1994 to 1997. The present work is part of a broader research that discusses the transformation of Mexican migration patterns of different states of Mexico. This project is based on fieldwork in the communities of origin and destination. As well, on the survey results and life stories obtained during 2005-2006, and 2008-2009 by MMFRP1, where I took part in both editions as a researcher...

Métodos heurísticos para un problema multicriterio de distribución de ayuda humanitaria

Large scale disasters, such as the one caused by the Typhoon Haiyan, which devastated portions of the Philippines in 2013, or the catastrophic 2010 Haiti earthquake, which caused major damage in Port-au-Prince and other settlements in the region, have massive and lasting effects on populations. Nowadays, disasters can be considered as a consequence of inappropriately managed risk. These risks are the product of hazards and vulnerability, which refers to the extent to which a community can be affected by the impact of a hazard. In this way, developing countries, due to their greater vulnerability, suffer the highest costs when a disaster occurs. Disaster relief is a challenge for politics, economies, and societies worldwide. Humanitarian organizations face multiple decision problems when responding to disasters. In particular, once a disaster strikes, the distribution of humanitarian aid to the population affected is one of the most fundamental operations in what is called humanitarian logistics. This term is defined as the process of planning, implementing and controlling the effcient, cost-effective ow and storage of goods and materials as well as related information, from the point of origin to the point of consumption, for the purpose of meeting the end bene- ciaries' requirements and alleviate the suffering of vulnerable people, [the Humanitarian Logistics Conference, 2004 (Fritz Institute)]. During the last decade there has been an increasing interest in the OR/MS community in studying this topic, pointing out the similarities and differences between humanitarian and business logistics, and developing models suited to handle the special characteristics of these problems. Several authors have pointed out that traditional logistic objectives, such as minimizing operation cost, are not the most relevant goals in humanitarian operations. Other factors, such as the time of operation, or the design of safe and equitable distribution plans, come to the front, and new models and algorithms are needed to cope with these special features. Up to six attributes related to the distribution plan are considered in our multi-criteria approach. Even though there are usually simple ways to measure the cost of an operation, the evaluation of some other attributes such as security or equity is not easy. As a result, several attribute measures are proposed and developed, focusing on different aspects of the solutions. Furthermore, when metaheuristic solution methods are used, considering non linear objective functions does not increase the complexity of the algorithms significantly, and thus more accurate measures can be utilized...