856 resultados para Wetland resources and services


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Next Generation Networks (NGN) provide Telecommunications operators with the possibility to share their resources and infrastructure, facilitate the interoperability with other networks, and simplify and unify the management, operation and maintenance of service offerings, thus enabling the fast and cost-effective creation of new personal, broadband ubiquitous services. Unfortunately, service creation over NGN is far from the success of service creation in the Web, especially when it comes to Web 2.0. This paper presents a novel approach to service creation and delivery, with a platform that opens to non-technically skilled users the possibility to create, manage and share their own convergent (NGN-based and Web-based) services. To this end, the business approach to user-generated services is analyzed and the technological bases supporting the proposal are explained.

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A sustainable manufacturing process must rely on an also sustainable raw materials and energy supply. This paper is intended to show the results of the studies developed on sustainable business models for the minerals industry as a fundamental previous part of a sustainable manufacturing process. As it has happened in other economic activities, the mining and minerals industry has come under tremendous pressure to improve its social, developmental, and environmental performance. Mining, refining, and the use and disposal of minerals have in some instances led to significant local environmental and social damage. Nowadays, like in other parts of the corporate world, companies are more routinely expected to perform to ever higher standards of behavior, going well beyond achieving the best rate of return for shareholders. They are also increasingly being asked to be more transparent and subject to third-party audit or review, especially in environmental aspects. In terms of environment, there are three inter-related areas where innovation and new business models can make the biggest difference: carbon, water and biodiversity. The focus in these three areas is for two reasons. First, the industrial and energetic minerals industry has significant footprints in each of these areas. Second, these three areas are where the potential environmental impacts go beyond local stakeholders and communities, and can even have global impacts, like in the case of carbon. So prioritizing efforts in these areas will ultimately be a strategic differentiator as the industry businesses continues to grow. Over the next forty years, world?s population is predicted to rise from 6.300 million to 9.500 million people. This will mean a huge demand of natural resources. Indeed, consumption rates are such that current demand for raw materials will probably soon exceed the planet?s capacity. As awareness of the actual situation grows, the public is demanding goods and services that are even more environmentally sustainable. This means that massive efforts are required to reduce the amount of materials we use, including freshwater, minerals and oil, biodiversity, and marine resources. It?s clear that business as usual is no longer possible. Today, companies face not only the economic fallout of the financial crisis; they face the substantial challenge of transitioning to a low-carbon economy that is constrained by dwindling natural resources easily accessible. Innovative business models offer pioneering companies an early start toward the future. They can signal to consumers how to make sustainable choices and provide reward for both the consumer and the shareholder. Climate change and carbon remain major risk discontinuities that we need to better understand and deal with. In the absence of a global carbon solution, the principal objective of any individual country should be to reduce its global carbon emissions by encouraging conservation. The mineral industry internal response is to continue to focus on reducing the energy intensity of our existing operations through energy efficiency and the progressive introduction of new technology. Planning of the new projects must ensure that their energy footprint is minimal from the start. These actions will increase the long term resilience of the business to uncertain energy and carbon markets. This focus, combined with a strong demand for skills in this strategic area for the future requires an appropriate change in initial and continuing training of engineers and technicians and their awareness of the issue of eco-design. It will also need the development of measurement tools for consistent comparisons between companies and the assessments integration of the carbon footprint of mining equipments and services in a comprehensive impact study on the sustainable development of the Economy.

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Ubiquitous computing (one person, many computers) is the third era in the history of computing. It follows the mainframe era (many people, one computer) and the PC era (one person, one computer). Ubiquitous computing empowers people to communicate with services by interacting with their surroundings. Most of these so called smart environments contain sensors sensing users’ actions and try to predict the users’ intentions and necessities based on sensor data. The main drawback of this approach is that the system might perform unexpected or unwanted actions, making the user feel out of control. In this master thesis we propose a different procedure based on Interactive Spaces: instead of predicting users’ intentions based on sensor data, the system reacts to users’ explicit predefined actions. To that end, we present REACHeS, a server platform which enables communication among services, resources and users located in the same environment. With REACHeS, a user controls services and resources by interacting with everyday life objects and using a mobile phone as a mediator between himself/herself, the system and the environment. REACHeS’ interfaces with a user are built upon NFC (Near Field Communication) technology. NFC tags are attached to objects in the environment. A tag stores commands that are sent to services when a user touches the tag with his/her NFC enabled device. The prototypes and usability tests presented in this thesis show the great potential of NFC to build such user interfaces.

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One of the challenges facing the current web is the efficient use of all the available information. The Web 2.0 phenomenon has favored the creation of contents by average users, and thus the amount of information that can be found for diverse topics has grown exponentially in the last years. Initiatives such as linked data are helping to build the Semantic Web, in which a set of standards are proposed for the exchange of data among heterogeneous systems. However, these standards are sometimes not used, and there are still plenty of websites that require naive techniques to discover their contents and services. This paper proposes an integrated framework for content and service discovery and extraction. The framework is divided into several layers where the discovery of contents and services is made in a representational stateless transfer system such as the web. It employs several web mining techniques as well as feature-oriented modeling for the discovery of cross-cutting features in web resources. The framework is used in a scenario of electronic newspapers. An intelligent agent crawls the web for related news, and uses services and visits links automatically according to its goal. This scenario illustrates how the discovery is made at different levels and how the use of semantics helps implement an agent that performs high-level tasks.

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La nanotecnología es un área de investigación de reciente creación que trata con la manipulación y el control de la materia con dimensiones comprendidas entre 1 y 100 nanómetros. A escala nanométrica, los materiales exhiben fenómenos físicos, químicos y biológicos singulares, muy distintos a los que manifiestan a escala convencional. En medicina, los compuestos miniaturizados a nanoescala y los materiales nanoestructurados ofrecen una mayor eficacia con respecto a las formulaciones químicas tradicionales, así como una mejora en la focalización del medicamento hacia la diana terapéutica, revelando así nuevas propiedades diagnósticas y terapéuticas. A su vez, la complejidad de la información a nivel nano es mucho mayor que en los niveles biológicos convencionales (desde el nivel de población hasta el nivel de célula) y, por tanto, cualquier flujo de trabajo en nanomedicina requiere, de forma inherente, estrategias de gestión de información avanzadas. Desafortunadamente, la informática biomédica todavía no ha proporcionado el marco de trabajo que permita lidiar con estos retos de la información a nivel nano, ni ha adaptado sus métodos y herramientas a este nuevo campo de investigación. En este contexto, la nueva área de la nanoinformática pretende detectar y establecer los vínculos existentes entre la medicina, la nanotecnología y la informática, fomentando así la aplicación de métodos computacionales para resolver las cuestiones y problemas que surgen con la información en la amplia intersección entre la biomedicina y la nanotecnología. Las observaciones expuestas previamente determinan el contexto de esta tesis doctoral, la cual se centra en analizar el dominio de la nanomedicina en profundidad, así como en el desarrollo de estrategias y herramientas para establecer correspondencias entre las distintas disciplinas, fuentes de datos, recursos computacionales y técnicas orientadas a la extracción de información y la minería de textos, con el objetivo final de hacer uso de los datos nanomédicos disponibles. El autor analiza, a través de casos reales, alguna de las tareas de investigación en nanomedicina que requieren o que pueden beneficiarse del uso de métodos y herramientas nanoinformáticas, ilustrando de esta forma los inconvenientes y limitaciones actuales de los enfoques de informática biomédica a la hora de tratar con datos pertenecientes al dominio nanomédico. Se discuten tres escenarios diferentes como ejemplos de actividades que los investigadores realizan mientras llevan a cabo su investigación, comparando los contextos biomédico y nanomédico: i) búsqueda en la Web de fuentes de datos y recursos computacionales que den soporte a su investigación; ii) búsqueda en la literatura científica de resultados experimentales y publicaciones relacionadas con su investigación; iii) búsqueda en registros de ensayos clínicos de resultados clínicos relacionados con su investigación. El desarrollo de estas actividades requiere el uso de herramientas y servicios informáticos, como exploradores Web, bases de datos de referencias bibliográficas indexando la literatura biomédica y registros online de ensayos clínicos, respectivamente. Para cada escenario, este documento proporciona un análisis detallado de los posibles obstáculos que pueden dificultar el desarrollo y el resultado de las diferentes tareas de investigación en cada uno de los dos campos citados (biomedicina y nanomedicina), poniendo especial énfasis en los retos existentes en la investigación nanomédica, campo en el que se han detectado las mayores dificultades. El autor ilustra cómo la aplicación de metodologías provenientes de la informática biomédica a estos escenarios resulta efectiva en el dominio biomédico, mientras que dichas metodologías presentan serias limitaciones cuando son aplicadas al contexto nanomédico. Para abordar dichas limitaciones, el autor propone un enfoque nanoinformático, original, diseñado específicamente para tratar con las características especiales que la información presenta a nivel nano. El enfoque consiste en un análisis en profundidad de la literatura científica y de los registros de ensayos clínicos disponibles para extraer información relevante sobre experimentos y resultados en nanomedicina —patrones textuales, vocabulario en común, descriptores de experimentos, parámetros de caracterización, etc.—, seguido del desarrollo de mecanismos para estructurar y analizar dicha información automáticamente. Este análisis concluye con la generación de un modelo de datos de referencia (gold standard) —un conjunto de datos de entrenamiento y de test anotados manualmente—, el cual ha sido aplicado a la clasificación de registros de ensayos clínicos, permitiendo distinguir automáticamente los estudios centrados en nanodrogas y nanodispositivos de aquellos enfocados a testear productos farmacéuticos tradicionales. El presente trabajo pretende proporcionar los métodos necesarios para organizar, depurar, filtrar y validar parte de los datos nanomédicos existentes en la actualidad a una escala adecuada para la toma de decisiones. Análisis similares para otras tareas de investigación en nanomedicina ayudarían a detectar qué recursos nanoinformáticos se requieren para cumplir los objetivos actuales en el área, así como a generar conjunto de datos de referencia, estructurados y densos en información, a partir de literatura y otros fuentes no estructuradas para poder aplicar nuevos algoritmos e inferir nueva información de valor para la investigación en nanomedicina. ABSTRACT Nanotechnology is a research area of recent development that deals with the manipulation and control of matter with dimensions ranging from 1 to 100 nanometers. At the nanoscale, materials exhibit singular physical, chemical and biological phenomena, very different from those manifested at the conventional scale. In medicine, nanosized compounds and nanostructured materials offer improved drug targeting and efficacy with respect to traditional formulations, and reveal novel diagnostic and therapeutic properties. Nevertheless, the complexity of information at the nano level is much higher than the complexity at the conventional biological levels (from populations to the cell). Thus, any nanomedical research workflow inherently demands advanced information management. Unfortunately, Biomedical Informatics (BMI) has not yet provided the necessary framework to deal with such information challenges, nor adapted its methods and tools to the new research field. In this context, the novel area of nanoinformatics aims to build new bridges between medicine, nanotechnology and informatics, allowing the application of computational methods to solve informational issues at the wide intersection between biomedicine and nanotechnology. The above observations determine the context of this doctoral dissertation, which is focused on analyzing the nanomedical domain in-depth, and developing nanoinformatics strategies and tools to map across disciplines, data sources, computational resources, and information extraction and text mining techniques, for leveraging available nanomedical data. The author analyzes, through real-life case studies, some research tasks in nanomedicine that would require or could benefit from the use of nanoinformatics methods and tools, illustrating present drawbacks and limitations of BMI approaches to deal with data belonging to the nanomedical domain. Three different scenarios, comparing both the biomedical and nanomedical contexts, are discussed as examples of activities that researchers would perform while conducting their research: i) searching over the Web for data sources and computational resources supporting their research; ii) searching the literature for experimental results and publications related to their research, and iii) searching clinical trial registries for clinical results related to their research. The development of these activities will depend on the use of informatics tools and services, such as web browsers, databases of citations and abstracts indexing the biomedical literature, and web-based clinical trial registries, respectively. For each scenario, this document provides a detailed analysis of the potential information barriers that could hamper the successful development of the different research tasks in both fields (biomedicine and nanomedicine), emphasizing the existing challenges for nanomedical research —where the major barriers have been found. The author illustrates how the application of BMI methodologies to these scenarios can be proven successful in the biomedical domain, whilst these methodologies present severe limitations when applied to the nanomedical context. To address such limitations, the author proposes an original nanoinformatics approach specifically designed to deal with the special characteristics of information at the nano level. This approach consists of an in-depth analysis of the scientific literature and available clinical trial registries to extract relevant information about experiments and results in nanomedicine —textual patterns, common vocabulary, experiment descriptors, characterization parameters, etc.—, followed by the development of mechanisms to automatically structure and analyze this information. This analysis resulted in the generation of a gold standard —a manually annotated training or reference set—, which was applied to the automatic classification of clinical trial summaries, distinguishing studies focused on nanodrugs and nanodevices from those aimed at testing traditional pharmaceuticals. The present work aims to provide the necessary methods for organizing, curating and validating existing nanomedical data on a scale suitable for decision-making. Similar analysis for different nanomedical research tasks would help to detect which nanoinformatics resources are required to meet current goals in the field, as well as to generate densely populated and machine-interpretable reference datasets from the literature and other unstructured sources for further testing novel algorithms and inferring new valuable information for nanomedicine.

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Recientemente, el paradigma de la computación en la nube ha recibido mucho interés por parte tanto de la industria como del mundo académico. Las infraestructuras cloud públicas están posibilitando nuevos modelos de negocio y ayudando a reducir costes. Sin embargo, una compañía podría desear ubicar sus datos y servicios en sus propias instalaciones, o tener que atenerse a leyes de protección de datos. Estas circunstancias hacen a las infraestructuras cloud privadas ciertamente deseables, ya sea para complementar a las públicas o para sustituirlas por completo. Por desgracia, las carencias en materia de estándares han impedido que las soluciones para la gestión de infraestructuras privadas se hayan desarrollado adecuadamente. Además, la multitud de opciones disponibles ha creado en los clientes el miedo a depender de una tecnología concreta (technology lock-in). Una de las causas de este problema es la falta de alineación entre la investigación académica y los productos comerciales, ya que aquella está centrada en el estudio de escenarios idealizados sin correspondencia con el mundo real, mientras que éstos consisten en soluciones desarrolladas sin tener en cuenta cómo van a encajar con los estándares más comunes o sin preocuparse de hacer públicos sus resultados. Con objeto de resolver este problema, propongo un sistema de gestión modular para infraestructuras cloud privadas enfocado en tratar con las aplicaciones en lugar de centrarse únicamente en los recursos hardware. Este sistema de gestión sigue el paradigma de la computación autónoma y está diseñado en torno a un modelo de información sencillo, desarrollado para ser compatible con los estándares más comunes. Este modelo divide el entorno en dos vistas, que sirven para separar aquello que debe preocupar a cada actor involucrado del resto de información, pero al mismo tiempo permitiendo relacionar el entorno físico con las máquinas virtuales que se despliegan encima de él. En dicho modelo, las aplicaciones cloud están divididas en tres tipos genéricos (Servicios, Trabajos de Big Data y Reservas de Instancias), para que así el sistema de gestión pueda sacar partido de las características propias de cada tipo. El modelo de información está complementado por un conjunto de acciones de gestión atómicas, reversibles e independientes, que determinan las operaciones que se pueden llevar a cabo sobre el entorno y que es usado para hacer posible la escalabilidad en el entorno. También describo un motor de gestión encargado de, a partir del estado del entorno y usando el ya mencionado conjunto de acciones, la colocación de recursos. Está dividido en dos niveles: la capa de Gestores de Aplicación, encargada de tratar sólo con las aplicaciones; y la capa del Gestor de Infraestructura, responsable de los recursos físicos. Dicho motor de gestión obedece un ciclo de vida con dos fases, para así modelar mejor el comportamiento de una infraestructura real. El problema de la colocación de recursos es atacado durante una de las fases (la de consolidación) por un resolutor de programación entera, y durante la otra (la online) por un heurístico hecho ex-profeso. Varias pruebas han demostrado que este acercamiento combinado es superior a otras estrategias. Para terminar, el sistema de gestión está acoplado a arquitecturas de monitorización y de actuadores. Aquella estando encargada de recolectar información del entorno, y ésta siendo modular en su diseño y capaz de conectarse con varias tecnologías y ofrecer varios modos de acceso. ABSTRACT The cloud computing paradigm has raised in popularity within the industry and the academia. Public cloud infrastructures are enabling new business models and helping to reduce costs. However, the desire to host company’s data and services on premises, and the need to abide to data protection laws, make private cloud infrastructures desirable, either to complement or even fully substitute public oferings. Unfortunately, a lack of standardization has precluded private infrastructure management solutions to be developed to a certain level, and a myriad of diferent options have induced the fear of lock-in in customers. One of the causes of this problem is the misalignment between academic research and industry ofering, with the former focusing in studying idealized scenarios dissimilar from real-world situations, and the latter developing solutions without taking care about how they f t with common standards, or even not disseminating their results. With the aim to solve this problem I propose a modular management system for private cloud infrastructures that is focused on the applications instead of just the hardware resources. This management system follows the autonomic system paradigm, and is designed around a simple information model developed to be compatible with common standards. This model splits the environment in two views that serve to separate the concerns of the stakeholders while at the same time enabling the traceability between the physical environment and the virtual machines deployed onto it. In it, cloud applications are classifed in three broad types (Services, Big Data Jobs and Instance Reservations), in order for the management system to take advantage of each type’s features. The information model is paired with a set of atomic, reversible and independent management actions which determine the operations that can be performed over the environment and is used to realize the cloud environment’s scalability. From the environment’s state and using the aforementioned set of actions, I also describe a management engine tasked with the resource placement. It is divided in two tiers: the Application Managers layer, concerned just with applications; and the Infrastructure Manager layer, responsible of the actual physical resources. This management engine follows a lifecycle with two phases, to better model the behavior of a real infrastructure. The placement problem is tackled during one phase (consolidation) by using an integer programming solver, and during the other (online) with a custom heuristic. Tests have demonstrated that this combined approach is superior to other strategies. Finally, the management system is paired with monitoring and actuators architectures. The former able to collect the necessary information from the environment, and the later modular in design and capable of interfacing with several technologies and ofering several access interfaces.

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Climate change impacts are expected to affect rice farming and wetlands welfare in the Doñana protected Area, due to decreases in quantity and quality water supply and higher temperatures. The largest rice farming area is closely located to the Doñana wetlands in the Guadalquivir river basin estuary (South Western of Spain).

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El auge y penetración de las nuevas tecnologías junto con la llamada Web Social están cambiando la forma en la que accedemos a la medicina. Cada vez más pacientes y profesionales de la medicina están creando y consumiendo recursos digitales de contenido clínico a través de Internet, surgiendo el problema de cómo asegurar la fiabilidad de estos recursos. Además, un nuevo concepto está apareciendo, el de pervasive healthcare o sanidad ubicua, motivado por pacientes que demandan un acceso a los servicios sanitarios en todo momento y en todo lugar. Este nuevo escenario lleva aparejado un problema de confianza en los proveedores de servicios sanitarios. Las plataformas de eLearning se están erigiendo como paradigma de esta nueva Medicina 2.0 ya que proveen un servicio abierto a la vez que controlado/supervisado a recursos digitales, y facilitan las interacciones y consultas entre usuarios, suponiendo una buena aproximación para esta sanidad ubicua. En estos entornos los problemas de fiabilidad y confianza pueden ser solventados mediante la implementación de mecanismos de recomendación de recursos y personas de manera confiable. Tradicionalmente las plataformas de eLearning ya cuentan con mecanismos de recomendación, si bien están más enfocados a la recomendación de recursos. Para la recomendación de usuarios es necesario acudir a mecanismos más elaborados como son los sistemas de confianza y reputación (trust and reputation) En ambos casos, tanto la recomendación de recursos como el cálculo de la reputación de los usuarios se realiza teniendo en cuenta criterios principalmente subjetivos como son las opiniones de los usuarios. En esta tesis doctoral proponemos un nuevo modelo de confianza y reputación que combina evaluaciones automáticas de los recursos digitales en una plataforma de eLearning, con las opiniones vertidas por los usuarios como resultado de las interacciones con otros usuarios o después de consumir un recurso. El enfoque seguido presenta la novedad de la combinación de una parte objetiva con otra subjetiva, persiguiendo mitigar el efecto de posibles castigos subjetivos por parte de usuarios malintencionados, a la vez que enriquecer las evaluaciones objetivas con información adicional acerca de la capacidad pedagógica del recurso o de la persona. El resultado son recomendaciones siempre adaptadas a los requisitos de los usuarios, y de la máxima calidad tanto técnica como educativa. Esta nueva aproximación requiere una nueva herramienta para su validación in-silico, al no existir ninguna aplicación que permita la simulación de plataformas de eLearning con mecanismos de recomendación de recursos y personas, donde además los recursos sean evaluados objetivamente. Este trabajo de investigación propone pues una nueva herramienta, basada en el paradigma de programación orientada a agentes inteligentes para el modelado de comportamientos complejos de usuarios en plataformas de eLearning. Además, la herramienta permite también la simulación del funcionamiento de este tipo de entornos dedicados al intercambio de conocimiento. La evaluación del trabajo propuesto en este documento de tesis se ha realizado de manera iterativa a lo largo de diferentes escenarios en los que se ha situado al sistema frente a una amplia gama de comportamientos de usuarios. Se ha comparado el rendimiento del modelo de confianza y reputación propuesto frente a dos modos de recomendación tradicionales: a) utilizando sólo las opiniones subjetivas de los usuarios para el cálculo de la reputación y por extensión la recomendación; y b) teniendo en cuenta sólo la calidad objetiva del recurso sin hacer ningún cálculo de reputación. Los resultados obtenidos nos permiten afirmar que el modelo desarrollado mejora la recomendación ofrecida por las aproximaciones tradicionales, mostrando una mayor flexibilidad y capacidad de adaptación a diferentes situaciones. Además, el modelo propuesto es capaz de asegurar la recomendación de nuevos usuarios entrando al sistema frente a la nula recomendación para estos usuarios presentada por el modo de recomendación predominante en otras plataformas que basan la recomendación sólo en las opiniones de otros usuarios. Por último, el paradigma de agentes inteligentes ha probado su valía a la hora de modelar plataformas virtuales complejas orientadas al intercambio de conocimiento, especialmente a la hora de modelar y simular el comportamiento de los usuarios de estos entornos. La herramienta de simulación desarrollada ha permitido la evaluación del modelo de confianza y reputación propuesto en esta tesis en una amplia gama de situaciones diferentes. ABSTRACT Internet is changing everything, and this revolution is especially present in traditionally offline spaces such as medicine. In recent years health consumers and health service providers are actively creating and consuming Web contents stimulated by the emergence of the Social Web. Reliability stands out as the main concern when accessing the overwhelming amount of information available online. Along with this new way of accessing the medicine, new concepts like ubiquitous or pervasive healthcare are appearing. Trustworthiness assessment is gaining relevance: open health provisioning systems require mechanisms that help evaluating individuals’ reputation in pursuit of introducing safety to these open and dynamic environments. Technical Enhanced Learning (TEL) -commonly known as eLearning- platforms arise as a paradigm of this Medicine 2.0. They provide an open while controlled/supervised access to resources generated and shared by users, enhancing what it is being called informal learning. TEL systems also facilitate direct interactions amongst users for consultation, resulting in a good approach to ubiquitous healthcare. The aforementioned reliability and trustworthiness problems can be faced by the implementation of mechanisms for the trusted recommendation of both resources and healthcare services providers. Traditionally, eLearning platforms already integrate recommendation mechanisms, although this recommendations are basically focused on providing an ordered classifications of resources. For users’ recommendation, the implementation of trust and reputation systems appears as the best solution. Nevertheless, both approaches base the recommendation on the information from the subjective opinions of other users of the platform regarding the resources or the users. In this PhD work a novel approach is presented for the recommendation of both resources and users within open environments focused on knowledge exchange, as it is the case of TEL systems for ubiquitous healthcare. The proposed solution adds the objective evaluation of the resources to the traditional subjective personal opinions to estimate the reputation of the resources and of the users of the system. This combined measure, along with the reliability of that calculation, is used to provide trusted recommendations. The integration of opinions and evaluations, subjective and objective, allows the model to defend itself against misbehaviours. Furthermore, it also allows ‘colouring’ cold evaluation values by providing additional quality information such as the educational capacities of a digital resource in an eLearning system. As a result, the recommendations are always adapted to user requirements, and of the maximum technical and educational quality. To our knowledge, the combination of objective assessments and subjective opinions to provide recommendation has not been considered before in the literature. Therefore, for the evaluation of the trust and reputation model defined in this PhD thesis, a new simulation tool will be developed following the agent-oriented programming paradigm. The multi-agent approach allows an easy modelling of independent and proactive behaviours for the simulation of users of the system, conforming a faithful resemblance of real users of TEL platforms. For the evaluation of the proposed work, an iterative approach have been followed, testing the performance of the trust and reputation model while providing recommendation in a varied range of scenarios. A comparison with two traditional recommendation mechanisms was performed: a) using only users’ past opinions about a resource and/or other users; and b) not using any reputation assessment and providing the recommendation considering directly the objective quality of the resources. The results show that the developed model improves traditional approaches at providing recommendations in Technology Enhanced Learning (TEL) platforms, presenting a higher adaptability to different situations, whereas traditional approaches only have good results under favourable conditions. Furthermore the promotion period mechanism implemented successfully helps new users in the system to be recommended for direct interactions as well as the resources created by them. On the contrary OnlyOpinions fails completely and new users are never recommended, while traditional approaches only work partially. Finally, the agent-oriented programming (AOP) paradigm has proven its validity at modelling users’ behaviours in TEL platforms. Intelligent software agents’ characteristics matched the main requirements of the simulation tool. The proactivity, sociability and adaptability of the developed agents allowed reproducing real users’ actions and attitudes through the diverse situations defined in the evaluation framework. The result were independent users, accessing to different resources and communicating amongst them to fulfil their needs, basing these interactions on the recommendations provided by the reputation engine.

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El panorama global está cambiando, y esto influye sobre la forma en la que entendemos y tratamos de alcanzar un desarrollo humano sostenible. El crecimiento de la población conlleva una mayor presión sobre los recursos, pero también supone una mayor cantidad de mano de obra y de talento; la concentración en áreas urbanas está cambiando las dinámicas sociales y desafiando los canales de comercialización tradicionales, pero también genera nuevos mercados y fomenta la innovación; los cambios en la economía global están reduciendo los tradicionales desequilibrios de poder entre los países occidentales y el resto del mundo; y las crecientes interconexiones crean nuevos riesgos pero también oportunidades para lanzar iniciativas de alcance global. Todas estas tendencias nos están obligando a repensar qué es el desarrollo humano y de qué manera deberíamos afrontar el reto de la pobreza. Es comúnmente aceptado que la globalización implica interdependencia y que, para conseguir un desarrollo humano sostenible, la colaboración entre actores de distintos ámbitos es necesaria. Se observa una creciente convergencia de temas, intereses y soluciones en torno al desarrollo sostenible, incluso en diferentes países y sectores, lo que está facilitando la colaboración estratégica entre empresas, gobiernos y sociedad civil. Existen pocas duda a día de hoy sobre el papel fundamental que las empresas deben desempeñar en la transición mundial hacia la sostenibilidad ambiental y la erradicación de la pobreza. Las empresas están evolucionando desde un enfoque tradicional centrado en la maximización de beneficios económicos hacia un enfoque holístico que integra la sostenibilidad y la responsabilidad social como parte del núcleo de negocio de las compañías. En el ámbito medioambiental, muchas empresas ya han comenzado a actuar y tratan de reducir sus emisiones, sus desechos y su consumo de energía. Sin embargo la contribución de las empresas a la reducción de la pobreza no está tan clara. Actualmente en torno a 1,2 miles de millones de personas viven en situación de extrema pobreza. La mayoría de estas personas aún vive en zonas rurales donde la mayor parte de la población activa trabaja en el sector agrícola. Por lo tanto, mejorar las oportunidades y reducir los riesgos de los productores más vulnerables en el sector de la agricultura puede ser un motor de desarrollo rural y reducción de la pobreza, especialmente en países de bajo nivel de desarrollo cuyas economías están fundamentalmente basadas en la agricultura. Algunas empresas comienzan a incluir a los pobres en sus operaciones como consumidores, proveedores y emprendedores. Esta tesis se centra en las potenciales oportunidades relacionadas con la incorporación sostenible de los pobres como proveedores de productos y/o de mano de obra. La colaboración entre empresas y productores vulnerables de países en desarrollo es un tema relativamente nuevo y todavía poco estudiado. La pregunta que guía esta tesis es: “¿Cómo pueden las empresas facilitar la inclusión sostenible en cadenas de suministro de productores vulnerables de los países menos desarrollados?”. Para responder a la pregunta anterior, la autora ha aplicado una metodología de casos de estudio. Esta metodología se considera apropiada porque la investigación sobre cadenas de suministro inclusivas es todavía escasa y porque es necesario entender en profundidad un fenómeno de la vida real, y para ello es fundamental conocer su contexto. En primer lugar, se realiza una revisión de literatura para identificar las proposiciones y los constructos teóricos que guiarán la posterior recogida de datos. La revisión de literatura se divide en dos partes: una más general que explora la dimensión social de la sostenibilidad en cadenas de suministro, y una más específica que se centra en la incorporación de los pobres como proveedores en cadenas de suministro. A lo largo de la última década, ha habido un crecimiento exponencial de los estudios académicos sobre la sostenibilidad de las cadenas de suministro, pero la mayoría de los esfuerzos se han dirigido hacia la dimensión medioambiental de la sostenibilidad. Por lo tanto la revisión de literatura, que se presenta en la Sección 3.1 (página 35) y que profundiza en la sostenibilidad social de las cadenas de suministro, puede considerarse una contribución en sí misma. Esta revisión de literatura revela que la investigación sobre aspectos sociales en cadenas de suministro está cobrando impulso en distintas áreas de conocimiento, principalmente en los ámbitos de investigación sobre “gestión de cadenas de suministro”, “responsabilidad social corporativa” y “estudios del desarrollo”. La investigación existente sobre sostenibilidad social de cadenas de suministro se centra en tres temas: aclarar la definición de sostenibilidad social; analizar la implementación de estrategias de sostenibilidad social en cadenas de suministro; y estudiar el apoyo de las em presas líderes a proveedores vulnerables para facilitar su transición hacia la sostenibilidad. Un marco conceptual que resume los principales hallazgos de esta primera parte de la revisión de literatura es planteado en la Figura 7 (página 48). No obstante, en el área de investigación que está emergiendo en torno a la sostenibilidad social de las cadenas de suministro, los estudios relacionados con la reducción de la pobreza son aún escasos. Además se aprecia una falta de contribuciones desde y sobre los países menos desarrollados, así como una clara tendencia a reflejar la visión de las empresas líderes de las cadenas de suministro, olvidando la perspectiva de los proveedores. La segunda parte de la revisión de literatura presentada en la Sección 3.2 (página 51) profundiza en tres líneas de investigación que exploran, desde distintas perspectivas, la inclusión de los pobres en cadenas de suministro. Estas líneas son “Global Value Chains” (GVC), “Base of the Pyramid” (BoP) y “Sustainable Supply Chain Management” (SSCM). La investigación en GVC analiza las cadenas de suministro desde la perspectiva de la globalización económica y el comercio internacional, poniendo especial énfasis en las implicaciones para los países en desarrollo y las comunidades vulnerables. GVC caracteriza las cadenas de suministro según la forma en la que son gobernadas, las oportunidades de mejora que existen para los productores que forman parte de la cadena y el grado de inclusión o exclusión de las comunidades más pobres y vulnerables. La investigación en BoP explora las relaciones comerciales entre empresas y comunidades pobres. La premisa fundamental del concepto BoP es la posibilidad de combinar la generación de beneficios con la reducción de la pobreza. La propuesta original es que mediante la venta de productos y servicios a las comunidades pobres de países en desarrollo, la pobreza puede ser reducida al tiempo que las empresas incrementan sus beneficios, especialmente las grandes empresas multinacionales. Esta idea ha ido evolucionando y, a día de hoy, los investigadores BoP consideran la incorporación de los pobres no sólo como consumidores sino también como empleados, proveedores y co-creadores. La investigación en SSCM ha estado fundamentalmente orientada al estudio de la dimensión medioambiental de la sostenibilidad de cadenas de suministro. Sin embargo, la creciente externalización de la producción a países en desarrollo y las demandas de los grupos de interés para que las empresas aborden todos los aspectos de la sostenibilidad han llevado a los académicos de SSCM a reconocer la importancia de integrar asuntos relacionados con la reducción de la pobreza en sus investigaciones. Algunos estudios comienzan a apuntar los principales retos a los que se enfrentan las empresas para colaborar con productores vulnerables en sus cadenas de suministro. Estos retos son: falta de comunicación, altos costes de transacción y el incremento de la complejidad de las operaciones. Las contribuciones de estas tres líneas de investigación son complementarias para el estudio de las cadenas de suministro inclusivas. Sin embargo, raramente han sido consideradas conjuntamente, ya que pertenecen a ámbitos de conocimiento distintos. Esta tesis integra las aportaciones de GVC, BoP y SSCM en un marco conceptual para la creación y gestión de cadenas de suministro inclusivas. Este marco conceptual para cadenas de suministro inclusivas queda representado en la Figura 9 (página 68). El marco conceptual refleja las motivaciones que llevan a las empresas a colaborar con productores vulnerables, los retos a los que se enfrentan al hacerlo, y los caminos o estrategias que están siguiendo para construir y operar cadenas de suministro inclusivas de manera que sean beneficiosas tanto para la empresa como para los productores vulnerables. A fin de validar y refinar el marco conceptual propuesto, tres casos de estudio se llevan a cabo. Las cadenas de suministro analizadas por los casos de estudio pertenecen al sector agrícola y sus principales proveedores se encuentran en países de África subsahariana. Múltiples métodos de recolección de datos y triangulación son utilizados para mejorar la fiabilidad de los datos. La autora desarrolló trabajos de campo en Senegal, Etiopía y Tanzania. Estos viajes permitieron enriquecer el proceso de recogida de información mediante entrevistas semiestructuradas y conversaciones informales con los principales actores de la cadena de suministro y mediante la observación directa de los procesos y las interacciones entre productores vulnerables y empresas. El Caso de estudio A (Sección 5.1 en página 96) es un caso de estudio único. Analiza la cadena de suministro local de verduras en Senegal. La organización focal es Manobi, una empresa senegalesa que provee servicios de bajo coste a emprendedores locales del sector agrícola. El Caso de estudio A proporciona un interesante análisis del funcionamiento de una cadena de suministro local en un país en desarrollo y muestra como la provisión de servicios profesionales puede mejorar el desempeño de productores vulnerables. El Caso de estudio B (Sección 5.2 en página 122) es un caso de estudio único. Analiza la cadena de suministro global de flor cortada con origen en Etiopía. La organización focal es EHPEA, la Asociación Etíope de Productores y Exportadores Hortícolas, cuya misión es promover y salvaguardar la posición competitiva del sector agrícola etíope en el mercado global. El Caso de estudio B ayuda a comprender mejor la perspectiva de los proveedores respecto a los requerimiento de sostenibilidad del mercado global. También muestra cómo la inclusión de los productores en el proceso de desarrollo de un estándar privado facilita su implementación posterior. El Caso de estudio C (Sección 5.3 en página 143) es un caso de estudio múltiple. Analiza la cadena de suministro global de café especial con origen en Tanzania. Las organizaciones focales son comerciantes que conectan de manera directa a pequeños agricultores de café en países en desarrollo con empresas tostadoras de café en países desarrollados. El Caso de estudio C muestra cómo un pequeño agricultor puede proveer un producto “premium” al mercado global, y participar en un segmento diferenciado del mercado a través de una cadena de suministro transparente y eficiente. Las aportaciones empíricas de los casos de estudio ayudan a validar y mejorar el marco conceptual sobre cadenas de suministro inclusivas (ver discusión en el Capítulo 6 en página 170). El resultado es la propuesta de una nueva versión del marco conceptual representado en la Figura 40 (página 195). Los casos de estudio también proporcionan interesantes aportaciones en relación a la gestión de cadenas de suministro inclusivas y muestran las perspectivas de distintos actores implicados. Esta tesis arroja luz sobre el papel de las empresas en la creación y la gestión de cadenas de suministro inclusivas llevando a cabo una revisión de literatura multidisciplinar y analizando tres casos de estudio en países africanos. Como resultado, esta tesis presenta una serie de contribuciones empíricas y teóricas al ámbito de investigación emergente en torno a las cadenas de suministro inclusivas (Capítulo 7). Esta tesis también pretende ser útil a profesionales que deseen facilitar la incorporación de los pobres como proveedores en condiciones justas y beneficiosas. ABSTRACT The global outlook is changing, and this is influencing the way we understand and try to achieve sustainable human development. Population growth entails increasing pressure over resources, but it also provides greater workforce and talent; concentration in urban areas is changing social dynamics and challenging traditional marketing channels, but also creating news markets and driving innovation; the global economy shift is rebalancing the traditional power imbalance between Western countries and the rest of the world, making new opportunities to arise; and interconnections and global interdependence create new risks but also opportunities for launching initiatives with a global reach. All these trends are impelling us to rethink what development is and in which way poverty alleviation should be approached. It is generally agreed that globalization implies interdependence and, in order to achieve sustainable human development, collaboration of all actors is needed. A convergence of issues, interests and solutions related to sustainable development is being observed across countries and sectors, encouraging strategic collaboration among companies, governments and civil society. There is little doubt nowadays about the crucial role of the private sector in the world’s path towards environmental sustainability and poverty alleviation. Businesses are evolving from a “business as usual” stance to a more sustainable and responsible approach. In the environmental arena, many companies have already “walk the talk”, implementing environmental management systems and trying to reduce emissions and energy consumption. However, regarding poverty alleviation, their contribution is less clear. There are around 1.2 billion people living in extreme poverty. Most of this people still live in rural areas where the agricultural sector employs a big part of the active population. Therefore, improving opportunities and reducing risks for vulnerable producers in the agri-food sector can be a primary engine of rural development and poverty alleviation, particularly in the poor, agriculture-based economies of least developed countries. Some companies are beginning to include the poor into their operations as consumers, suppliers and entrepreneurs. This thesis focuses specifically on the potential opportunities related to the sustainable incorporation of the poor as suppliers of products and/or labor. Business collaboration with vulnerable producers in developing countries is a relatively new trend and it is still understudied. The overall question guiding this thesis is: “How can businesses facilitate the sustainable inclusion of vulnerable producers from least developed countries into supply chains?”. In order to answer the research question, the author has applied a case study research strategy. This methodology is considered appropriate because research about inclusive supply chains is still at an early stage, and because there is a need to understand a real-life phenomenon in depth, but such understanding encompasses important contextual conditions. First, a literature review is conducted, in order to identify the research propositions and theoretical constructs that will guide the data collection. The literature review is divided in two parts: a more general one that explores the social dimension of sustainability of supply chains, and a more specific one that focuses on the incorporation of the poor as suppliers in supply chains. During the last decade, there has been an exponential growth of studies in the field of supply chain sustainability, but research efforts have traditionally been directed towards the analysis of the environmental dimension. Therefore, the literature review presented in Section 3.1 (page 35) that delves into social sustainability of supply chains can be considered a contribution in itself. This literature review reveals that the investigation of social issues in supply chains is gaining momentum and comes from different academic disciplines, namely Supply Chain Management, Corporate Social Responsibility and Development Studies. Existing research about social sustainability of supply chains focuses on three issues: clarify the definition of social sustainability; analyze the implementation of social sustainability strategies in supply chains; and study lead companies’ support to vulnerable suppliers in their transition towards sustainability. A conceptual framework that outlines the main findings that emerge from this first part of literature review is proposed in Figure 7 (page 48). Nevertheless, in this nascent field of social sustainability of supply chains, studies related to poverty alleviation are still scarce. Moreover, a lack of contributions from and about least developed countries has been observed, as well as a tendency to reflect on the lead firms’ standpoint, neglecting the suppliers’ perspective. The second part of the literature review (Section 3.2 in page 51) delves into three research streams that are exploring the inclusion of the poor into supply chains from different viewpoints. These research streams are Global Value Chains (GVC), Base of the Pyramid (BoP) and Sustainable Supply Chain Management (SSCM). GVC research discusses the dynamics of economic globalization and international trade, putting special emphasis in the implications for developing countries and vulnerable communities. GVC characterizes supply chains by the way they are governed, the upgrading opportunities that exist for producers in the chain and the degree of inclusion or exclusion of impoverished communities. BoP research explores trading relationships between businesses and impoverished communities. The core premise of the BoP concept is the possibility to combine profits with poverty alleviation. The original BoP proposition is that by marketing innovative products and services to poor communities in developing countries, poverty would be reduced and companies would increase their benefits, especially multinational companies. This idea has evolved to consider the incorporation of the poor to business activities not only as consumers, but also as employees, entrepreneurs and co-creators. The SSCM school of thought has mainly focused on studying the environmental dimension of supply chain sustainability, neglecting the consideration of the social perspective. However, in recent years, increasing outsourcing of production to developing countries and stakeholders’ demands for a more holistic approach to business sustainability have led SSCM scholars to acknowledge the importance of integrating poverty concerns in this field’s research agenda. Some SSCM studies identify the main operational challenges for companies which engage with vulnerable suppliers in their supply chains: missing communication, higher transactional and operational costs and increased complexity. Contributions from these three research streams are complementary for the study of inclusive supply chains. However, they have been rarely considered together, since they belong to different research areas. This thesis seeks to play a dovetailing role in this scenario by proposing a conceptual framework for creating and operating inclusive supply chains that builds on contributions from GVC, SSCM and BoP research. This framework for inclusive supply chains is depicted in Figure 9 (page 68), and explains the motivations that drive businesses to collaborate with vulnerable suppliers, the chal lenges they face in doing so, and the pathways they are following in order to build and operate inclusive supply chains profitably for both buying companies and vulnerable suppliers. In order to validate and refine the proposed framework, three case studies are carried out. The supply chains analyzed by the case studies belong to the agri-food sector and source from Sub-Saharan African countries. Multiple data collection methods and triangulation are used in order to improve reliability of findings. The author carried out field work in Senegal, Ethiopia and Tanzania. These travels enriched the data collection process, providing semi-structured interviews and informal conversations with the main actors in the supply chains, as well as direct observation of processes and interactions among companies and vulnerable suppliers. Case study A (Section 5.1 in page 96) is a single case study. It analyzes a local supply chain in Senegal providing vegetables to the local market. The focal organization is Manobi, a Senegalese inclusive business which provides affordable ICT services to local entrepreneurs in the agri-food sector. Case study A provides interesting insights into the dynamics of local supply chains and how professional services can help to improve their performance. Case study B (Section 5.2 in page 122) is a single case study. It analyzes a global supply chain with origin in Ethiopia providing cut flowers to the global commodity market. The focal organization is EHPEA, Ethiopian Horticulture Producers and Exporters Association, whose mission is to promote and safeguard the competitive position of the Ethiopian horticulture sector within the global market. Case study B helps to better understand the suppliers’ perspective regarding global market sustainability requirements and shows how the inclusion of suppliers in the process of development of a private standard has a positive impact in its implementation. Case study C (Section 5.3 in page 143) is a multiple case study. It analyzes a global supply chain with origin in Tanzania providing coffee to the global niche market of specialty coffee. The focal organizations are traders who are directly connecting smallholder coffee farmers in developing countries to coffee roasters in developed countries. Case study C shows how smallholder farmers can supply a premium product and be incorporated in a differentiated market segment through a transparent and efficient supply chain. The empirical findings from the case studies help to validate and refine the conceptual framework (see discussion in Chapter 6). The proposal of a new version of the conceptual framework is depicted in Figure 40 (page 195). The case studies also provide interesting insights related to the management of inclusive supply chains and show the perspectives of the different actors involved. This thesis sheds some light on the role of businesses in the creation and operation of inclusive supply chains by carrying out a cross-disciplinary literature review and analyzing three case studies in African countries. In doing so, this thesis presents a series of theoretical and empirical contributions to the emerging academic field of inclusive supply chains (Chapter 7). This thesis also intends to be useful to practitioners willing to improve the incorporation of the poor as suppliers in fair and profitable conditions.

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Traditionally, libraries have provided a modest amount of information about grants and funding opportunities to researchers in need of research funding. Ten years ago, the University of Washington (UW) Health Sciences Libraries and Information Center joined in a cooperative effort with the School of Medicine to develop a complete, library-based grant and funding service for health sciences researchers called the Research Funding Service. The library provided space, access to the library collection, equipment, and electronic resources, and the School of Medicine funded staff and operations. The range of services now includes individual consultation appointments, an extensive Web site, classes on funding database searching and writing grant applications, a discussion series that frequently hosts guest speakers, a monthly newsletter with funding opportunities of interest to the six health sciences schools, extensive files on funding sources, and referral services.

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Wetlands that are lost to development are not effectively compensated by the current wetland mitigation banking regulatory program due to inadequate monitoring and compliance. Based on a critical investigation of two wetland mitigation banks in Colorado described herein, recommendations are given to improve the effectiveness of the wetland mitigation banking program. The recommendations to improve mitigation banking are to specify and follow comprehensive monitoring and reporting plans, develop solid contingency and adaptive management plans, utilize specially developed checklists and templates, and impose enforcement when compliance is not met. Implementing these recommendations will assist regulators and bankers in achieving more effective wetland mitigation and will help the United States reach its no net loss of wetlands goal.

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Objective: To explore service providers’ perceptions in order to identify barriers and facilitators to effective coverage of Intimate Partner Violence (IPV) services for immigrant women in Spain, according to the different categories proposed in Tanahashi's model of effective coverage. Methods: A qualitative study based on 29 in-depth personal interviews and four group interviews with a total of 43 professionals working in public services (social and health-care services, women's refuges, the police force, the judiciary) and NGOs in Barcelona, Madrid, Valencia and Alicante (Spain) in 2011. Findings: Current IPV services in Spain partially fail in their coverage of abused immigrant women due to barriers of (i) availability, such as the inexistence of culturally appropriate services; (ii) accessibility, as having a residence permit is a prerequisite for women's access to different services and rights; (iii) acceptability, such as women's lack of confidence in the effectiveness of services; and (iv) effectiveness, for example, lack of specific training among professionals on the issues of IPV and immigration. However, interviewees also identified facilitators, such as the enabling environment promoted by the Spanish Law on Gender-Based Violence (1/2004), and the impetus it has provided for the development of other specific legislative tools to address IPV in immigrant populations in Spain (availability, accessibility and effectiveness). Conclusion: Whilst not dismissing cultural barriers, aspects related to service structure are identified by providers as the main barriers and facilitators to immigrant women use of IPV services. Despite noteworthy achievements, improvements are still required in terms of mainstreaming assistance tailored to immigrant women's needs in IPV policies and services.

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This article is the English version of “Terminología y traducción económica francés-español: evaluación de recursos terminológicos en el ámbito contable” by Daniel Gallego Hernández. It was not published on the print version of MonTI for reasons of space. The online version of MonTI does not suffer from these limitations, and this is our way of promoting plurilingualism.

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As the new European Commission steps in and looks for ways to promote growth and competitiveness, its success will depend on what emphasis will be given to creating a more sustainable European economy. What will determine the EU’s competitiveness and comparative advantage on a global scene is how well we will respond to the ongoing economic and ecological crises – which are intertwined and reinforce each other. The big question is what emphasis will the new Commission and the EU as a whole give to promoting sustainable and greener growth, based on good management of natural resources and biodiversity, smarter use of resources and mitigating climate change?

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This CEPS Special Report examines the main facets of the debate about TTIP and services. First, it looks at the political and economic context and the various alternatives in terms of political support, stressing that only a partnership that ensures substantial economic gains will attract the support of the top policy-makers. Second, the paper makes the point that large economic gains in services require deep discussions on regulatory issues, and third, such discussions cannot rely on the negotiating techniques normally used for goods. There is thus a need to adopt a new approach, based on the mutual recognition and equivalence of regulations enforced in the services concerned, preceded by a mutual evaluation to grant such equivalence – all measures to be carried out by the regulatory bodies concerned, not by trade negotiators. This new game is a complex one but it has huge side benefits: it induces each TTIP partner to review the quality of their own regulations; it is at ease with the notion of a ‘living’ (evolving) agreement; and it can easily be open to third countries. All these benefits should reassure a general public that is fearful of a hastily baked deal.