The future of urban models in the Big Data and AI era: a bibliometric analysis (2000-2019)

This article questions the effects on urban research dynamics of the Big Data and AI turn in urban management. To identify these effects, we use two complementary materials: bibliometric data and interviews. We consider two areas in urban research: one, covering the academic research dealing with transportation systems and the other, with water systems. First, we measure the evolution of AI and Big Data keywords in these two areas. Second, we measure the evolution of the share of publications published in computer science journals about urban traffic and water quality. To guide these bibliometric analyses, we rely on the content of interviews conducted with academics and higher education officials in Paris and Edinburgh at the beginning of 2018

Un Algorithme génétique spécifique à une reformulation multi-requêtes dans un système de recherche d'information

National audienceCet article présente une approche de reformulation de requête fondée sur l'utilisation combinée de la stratégie d'injection de pertinence et des techniques avancées de l'algorithmique génétique. Nous proposons un processus génétique d'optimisation multi-requêtes amélioré par l'intégration des heuristiques de nichage et adaptation des opérateurs génétiques. L'heuristique de nichage assure une recherche d'information coopérative dans différentes directions de l'espace documentaire. L'intégration de la connaissance à la structure des opérateurs permet d'améliorer les conditions de convergence de l'algorithme. Nous montrons, à l'aide d'expérimentations réalisées sur une collection TREC, l'intérêt de notre approche

Clustering of Bi-Dimensional and Heterogeneous Times Series: Application to Social Sciences Data

We present an application of bi-dimensional and heterogeneous time series clustering in order to resolve a Social Sciences study issue. The dataset is the result of a survey involving more than eight thousand handicapped persons. Sociologists need to know if there are in this dataset some homogeneous classes of people according to two attributes: the idea that handicapped people have about the quality of their life and their couple status (i.e. if they have a partner or not). These two attributes are time series so we had to adapt the k-Means clustering algorithm in order to be efficient with this kind of data. For this purpose, we use the Longest Common Subsequence time series distance for its efficiency to manage time stretching and we extend it to the bidimensional and heterogeneous case. The results of our unsupervised process give some pertinent and surprising clusters that can be easily analyzed by sociologists.Présentation d'une application d'un "bi-dimensional and heterogeneous time series clustering" pour résoudre un problème en sciences sociales. Les données concernent plus de huit mille personnes en situation de handicap. Le problème est de savoir s'il existe de groupes homogènes vis-à-vis de la qualité de vie ressentie et de la vie de couple déclarée. A ces deux séries temporelles, un algorithme de k-Means clustering a été adapté. Nous avons utilisé the Longest Common Subsequence time series distance et nous l'avons étendue au cas bi-dimensionnel et hétérogène. Le résultat a été pertinent et surprenant, utile à l'analyse sociologique

Proposed Electronic Medical Record with Emphasis on Hepatitis Diagnosis

Introduction Medical domain is characterized, like many other domains, by an exponential evolution of the knowledge. There are a lot of tools which try to reduce the risk of error apparition in medical life. Medical decision becomes a very hard activity because the human experts, who have to make decisions, can hardly process the huge amounts of data. Diagnosis has a very important role here. It is the first step from a set of therapeutic actions, an error at this level can have dramatic consequences.The aim of this paper is to present a new electronic medical system for using it on patients with hepatitis virusinfection.Results: Hepatitis is a very complicated disease with numerous different types many of them can lead to serious diseases like cirrhosis and liver cancer. An early correct diagnosis and an adequate treatment could reduce the risks of liver cancer apparition or other severe diseases. The main goal of the system is to use artificial intelligence in order to offer predictions about patients infected with hepatitis virus and also to follow the healthcondition of the patient reevaluating at every time the initial diagnosis and suggesting tests and treatment. Our effort is to present a new electronic medical record that will “borrow” data from the standard health record of the patient and other resources where information is saved and will process it and give suggestions for the diagnosis and treatment of the patient and at the same time will use a simple operating environment, such as the internet, thus making it easy to use.Conclusions The medical record is a big step in improving health services in public hospitals. The proposed EMR with the use of artificial intelligence is the next logical step that will help in the diagnosis and early treatment of disease

Unveiling the path towards sustainability: scientific interest at HEIs from a scientometric approach in the period 2008-2017

Mención Internacional en el título de doctorLa humanidad ha experimentado el impacto de un modelo económico insostenible a todos los niveles. Este tema se ha cristalizado en diferentes cumbres y conferencias durante el siglo XX. Como resultado de esta preocupación, surgió el concepto de Desarrollo Sostenible (DS). Sin embargo, este concepto ha recibido muchas críticas por ser altamente antropocéntrico y compartimentado, carente de coherencia conceptual o interconexión entre todos los aspectos involucrados. Más tarde, la aparición de los Objetivos de Desarrollo del Milenio (ODM) en 2000 y los recientes Objetivos de Desarrollo Sostenible (ODS) en 2015 constituyen una nueva era. Este es el plan para lograr un futuro mejor y más sostenible para todos, en el que todos los agentes involucrados deben participar. En este punto, las instituciones de educación superior (IES) tienen un papel central y la sostenibilidad se ha convertido en una prioridad política para la ciencia. El objetivo de este estudio es conocer los patrones de la investigación llevada a cabo en investigación de sostenibilidad, incluido el flujo de actividad científica, así como la colaboración o el impacto que genera dicha investigación. Este estudio de doctorado explora cómo se puede delinear este concepto desde un enfoque bibliométrico, lo cual conduce a la ‘ciencia de la sostenibilidad’. La producción científica de artículos fue identificada y analizada en el período 2008-2017 en la Web of Science (WoS). Además, este estudio explora las instituciones de educación superior (IES) y su papel en el fomento de la sostenibilidad, mediante la evaluación de su investigación y la implementación de prácticas de sostenibilidad en las IES españolas. Además, presenta una delineación de los Objetivos de Desarrollo Sostenible (ODS) y propone una metodología para clasificar la producción científica en cada uno e los objetivos. El análisis de esta producción se realiza a través de indicadores bibliométricos unidimensionales y multidimensionales. Estos indicadores se han dividido y analizado en diferentes niveles de agregación, desde el más general hasta el más específico, comenzando con las características generales de investigación y descendiendo al nivel de país, instituciones o temática, entre otros. Los resultados muestran un interés creciente en la investigación de sostenibilidad y se observa una fuerte influencia del pilar medioambiental. Además, hay países con una alta producción científica pero no tan especializados en el tema como otros con una menor producción. En cuanto a las instituciones, los resultados obtenidos muestran que las IES realizaron un importante esfuerzo de investigación para el desarrollo sostenible y son las que producen un mayor número de documentos. Además, se observa que las instituciones tienden a colaborar con centros geográficamente próximos. Al analizar las Prácticas de sostenibilidad en las IES españolas, se encuentran asociaciones altas entre variables como la presencia de un Plan de Sostenibilidad y de una Oficina Verde. Sin embargo, este estudio demuestra claramente que, aunque se reconoce que el desarrollo sostenible es muy importante para las IES y la sociedad, todavía no está integrado en las estrategias, actividades y políticas de todo el sistema. Como conclusión, se afirma que es esencial identificar estrategias de sostenibilidad e introducir desarrollo sostenible en todas las actividades en el entorno de las IES. Finalmente, esta tesis contribuye a la literatura sobre instituciones de educación superior sostenibles, así como al análisis y la mejora de educación superior para el desarrollo sostenible, especialmente en el sistema de educación superior español. Además, este estudio contribuye al análisis bibliométrico al ofrecer dos propuestas de delineación científica para la ciencia de la sostenibilidad y los objetivos de desarrollo sostenible, así como metodologías para clasificar la producción científica. Este análisis denota la importancia de los estudios bibliométricos para el estudio y la caracterización de la producción científica en un campo transdisciplinario que, además, se puede extrapolar a otros campos de estudio.Humanity has experienced the impact of an unsustainable economic model at all levels. This topic has crystallized in different summits and conferences during the 20th century. As a result of this concern, the concept of sustainable development (SD) emerged. However, it has received much criticism for being highly anthropocentric and compartmentalized, and lacking conceptual coherence or interconnectedness among all the aspects involved. The introduction of the Millennium Development Goals (MDGs) in 2000 and the recent Sustainable Development Goals (SDGs) in 2015 heralded a new era. They represent a blueprint to achieve a better and more sustainable future for all, in which all stakeholders need to be involved. At this point, higher education institutions (HEIs) have a central role to play and sustainability has emerged as a policy priority for science. The objective of this study is to investigate the patterns of sustainability research, including the flow of scientific activity, as well as the collaboration or impact that such research generates. This doctoral study explores how can sustainability can be delineated from a bibliometric approach, leading to a new approach of “sustainability science”. The scientific production of articles was identified and analysed for the period 2008–2017 using the Web of Science (WoS). Moreover, this research study explores HEIs and their role in fostering sustainability, by assessing their research and the implementation of sustainability practices in Spanish HEIs. As well, it presents a delineation of the Sustainable Development Goals (SDGs) and proposes a methodology for classifying the output on each SDG. This analysis is done through unidimensional and multidimensional bibliometric indicators. These indicators have been divided and analysed in different levels of aggregation, from the most general to the most specific, starting with general research features and progressing to country, institutional, and thematic levels, among others. The results indicate a growing interest in sustainability research and a strong influence on the environmental pillar. Moreover, some countries with the highest scientific output are not as specialized in terms of topics as others with a lower output. Regarding institutions, the results obtained indicate that HEIs made an important research contribution to SD and are the ones that produce a higher number of documents. It was found that institutions tend to collaborate with other institutions that are close. By analysing sustainability practices in Spanish HEIs, it was found that there are more associations between variables such as having a sustainability plan and having a green office. However, this study clearly demonstrates that although SD is recognized as being very important to HEIs and society, it is not yet embedded in the whole system’s strategies, activities, and policies. In conclusion, this research study reveals that it is essential to identify sustainability strategies and introduce SD in all activities in the HEI environment. Finally, this thesis contributes to the literature on sustainable HEIs, as well as to how higher education for SD is understood and can be improved, especially in the Spanish higher education system. Moreover, this contributes to bibliometric study by offering two delineation approach to sustainability science and sustainable development goals as well as methodologies for classifying scientific output. This denotes the importante of bibliometric studies for the study and characterization of scientific output in a transdisciplinary field that can be extrapolated to other fields of study.Programa de Doctorado en Documentación: Archivos y Bibliotecas en el Entorno Digital por la Universidad Carlos III de MadridPresidente: Carlos Balaguer Bernaldo de Quirós.- Secretario: Birger Larsen.- Vocal: Sandra Sofía Ferreira Da Silva C

Networks in the Russian Market Economy

If Russia has become a market economy, how does it function on a grassroots level? In addition to market mechanisms, what kinds of social and moral principles are at work in the new Russian economy? Is the 'Soviet legacy' still present in post-Soviet business practices? This book searches for answers to these questions, by investigating the networking practices of the Russian software industry. It examines what kinds of resources are transmitted through the personal networks of Russian IT directors and managers, and which mechanisms govern this transmission. The volume opens a rarely available grassroots-level view into the business practices of the new Russian knowledge-based economy. This book is essential reading for all interested in Russian society, culture and economy

Reasoning with conditionals

This paper reviews the psychological investigation of reasoning with conditionals, putting an emphasis on recent work. In the first part, a few methodological remarks are presented. In the second part, the main theories of deductive reasoning (mental rules, mental models, and the probabilistic approach) are considered in turn; their content is summarised and the semantics they assume for if and the way they explain formal conditional reasoning are discussed, in particular in the light of experimental work on the probability of conditionals. The last part presents the recent shift of interest towards the study of conditional reasoning in context, that is, with large knowledge bases and uncertain premises