Natural disasters affect hundreds of millions of people worldwide every year. The impact assessment of a disaster is key to improve the response and mitigate how a natural hazard turns into a social disaster. An actionable quantification of impact must be integratively multi-dimensional. We propose a rapid impact assessment framework that comprises detailed geographical and temporal landmarks as well as the potential socio-economic magnitude of the disaster based on heterogeneous data sources: Environment sensor data, social media, remote sensing, digital topography, and mobile phone data. As dynamics of floods greatly vary depending on their causes, the framework may support different phases of decision-making during the disaster management cycle. To evaluate its usability and scope, we explored four flooding cases with variable conditions. The results show that social media proxies provide a robust identification with daily granularity even when rainfall detectors fail. The detection also provides information of the magnitude of the flood, which is potentially useful for planning. Network analysis was applied to the social media to extract patterns of social effects after the flood. This analysis showed significant variability in the obtained proxies, which encourages the scaling of schemes to comparatively characterize patterns across many floods with different contexts and cultural factors. This framework is presented as a module of a larger data-driven system designed to be the basis for responsive and more resilient systems in urban and rural areas. The impact-driven approach presented may facilitate public–private collaboration and data sharing by providing real-time evidence with aggregated data to support the requests of private data with higher granularity, which is the current most important limitation in implementing fully data-driven systems for disaster response from both local and international actors.

The blue and yellow damselfish Chromis limbaughi is a species protected by the Mexican federal government due to its commercial relevance as an aquarium fish. In this paper we present new records of the species at 17 locations north of its accepted northernmost distribution limit. Because of the abundance, relative occurrence, and the presence of adults and juveniles in the new sites, these might represent reproductive populations. It is probable that the species has settled successfully there in recent years by taking advantage of the warming of the region reported in the last decade.

Purpose-During recent decades, research institutions have increased collaboration with other institutions since it is recognized as a good practice that improves their performance. However, they do not usually consider external collaborations as a strategic issue despite their benefits. The purpose of this paper consists of identifying different patterns of collaboration and internationalization of universities, with the aim of helping managers and policy makers to take decisions related to their national research policies. Design/methodology/approach-Co-authorship analysis has been used in conjunction with social network analysis to model inter-institutional collaborations as networks, extracting these collaborations from the Web of Science database. Using several structural properties of the extracted networks and applying a statistical treatment, the main profiles of collaborations and internationalization have been obtained. Findings-Obtained results distinguish three patterns of collaborations according to the intensity and scope of collaborations. The statistical treatment also provides a segmentation of universities according to their collaboration profiles. Finally, universities are represented in bi-dimensional maps using external collaborations as a measure of similarity. Research limitations/implications-Although this study is restricted to English universities, it could probably be extended at least to other countries in the European Union or even other developed countries. Practical implications-Research and institutions productivity are usually linked to the amount of received funding. The use of indicators related to internationalization of institutions can help to avoid a bias in favour of research quantity rather than quality, and towards a short-term performance rather than a long-term research capacity. Originality/value-As a difference to previous works, this paper analyses networks of collaboration from the viewpoint of institutions. More specifically, the combination of social network analysis and factor analysis is used to identify patterns of collaboration among institutions. A longitudinal study is also included to demonstrate that the obtained categorization of universities is maintained over time.

Primer registro de un coral azooxantelado (Scleractinia) constructor de arrecifes, en Sinaloa, México (oriente del Golfo de California) Se presenta el primer registro de un coral azooxantelado constructor de arrecifes (Dendrophyllia oldroydae Oldroyd, 1924), encontrado frente a la costa del estado de Sinaloa, México, en el margen suroriental del Golfo de California. El hallazgo se complementó con un análisis de distribución de la especie que incluye el rango geográfico estimado según la Base de Datos para Invertebrados del Golfo, así como un modelo de nicho ecológico y de distribución potencial construido con un algoritmo de máxima entropía, basado en 11 variables oceanográficas: temperatura, salinidad, concentración de oxígeno, nitratos, fosfatos y silicatos, productividad primaria, omega de aragonita, profundidad, profundidad de la zona eufótica y tipo de sustrato en la zona costera (fondo blando o duro). Los resultados de ambos análisis denotan la alta probabilidad de ocurrencia de D. oldroydae en la costa de Sinaloa; el ejemplar recolectado extiende el rango geográfico conocido para esta especie hacia la región sureste del Golfo de California.

El comercio online y los sistemas de recomendación tienen un efecto sobre la demanda de distintos tipos de productos. El objetivo del artículo es probar si internet promueve los productos más populares o super-hit, los productos menos populares o nicho, o ambos, así como analizar cuantitativamente la coexistencia de los efectos super-hit y de «cola larga». Analizando la curva de distribución de las acciones realizadas por los consumidores en internet sobre 28 categorías de producto, se proponen dos métodos: el método de ajuste de la ley de potencia de la distribución del número de productos (factor de la oferta) por número de comentarios online (factor de la demanda) y el método del codo demarcado por el ajuste de la ley de potencia para probar matemáticamente la presencia de ambos fenómenos. Los datos se extrajeron con un crawler programado con Python y con la librería de código abierto Scrapy. Los hallazgos revelan que el boca a boca electrónico promueve estos fenómenos según las diferentes categorías de productos, así como su coexistencia. Entre las implicaciones gerenciales destacan las nuevas perspectivas sobre los mercados potenciales que pueden abrirse por la expansión de la cola.