Abstract Well-being is an important value for people’s lives, and it could be considered as index of societal progress. Researchers have suggested two main approaches the overall measurement well-being, objective subjective well-being. Both approaches, well their relevant dimensions, been traditionally captured with surveys. During last decades, new data sources alternative or complement to traditional data. This paper aims present theoretical background by distinguishing between used...

An intriguing open question is whether measurements made on Big Data recording human activities can yield us high-fidelity proxies of socio-economic development and well-being. Can we monitor predict the a territory just by observing behavior its inhabitants through lens Data? In this paper, design data-driven analytical framework that uses mobility measures social extracted from mobile phone data to estimate indicators for We discover diversity mobility, defined in terms entropy individual...

Abstract The timely, accurate monitoring of social indicators, such as poverty or inequality, on a finegrained spatial and temporal scale is crucial tool for understanding phenomena policymaking, but poses great challenge to official statistics. This article argues that an interdisciplinary approach, combining the body statistical research in small area estimation with data mining based Big Data, can provide novel means tackle this problem successfully. Data derived from digital crumbs...

Models of human migration provide powerful tools to forecast the flow migrants, measure impact a policy, determine cost physical and political frictions more. Here, we analyse individuals from cities in US, finding that city follows scaling laws, so size is significant factor determining whether, or not, an individual decides migrate both origin destination play key roles selection destination. We observe small tend more frequently, tending move similar-sized cities, whereas large do not...

The large availability of mobility data allows us to investigate complex phenomena about human movement. However this adundance comes with few information the purpose In work we address issue activity recognition by introducing Activity-Based Cascading (ABC) classification. Such approach departs completely from probabilistic approaches for two main reasons. First, it exploits a set structural features extracted Individual Mobility Network (IMN), model able capture salient aspects individual...

Human mobility across national borders is a key phenomenon of our time. At the global scale, however, we still know relatively little about structure and nature such transnational movements. This study uses large dataset on monthly air passenger traffic between 239 countries worldwide from 2010 to 2018 gain new insights into (a) trends over time (b) types mobility. A series decomposition used extract trend seasonal component. The component permits—at higher level granularity than previous...

On May 18th 2021 more than 8000 people irregularly crossed the EU external border between Morocco and Ceuta. was accused of not acting diligently enough to prevent this unprecedented influx. Interestingly, occurred in a geopolitical context rising tensions within Spanish-Moroccan diplomatic relations-triggered by Trump administration's recognition Moroccan sovereignty over Spanish former colony Western Sahara 2020. Things reached peak complexity when Brahim Ghali, secretary-general Saharawi...

The huge quantity of positioning data registered by our mobile phones stimulates several research questions, mainly originating from the combination this with extreme heterogeneity tracked user and low granularity data. We propose a methodology to partition users GSM phone calls into profiles like resident, commuters, in transit tourists. analyses top-down bottom up techniques where phase is based on sequence queries that identify some behaviors. bottom-up machine learning find groups...

Nowadays mobile phone data are an actual proxy for studying the users' social life and urban dynamics. In this paper we present Sociometer, analytical framework aimed at classifying users into behavioral categories by means of their call habits. The process starts from spatio-temporal profiles, learns different behaviors, returns annotated profiles. After description methodology its evaluation, application Sociometer city one small big city, evaluating impact events in these cities.

Visas are an important means for countries to regulate the potential access of non-nationals their territory. Past datasets and quantitative research on visas have focused visa waivers, ignoring fact that visas, where demanded, can vary greatly by cost. This paper presents a novel dataset based manual collection costs travel between global set country pairs in seven different categories (tourist, work, student, family reunification, business, transit, other). Our analyses reveal strong cost...

This information about our GSM calls is stored by the TelCo operator in large volumes and with strict privacy constraints making it challenging analysis of these fingerprints for inferring mobility behavior. paper proposes a strategy behavior identification based on aggregated calling profiles mobile phone users. compact representation user call input mining algorithm automatically classifying various kinds A further advantage having defined that phase summarized privacy-preserving original...

In this article, we address a gap in the scholarship on (super)diversity, discrimination and racism by placing experiences of non-western migrants Roma people same conceptual framework stigmatization based racialization aporophobia. Including (formally non-recognized) national minority, Spanish Roma, such an analysis implies moving from superdiversity applied to immigrants broader one, which also applies notion racialized citizens country, shifting focus inner-group features exogenous...

In this paper we investigate the regularities characterizing temporal purchasing behavior of customers a retail market chain. Most literature studying focuses on what buy while giving few importance to dimension. As consequence, state art does not allow capturing which are patterns each customers. These should describe customer's habits highlighting when she typically makes purchase in correlation with information about amount expenditure, number purchased items and other similar aggregates....

The increasing availability of large amounts data and digital footprints has given rise to ambitious research challenges in many fields, which spans from medical research, financial commercial world, people environmental monitoring. Whereas traditional sources census fail capturing actual up-to-date behaviors, Big Data integrate the missing knowledge providing useful hidden information analysts decision makers. With this paper, we focus on identification city events by analyzing mobile phone...

Nous analysons ici le processus de « frontiérisation » en Espagne, dans sa relation aux crises migratoires qui se produisent façon récurrente certains segments la ligne frontalière. abordons les modalités par lesquelles un phénomène structurel comme l'immigration irrégulière est politisé et géré exceptionnel ». Pour mieux comprendre cette dynamique, nous étudions, d'une part, cas Ceuta Melilla lieux privilégiés du traitement l'urgence et, d'autre des îles Canaries point névralgique éphémère...

Abstract In 2019, Spain had the third highest number of asylum applications in Europen Union, after Germany and France. The grew from 31,120 2017 to 55,668 2018 118,264 2019. Following this exponential increase, accommodation places state reception system has risen almost proportionally. changing context, article seeks explain regulation Spain. critical refugee studies Global North South, we argue that Spanish is characterized by a hybrid model imposes forms discipline neglect. By using...

The permeability of nation-state borders determines the flow people and commodities between countries therefore greatly influences many aspects human development from trade economic inequality to migration ethnic composition societies worldwide. While past research on topic has focused border fortification (walls, fences, etc.) or legal dimension controls, we take a different approach by arguing that transport infrastructure (paths, roads, railroads, ferries) together with political...

The extremely high rates of school failure among Spanish Roma children are a cause great concern, and frequently the target policies projects both at local, national European level. There is still general perception that overall lack interest in studies, coherent with dominant discursive framework tends to essentialise people view their practices choices as primarily motivated by culture. We challenge this offering more complex account on educational expectations families. Based extensive...