Big data analysis

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Big Data for 4D Global Urban Mapping – 10^16 Bytes from Social Media to EO Satellites

Year 2017
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Abstract
By 2050, around three quarters of the world’s population will live in cities. The new dimension of ongoing global migration into the cities poses fundamental challenges to our societies across the globe. Despite of increasing efforts, global urban mapping still drags behind the geometric, thematic and temporal resolutions of geo-information needed to address these challenges. Nowadays diverse sets of incomplete data exist. For example, Earth observation (EO) satellites reliably provide geodetically accurate large scale geo-information of the cities on a routine basis from space. But the data availability is limited by resolutions and acquisition geometries of the sensors. Complementarily, massive imagery, text messages and GIS data from open sources and social media are temporally quasi-seamless, spatially multi-perspective, but with diversely unknown qualities. With So2Sat I will jointly exploit big data from social media and satellite observations for global urban mapping, and aim at breakthroughs in 3D/4D urban modelling, infrastructure occupancy classification, and very high resolution population density mapping on a global scale for revolutionizing urban geographic research. The following methodological and application objectives will be addressed: improving urban-related information retrieval from EO satellite data (MO1), mining urban imagery and text messages from social media data (MO2), information fusion from heterogeneous data sources (MO3), big data processing (MO4), as well as pilot applications in informal settlements classification (AO1) and global population density estimation (AO2). The outcome of So2Sat will be the first and unique global and consistent spatial data set on urban morphology (3D/4D) of settlements, and a multidisciplinary application derivate assessing population density. This is seen as a giant leap for urban geography research as well as for formation of opinions for stakeholders based on resilient data.
1 Project

The accuracy, fairness, and limits of predicting recidivism

Authors Julia Dressel, Hany Farid
Year 2018
Journal Name SCIENCE ADVANCES
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2 Journal Article

Predicting ethnicity with first names in online social media networks

Authors Bas Hofstra, Niek C. de Schipper
Year 2018
Journal Name BIG DATA & SOCIETY
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3 Journal Article

InterCONnected NEXt-Generation Immersive IoT Platform of Crime and Terrorism DetectiON, PredictiON, InvestigatiON, and PreventiON Services

Year 2018
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Abstract
CONNEXIONs aims to develop and demonstrate next-generation detection, prediction, prevention, and investigation services. These services will be based on multidimensional integration and correlation of heterogeneous multimodal data, and delivery of pertinent information to various stakeholders in an interactive manner tailored to their needs, through augmented and virtual reality environments. The CONNEXIONs solution encompasses the entire lifecycle of law enforcement operations including: a) pre-occurrence crime prediction and prevention b) during-occurrence LEA operations c) post-occurrence investigation, and crime-scene simulation and 3D reconstruction. CONNEXIONs will meaningfully enhance operational and (near) real-time situational awareness, through automated identification, interpretation, fusion and correlation of multiple heterogeneous big data sources, as well as their delivery via immersive solutions. Such multimodal data include Surface/Deep/Dark Web and social media content in 7 languages (EN, FR, DE, PT, RO, ES, AR), data acquired by Internet of Things (IoT) devices, and digital evidence. CONNEXIONs will also provide chain-of-custody and path-to-court for digital evidence. The Project will adopt ethics and privacy by-design principles and will be customisable to the legislation of each member state. CONNEXIONs will be validated in field tests and demonstrations in 3 operational use cases: a) counter-terrorism security in large scale public events b) human trafficking investigations and mitigation c) crime investigation and training through 3D scene reconstruction. Extensive training of LEAs' personnel, hands-on experience, joint exercises, and training material will boost the uptake of CONNEXIONs tools and technologies. With a Consortium of 8 LEAs from 7 European countries, 5 Research/Academic partners, and 4 industry partners, CONNEXIONs delivers a strong representation of the challenges, requirements and tools to meet its objectives.
4 Project

Making big data work: smart, sustainable, and safe cities

Authors Bruno Lepri, Alex Pentland, Fabio Pianesi, ...
Year 2015
Journal Name EPJ DATA SCIENCE
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5 Journal Article

Heuristics of the algorithm: Big Data, user interpretation and institutional translation

Authors Goran Bolin, Jonas Andersson Schwarz
Year 2015
Journal Name BIG DATA & SOCIETY
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6 Journal Article

The evolution of #BlackLivesMatter on Twitter: social movements, big data, and race INTRODUCTION

Authors Rashawn Ray, Melissa Brown, Wendy Laybourn
Year 2017
Journal Name ETHNIC AND RACIAL STUDIES
Citations (WoS) 3
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7 Journal Article

Is Bigger Always Better? Potential Biases of Big Data Derived from Social Network Sites

Authors E Hargittai
Year 2015
Journal Name ANNALS OF THE AMERICAN ACADEMY OF POLITICAL AND SOCIAL SCIENCE
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8 Journal Article

The Rise of Big Data Policing: Surveillance, Race, and the Future of Law Enforcement

Authors Robert L. Smith
Year 2019
Journal Name THEORY IN ACTION
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9 Journal Article

The Rise of Big Data Policing: Surveillance, Race, and the Future of Law Enforcement

Authors Aaron Shapiro
Year 2018
Journal Name SURVEILLANCE & SOCIETY
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10 Journal Article

The Ethics of Translating High-Throughput Science into Clinical Practice

Authors Pilar N. Ossorio
Year 2014
Journal Name HASTINGS CENTER REPORT
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11 Journal Article

Inferring migrations: traditional methods and new approaches based on mobile phone, social media, and other big data

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Abstract
This project aims at exploring possibilities at-using social media data and big data in general for estimating (labour) mobility and migration in the EU. The report is published online. As results were promising, a pilot project will be launched on its basis sometime in 2017. **Feasibility Study:** http://ec.europa.eu/social/main.jsp?catId=738&langId=en&pubId=7910&type=2&furtherPubs=yes This report addresses the question of whether it is technically, financially and legally feasible to estimate geographic mobility and migration flows in the European Union. The study reviews state-of-the-art methods to measure stocks and flows of migrants using traditional data sources but also new and innovative data sources such as mobile phone data and social media data. It finds that it is indeed feasible to estimate geographic mobility and migration flows in the European Union but that that it depends on several important factors such as access to data, legal obstacles and desired outcomes that are outlined in the paper.
12 Project

A cybersecurity situational awareness and information sharing solution for local public administrations based on advanced big data analysis

Year 2017
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Abstract
Cybersecurity is one of today's most challenging security problems for commercial companies, NGOs, governmental institutions as well as individuals. Reaching beyond the technology focused boundaries of classical information technology (IT) security, cybersecurity includes organizational and behavioural aspects of IT systems and also needs to comply to the currently actively developing legal and regulatory framework for cybersecurity. For example, the European Union recently passed the Network and Information Security (NIS) directive that obliges member states to get in line with the EU strategy. While large corporations might have the resources to follow those developments and bring their IT infrastructure and services in line with the requirements, the burden for smaller organizations like local public administration will be substantial and the required resources might not be available. New and innovative solutions that will help local public administration to ease the burden of being in line with cybersecurity requirements are needed. For example, cooperation and coordination is one of the major aspects of the NIS and EU cybersecurity strategy. An enabling technology for cooperation and coordination is cyber situational awareness and information sharing of cyber incidents. In this project we propose a cybersecurity situational awareness solution for local public administrations that, based on an analysis of the context provides automatic incident detection and visualization, and enables information exchange with relevant national and EU level NIS authorities like CERTs. Advanced features like system self-healing based on the situational awareness technologies, and multi-lingual semantics support to account for language barriers in the EU context, are part of the solution.
13 Project

Personalized routing for multitudes in smart cities

Authors Manlio De Domenico, Alex Arenas, Marta C. Gonzalez, ...
Year 2015
Journal Name EPJ DATA SCIENCE
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14 Journal Article

Methodologies and Data mining techniques for the analysis of Big Data based on Longitudinal Population and Epidemiological Registers

Year 2016
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Abstract
European societies face rapid social changes, challenges and benefits, which can be studied with traditional tools of analysis, but with serious limitations. This rapid transformation covers changes in family forms, fertility, the decline of mortality and increase of longevity, and periods of economic and social instability. Owing to population ageing across Europe, countries are now the experiencing the impact of these rapid changes on the sustainability of their welfare systems. At the same time, the use of the space and residential mobility has become a key topic, with migrations within the EU countries and from outside Europe being at the center of the political agenda. Over the past decade research teams across Europe have been involved in the development and construction of longitudinal population registers and large research databases, while opening up avenues for new linkages between different data sources (ie administrative and health data) making possible to gain an understanding of these fast societal transformations. However, in order to work with these types of datasets requires advanced skills in both data management and statistical techniques. LONGPOP aims to create network to utilize these different research teams to share experiences, construct joint research, create a training track for specialist in the field and increase the number of users of these large – possibly underused - databases, making more scientists and stakeholders aware of the richness in the databases.
15 Project

SILKNOW. Silk heritage in the Knowledge Society: from punched cards to big data, deep learning and visual / tangible simulations

Year 2018
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Abstract
Silk was a major factor for progress in Europe, mostly along the Western Silk Road’s network of production and market centres. Silk trade also allowed for exchange of ideas and innovations. Punched cards were first used in Jacquard silk looms, long before modern computers were even imagined. Today, too, fashion and high-end textile industries have a huge impact in the EU, reaching €525 billion in annual turnover. Silk, however, has become a seriously endangered heritage. Although many European specialized museums are devoted to its preservation, they usually lack size and resources to establish networks or connections with other collections. SILKNOW aims to produce an intelligent computational system that goes beyond current technologies in order to improve our understanding of European silk heritage. This legacy will be studied, showcased and preserved through the digital modelling of its weaving techniques (a “Virtual Loom”). Users will access the resulting information through visual and tangible simulations, and experience vastly enhanced search tools, providing better results through automatic visual recognition, advanced spatio-temporal visualization, multilingual and semantically enriched access to existing digital data. Thus, SILKNOW will improve the understanding of EU heritage and its rich diversity, applying next-generation ICT research to the needs of various users (museums, education, tourism, creative industries, media…), and preserving an intangible heritage (ancient weaving techniques) for younger generations. Its research activities and outputs will have direct impact in computer science and big data management, focusing on searching digital content in heterogeneous, multilingual and multimodal databases. SILKNOW will be possible only with the close cooperation of a multidisciplinary team, including areas as ICT, text analytics, image processing, semantics, big data, 3D printing, art history, terminology, textile fabrication and conservation.
16 Project

The Changing Space of Families: A Genealogical Approach

Authors Alice Bee Kasakoff
Year 2019
Journal Name SOCIAL SCIENCE HISTORY
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17 Journal Article

Crossing Social and Spatial Borders as an Everyday Life: Big Data to Reveal Transnational People, Their Mobilities and Spaces. (165 000 €)

Year 2016
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Abstract
Summary in English not available, Summary in Finnish: Tieteellinen tutkimus / siihen pohjautuva työ | 4-vuotinen hanke | Hankkeen teemat liittyvät Suomen muuttuvat naapuruudet -ohjelmaan Globaalissa verkostoituneessa maailmassa ihmisten liikkuvuus on ennennäkemätöntä ja kasvaa edelleen. rajojen ylitykset, kuten muuttoliikkeet, matkailu ja naapurimaassa töissä käyminen vaikuttaa niin ihmisiä kuin myös yhteiskuntarakenteita. Valtavien Ihmisvirtauksien tarkasteluun aika-tilassa ei ole sopivia menetelmiä. Siksi ”big dataan” pohjautuvaan yhteiskunnalliseen tutkimukseen kohdistuu paljon odotuksia, mutta siihen liittyy myös paljon tietämättömyyttä sen sopivuudesta. Projektissa tutkitaan, miten sosiaalisen median ja matkapuhelin aineistoihin pohjautuvan tutkimisen kriittisellä menetelmäkehityksellä saisi tarjota aivan uusia näkökulmia vaikeasti tutkittavan rajat ylittävän ihmisten tarkasteluun. Erityinen kiinnostus keskittyy nopeasti kehittyvään ilmiöön Euroopassa - ihmisiin, joille valtiorajojen ylittäminen on arkipäivää. Lähtökohtana avoin tiede 2.0 ja uudet ”big datan” analyyttiset työkalut, tämä projekti avaa aivan uusia näkökulmia ihmisten rajat ylittävästä liikkumisesta yksilö tasolla muodostaen näin liikkuvat ihmisvirrat, jotka luo aivan uusia toiminallisia alueita tämänhetkisten rajojen yli. Tämä monitieteinen projekti tarjoaa: (1) uusia käsitteitä ja menetelmiä ihmisen liikkuvuuden tutkimiseen; 2) merkittäviä ja empiiriseen tietoon pohjautuvaa tietoa valtion rajojen yli liikkuvien ihmisten liikkumisista; 3) laajempaa ymmärrystä rajat ylittävien ihmisten elämästä Suomesta ja niiden vuorovaikutuksesta suomalaiseen yhteiskuntaan siihen vaikuttavista tekijöistä. ”Big dataan” pohjautuvaan yhteiskunnalliseen tutkimukseen kohdistuu paljon odotuksia, mutta siihen liittyy myös paljon tietämättömyyttä sen edustavuudesta ja uuden ymmärryksen uskottavuudesta. Sisällönlouhinnan kehitys on kuitenkin vasta alussa. Projekti saa kriittisen menetelmäkehityksen kautta tarjota aivan uusia näkökulmia vaikeasti tutkittavan rajat ylittävän ihmisten liikkumisen tarkasteluun. Sen kautta saisi uutta merkittävää tietoa transnationaalisuudesta nopeasti muuttuvassa maailmassa.
18 Project

TRANS-MIGRANTS IN MEXICO: A POLICY AND ONLINE COMMUNICATIONS CASE STUDY OF THE 2014 CENTRAL AMERICAN REFUGEE CRISIS IN THE MEXICAN CONTEXT

Authors Lidija Kos-Stanisic, Emil Cancar, Josh Richardson
Year 2018
Journal Name TEORIJA IN PRAKSA
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19 Journal Article

Mobile Positioning Data as a Source for Aggregated Human Mobility Statistics

Year 2015
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Abstract
Mobile positioning data can increase our understanding of movements in society and for businesses it helps map the locations of its customers. In an industry worth $11 billion in a few short years, there are few competitors. Positium positions itself between the client and mobile network operator to analyze Big Data of mobile phone locations, providing clients with faster and more cost-effective analysis based on a large population rather than a sample. There are multiple domains where such data is directly relevant. The objective of the business plan is to conduct domain-specific market research, assess the requirements for development of the technology and specify the business model for Positium Data Mediator – a product to extract, process and deliver the insights from mobile big data to users globally. At current stage, Positium Data Mediator works in Estonia in domains like urban planning, transportation planning, geo-marketing, tourism statistics. Positium is transforming from a global market leader in its home market to a global player in multiple markets in the EU and emerging countries. The business plan will be vital to narrow down the focus for expansion and determine strategies to pick the low-hanging fruit. In the business plan, the selection of domains, geographical regions and development requirements will be investigated using surveys and interviews among potential customers, market research and financial calculations. The outcome of the business plan is a recommendation on the geographic expansion, business model and the need for technology development, and a business plan.
20 Project

MOBPOSSTAT: Mobile Positioning Data as a Source for Aggregated Human Mobility Statistics

Year 2015
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Abstract
Mobile positioning data can increase our understanding of movements in society and for businesses it helps map the locations of its customers. In an industry worth $11 billion in a few short years, there are few competitors. Positium positions itself between the client and mobile network operator to analyze Big Data of mobile phone locations, providing clients with faster and more cost-effective analysis based on a large population rather than a sample. There are multiple domains where such data is directly relevant. The objective of the business plan is to conduct domain-specific market research, assess the requirements for development of the technology and specify the business model for Positium Data Mediator – a product to extract, process and deliver the insights from mobile big data to users globally. At current stage, Positium Data Mediator works in Estonia in domains like urban planning, transportation planning, geo-marketing, tourism statistics. Positium is transforming from a global market leader in its home market to a global player in multiple markets in the EU and emerging countries. The business plan will be vital to narrow down the focus for expansion and determine strategies to pick the low-hanging fruit. In the business plan, the selection of domains, geographical regions and development requirements will be investigated using surveys and interviews among potential customers, market research and financial calculations. The outcome of the business plan is a recommendation on the geographic expansion, business model and the need for technology development, and a business plan.
21 Project

Evaluating the effectiveness of urban growth boundaries using human mobility and activity records

Authors Ying Long, Haoying Han, Yichun Tu, ...
Year 2015
Journal Name CITIES
Citations (WoS) 23
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22 Journal Article

Evaluating the effectiveness of urban growth boundaries using human mobility and activity records

Authors Ying Long, Haoying Han, Yichun Tu, ...
Year 2015
Journal Name CITIES
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23 Journal Article

Datafied and Divided: Techno-Dimensions of Inequality in American Cities

Authors Monica M. Brannon
Year 2017
Journal Name CITY & COMMUNITY
Citations (WoS) 2
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24 Journal Article

Vertical and horizontal approaches to the making of racial statistics in Britain

Authors Laurence Brown
Year 2016
Journal Name ETHNIC AND RACIAL STUDIES
Citations (WoS) 1
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25 Journal Article

The Promise and Perils of Open Medical Data

Authors Sharona Hoffman
Year 2016
Journal Name HASTINGS CENTER REPORT
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26 Journal Article

Economic Assimilation and Skill Acquisition: Evidence From the Occupational Sorting of Childhood Immigrants

Authors Marigee Bacolod, Marcos A. Rangel
Year 2017
Journal Name DEMOGRAPHY
Citations (WoS) 5
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27 Journal Article

Economic Assimilation and Skill Acquisition: Evidence From the Occupational Sorting of Childhood Immigrants

Authors Marigee Bacolod, Marcos A. Rangel
Year 2017
Journal Name DEMOGRAPHY
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28 Journal Article

Spatial housing economics: A survey

Authors Geoffrey Meen
Year 2016
Journal Name URBAN STUDIES
Citations (WoS) 7
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29 Journal Article

European Union Case Law Corpus: creating a multilingual and searchable corpus of case law from EU member state courts and the European Court of Justice.

Year 2016
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Abstract
The idea to be taken to proof of concept is to develop and test an innovative EU Case Law Corpus (EUCLCORP). EUCLCORP will be a standardised, multidimensional and multilingual corpus of the case law of the Court of Justice of the European Union (CJEU) and of the constitutional/supreme courts of EU member states. Unlike databases, in which users can carry out only relatively straightforward searches, for the occurrence of specific terms or keywords, corpora allow users to search and track how particular linguistic expressions and features are used in context. The corpus will be coded linguistically and with metadata to enable stakeholders such as lawyers, legal translators, lexicographers and linguists, as well as academics to compare meanings of terms across languages and legal systems, to compare translation options and monitor the consistency of translation in EU case law. Furthermore, EUCLCORP will allow users to track the migration of terms between legal systems and to create data-driven legal dictionaries and terminological databases. No such corpus currently exists. By adding to the big data currently available in legal databases, EUCLCORP will contribute to a better understanding of EU law and of the Europeanisation of law as well as improved administration of justice.
30 Project

Unveiling patterns of international communities in a global city using mobile phone data

Authors Paolo Bajardi, Andre Panisson, Michele Tizzoni, ...
Year 2015
Journal Name EPJ DATA SCIENCE
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31 Journal Article

Spatiotemporal Context Awareness for Urban Traffic Modeling and Prediction: Sparse Representation Based Variable Selection

Authors Su Yang, Minjie Wang, Shixiong Shi, ...
Year 2015
Journal Name PLOS ONE
Citations (WoS) 14
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32 Journal Article

Inferences about spatiotemporal variation in dengue virus transmission are sensitive to assumptions about human mobility: a case study using geolocated tweets from Lahore, Pakistan

Authors Moritz U. G. Kraemer, T. Alex Perkins, David L. Smith, ...
Year 2018
Journal Name EPJ DATA SCIENCE
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33 Journal Article

Mapping, IdentifyiNg and Developing skills and opportunities in operating environments to co-create innovative, ethical and effective ACTions to tackle radicalization leading to violent extremism

Year 2017
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Abstract
MINDb4ACT is a collaborative project participated by 7 LEAs, think-tanks, reserach centres, universities, industry associations and NGO based in 10 Member States (Austria, Belgium, Denmark, Finland, France, Germany, Italy, Poland, Spain and United Kingdom). The project will align its research priorities with some of the most relevant issues already identified by the European Commission: Priority 1. Systematizing the available knowledge and expertise to support strategic decision-making Priority 2. Enhancing interdisciplinary fieldwork on terrorists' recruiting grounds, socialisation and techniques Priority 3. Using big data in order to analyse the information related to the communication practices of violent radicalisation Priority 4.Improving existing links between academia including non-EU researchers, policy-makers and other stakeholders MINDb4ACT will contribute to such priorities for the improvement of current counter-violent extremism policies (CVEs) in the countries represented in the consortium (Austria, Belgium Denmark, Finland, France, Germany, Italy Poland, Spain and United Kingdom) and the generation of new ones connecting through collaboration ecosystems (innovative, open, participatory, user-centred environments) to co-design interventions such as research actions, exchanges, strategic-policy exercises, training courses and pilot projects based on social innovation and civic engagement schemes (a community of practice of 1,500 people). All actions will be developed in 5 specific domains: prisons and judiciary system; migration hotspots and asylum centres, schools, cities (peri-urban contexts) and the Internet and media. A special contribution of the project will be the integration of technology based practical solutions with the contribution of the industry. As mentioned in the call, MINDb4ACT will NOT be 'focused on studying the phenomenon of radicalization' but focused on 'developing policy recommendations and practical solutions for end-users'.
34 Project

Contesting #StopIslam: The Dynamics of a Counter-narrative Against Right-wing Populism

Authors Elizabeth Poole, Eva Giraud, Ed de Quincey
Year 2019
Journal Name OPEN LIBRARY OF HUMANITIES
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35 Journal Article

Semantic Indexing of French Biomedical Data Resources - mobility

Year 2016
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Abstract
The Semantic Indexing of French Biomedical Data Resources (SIFR - www.lirmm.fr/sifr) project investigates the scientific and technical challenges in building ontology-based services to leverage biomedical ontologies and terminologies in indexing, mining and retrieval of biomedical data. We will build and improve an ontology-based indexing workflow (Annotator) similar to what exists for English but specialized for other EU languages, starting with French. This will be the first step in offering semantic and multilingual search and mining of biomedical data resources. Our main goal is to enable straightforward use of ontologies freeing health researchers to deal with knowledge engineering or multilingualism issues and to concentrate on biological/medical challenges. SIFR (2013-2017) is a collaborative action between LIRMM & BMIR currently mainly funded by the French National Research Agency (ANR) Young Researcher program. This proposal (SIFRm) aims to fund the mobility of Dr. Clement Jonquet, SIFR’s principal investigator, assistant professor at LIRMM, to Stanford University. Stanford BMIR, head by Pr. Musen, is a worldwide leader providing (English-)ontology-based services to assist health professionals in the design of biomedical knowledge-based systems. BMIR is the birthplace of tools such as Protégé or BioPortal and scientific methodologies such as data driven medicine that Dr. Jonquet will acquire and reuse in a multilingual (e.g., French) and multidisciplinary (e.g., agronomy) context. During the return phase, a secondment is planned within INRIA ZENITH team, head by Dr. Valudriez, renown for distributed big data management. SIFRm will enable development of innovating scientific services to make annotation goes beyond English and reach another level in terms of variety and amount of data, e.g., French electronic health records. The project is a great career opportunity and guarantees a 2-way knowledge transfer between EU & US (informatics & biomedical skills).
36 Project

LINGOKIDS: Adaptive mobile platform for language learning for early age children

Year 2016
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Abstract
Because of the globalisation, language learning and bilingualism has been introduced in education from the earliest years of schooling. Recent studies show that the best age for a person to learn a second language is 2 to 6 years. Monkimun, aware of this need, is developing an ecosystem of educational game-based Apps that are based on a rigorous scientific research on the psychopedagogy of the learning process in early childhood, together with Universities and research centres. The propose LINGOKIDS project seeks to become the reference mobile platform available in the market for adaptive language learning, focus on early age children, based on multiple intelligences theory, Big Data techniques, Artificial Intelligence (AI) algorithms, and following a game-based learning methodology. The platform will be able to identify the children's learning pace during play and automatically adapt educational content for a customized learning. In addition to this, LINGOKIDS platform will provide parents and educators with tracking tools and periodic reports, and a user interface framework to co-design tailor-made lessons upon this intelligence. The envisage LINGOKIDS platform will provide parents and educators with the most innovative solution available in the market to empower early age children with a funny and motivating tool to start learning a foreign language without supervision (but monitored) in a highly customized way, attending at children learning evolution and preferences on the type of lessons (games). The global market of educational apps for children between 2 and 6 years represents 9.5% of the total market for mobile active applications, which means more than 114 million mobile apps. This market is expected to grow from $1,500 million in 2012 to $2,300 million in 2017. Through the LINGOKIDS project, we seek positioning our company as the leading player providing mobile language learning services for early age children.
37 Project

Economic conditions, group relative deprivation and ethnic threat perceptions: a cross-national perspective

Authors Bart Meuleman, Koen Abts, Peter Schmidt, ...
Year 2019
Journal Name Journal of Ethnic and Migration Studies
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38 Journal Article

Differentiated Threat and the Genesis of Prejudice: Group-Specific Antecedents of Homonegativity, Islamophobia, Anti-Semitism, and Anti-Immigrant Attitudes

Authors Bart Meuleman, Koen Abts, Koen Slootmaeckers, ...
Year 2019
Journal Name Social Problems
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39 Journal Article

Male Violence in Syrian Refugees and Turkish Married Woman in Kilis Sample

Authors Feride Vural
Year 2018
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40 Book

Modeling Multiple-country Repeated Cross-sections. A Societal Growth Curve Model for Studying the Effect of the Economic Crisis on Perceived Ethnic Threat

Authors Eldad Davidov, Bart Meuleman, Jaak Billiet
Year 2018
Journal Name METHODS DATA ANALYSES
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41 Journal Article

Do integration policies relate to economic and cultural threat perceptions? A comparative study in Europe

Authors Marie-Sophie Callens, Bart Meuleman
Year 2017
Journal Name International Journal of Comparative Sociology
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42 Journal Article

Differentiated threat and the explanation of prejudices: Anti-immigrant attitudes, Islamophobia, anti-Semitism and homonegativity compared

Authors Bart Meuleman, Koen Abts, Koen Slootmaeckers, ...
Year 2017
Journal Name Sociologos
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44 Journal Article

The Comparability of Measurements of Attitudes Toward Immigration in the European Social Survey: Exact Versus Approximate Measurement Equivalence

Authors Eldad Davidov, Jan Ciechiuc, Bart Meuleman, ...
Year 2015
Journal Name Public Opinion Quarterly
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45 Journal Article
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