Análisis de grandes datos

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Blockchain-driven digital nomadism in the Basque e-Diaspora

Authors Igor Calzada, Igor Calzada
Year 2023
Journal Name Globalizations
Citations (WoS) 5
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2 Journal Article

Big Data and Twitter for the study of migration processes: Methods, research technics, and software

Authors Estrella Gualda, Carolina Rebollo
Year 2020
Citations (WoS) 2
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5 Journal Article

La Inteligencia Artificial en la educación: Big data, cajas negras y solucionismo tecnológico

Authors Xavier Giró-Gracia, Juana María Sancho-Gil
Year 2022
Journal Name Revista Latinoamericana de Tecnología Educativa - RELATEC
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6 Journal Article

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

Description
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.
Year 2017
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7 Project

The accuracy, fairness, and limits of predicting recidivism

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

Reputation assessment and visitor arrival forecasts for data driven tourism attractions assessment

Authors Enrico Collini, Paolo Nesi, Gianni Pantaleo
Year 2023
Citations (WoS) 2
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10 Journal Article

THE OTHER AND THE OTHER'S CULTURE: REVEALING MODELS OF OTHERNESS ON THE BASIS OF RUSSIANS' SEARCH QUERIES IN THE INTERNET

Authors Rastyam Tuktarovich Aliev
Year 2019
Journal Name ZHURNAL FRONTIRNYKH ISSLEDOVANII-JOURNAL OF FRONTIER STUDIES
Citations (WoS) 1
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12 Journal Article

A Chinese tale of three regions: a century of China in thousands of films

Authors Zhuo Chen, Wen Ma, Wei Guo, ...
Year 2022
Journal Name HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
Citations (WoS) 1
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13 Journal Article

Anti-Asian Discourse in Quora: Comparison of Before and During the COVID-19 Pandemic with Machine- and Deep-Learning Approaches

Authors Sou Hyun Jang, Sangpil Youm, Yong Jeong Yi
Year 2022
Journal Name Race and Justice
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15 Journal Article

Building prediction models with grouped data: A case study on the prediction of turnover intention

Authors Shuai Yuan, Brigitte Kroon, Astrid Kramer
Year 2024
Journal Name Human Resource Management Journal
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16 Journal Article

Using the Potential of Social Media in Profiling and Attributing Precarious Employment of Socio-Demographic Groups in Russia

Authors Igor Shichkin
Year 2022
Journal Name Living Standards of the Population in the Regions of Russia
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17 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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19 Journal Article

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

Description
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.
Year 2018
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20 Project

Teaching Tale Types to a Computer: A First Experiment with the Annotated Folktales Collection

Authors Johan Eklund, Josh Hagedorn, Sandor Daranyi
Year 2023
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21 Journal Article

Contrapuntal Connectedness: Analysing Relations Between Social Media Data and Ethnography in Digital Migration Studies

Authors Marie Sandberg, Nina Grønlykke Mollerup, Luca Rossi
Year 2022
Book Title Research Methodologies and Ethical Challenges in Digital Migration Studies
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22 Book Chapter

Big Data and Human Geography

Authors Francisco Rowe
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23 Journal Article

Ethical considerations in social media analytics in the context of migration: lessons learned from a Horizon 2020 project

Authors Jamie Mahoney, Kahina Le Louvier, Shaun Lawson, ...
Year 2022
Journal Name RESEARCH ETHICS
Citations (WoS) 12
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25 Journal Article

Using “Big Data” to forecast migration

Authors J. Tjaden, A. Arau, M. Nuermaimaiti, ...
Year 2021
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26 Report

Embedding Big Data in Graph Convolutional Networks

Authors Gerasimos Palaiopanos, Panagiotis Stalidis, Nicholas Vretos, ...
Year 2019
Journal Name 2019 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)
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27 Journal Article

Academic mobility from a big data perspective

Authors Laura Pollacci, Letizia Milli, Tuba Bircan, ...
Year 2023
Journal Name International Journal of Data Science and Analytics
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28 Journal Article

Measuring Labour Mobility and Migration Using Big Data.

Authors C. Gendronneau, A. Wisniowski, D. Yildiz, ...
Year 2019
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29 Report

Big Data for the Prediction of Forced Displacement

Authors Geraldine Henningsen
Year 2023
Journal Name International Migration Review
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30 Journal Article

Big Data in Migration Research: The Ethical Considerations

Authors Sedef Turper
Year 2023
Journal Name Istanbul Bilgi University
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31 Journal Article

How ethics combine with big data: a bibliometric analysis

Authors Marta Kuc-Czarnecka, Magdalena Olczyk
Year 2020
Citations (WoS) 10
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32 Journal Article

Can big data deliver its promises in migration research?

Authors Albert Ali Salah
Year 2022
Journal Name International Migration
Citations (WoS) 5
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33 Journal Article

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

Authors Bruno Lepri, Fabrizio Antonelli, Fabio Pianesi, ...
Year 2015
Journal Name EPJ Data Science, 2019, Vol. 8, No. 26, OnlineOnly
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34 Journal Article

Public Involvement and Engagement in Big Data Research: Scoping Review

Authors Piotr Teodorowski, Elisa Jones, Naheed Tahir, ...
Year 2024
Journal Name Journal of Participatory Medicine
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35 Journal Article

Public Involvement and Engagement in Big Data Research: Scoping Review (Preprint)

Authors Piotr Teodorowski, Elisa Jones, Naheed Tahir, ...
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36 Journal Article

Big data for whose sake? Governing migration through artificial intelligence

Authors Tuba Bircan, Emre Eren Korkmaz
Year 2021
Journal Name HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
Citations (WoS) 14
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37 Journal Article

Big data for official migration statistics: Evidence from 29 national statistical institutions

Authors Ahmad Wali Ahmad Yar, Ahmad Wali Ahmad Yar, Tuba Bircan, ...
Year 2023
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38 Journal Article

Key opportunities and challenges for the use of big data in migration research and policy

Authors Lydia H. V. Franklinos, Rebecca Parrish, Rachel Burns, ...
Year 2021
Journal Name UCL Open Environment
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39 Journal Article

Technology, Megatrends and Work: Thoughts on the Future of Business Ethics

Authors Premilla D'Cruz, Shuili Du, Ernesto Noronha, ...
Year 2022
Journal Name JOURNAL OF BUSINESS ETHICS
Citations (WoS) 22
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40 Journal Article

Environmental change and human mobility: Opportunities and challenges of big data

Authors Susan F. Martin, Lisa Singh
Year 2022
Journal Name International Migration
Citations (WoS) 2
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41 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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42 Journal Article

AI, big data, and quest for truth: the role of theoretical insight

Authors Tuba Bircan
Year 2024
Journal Name Data & Policy
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43 Journal Article

Understanding neighborhood isolation through spatial interaction network analysis using location big data

Authors Timothy Prestby, Joseph App, Yuhao Kang, ...
Year 2019
Journal Name Environment and Planning A: Economy and Space
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44 Journal Article

The Boys in Blue Are Watching You: The Shifting Metropolitan Landscape and Big Data Police Surveillance in the United States

Authors Scott W Duxbury, Nafeesa Andrabi
Year 2022
Journal Name Social Problems
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45 Journal Article

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

Authors Rashawn Ray, Melissa Brown, Wendy Laybourn
Year 2017
Journal Name Ethnic and Racial Studies
Citations (WoS) 3
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46 Journal Article

Big data at work: Age and labor productivity in the service sector

Authors Axel Börsch-Supan, Christian Hunkler, Matthias Weiss
Year 2021
Journal Name The Journal of the Economics of Ageing
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47 Journal Article

A Bibliometric Analysis of the Use of Artificial Intelligence Technologies for Social Sciences

Authors Tuba Bircan, Almila Alkim Akdag Salah
Year 2022
Journal Name Mathematics
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48 Journal Article

EURASIAN LATIN ARCHIVE

Authors Emmanuela Carbe
Year 2020
Journal Name Immigrant Youth and Employment: Lessons Learned from the Analysis of LSIC and 82 Lived Stories
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49 Journal Article

Applying of smart, robotic systems and big data processing in agro-industrial complex

Authors E V Matvienko, A L Zolkin, D K Suchkov, ...
Year 2022
Journal Name IOP Conference Series: Earth and Environmental Science
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50 Journal Article

An Analysis of Global News Coverage of Refugees Using a Big Data Approach

Authors Veysel Yesilbas, Jose J. Padilla, Erika Frydenlund
Year 2021
Book Title Social, Cultural, and Behavioral Modeling
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51 Book Chapter

Population mobility, urban centrality and subnetworks in China revealed by social sensing big data

Authors Hongwei Guo, Ji Han, Jian Wang
Year 2021
Journal Name Environment and Planning A: Economy and Space
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52 Journal Article

Indian diaspora population and space: national register, UN Global Migration Database and Big Data

Authors Nachatter Singh Garha, Andreu Domingo
Year 2019
Journal Name Diaspora Studies
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53 Journal Article

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

Authors Eszter Hargittai
Year 2015
Journal Name The ANNALS of the American Academy of Political and Social Science
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55 Journal Article

Holding out the promise of Lasswell's dream: Big data analytics in public policy research and teaching

Authors Ola G. El‐Taliawi, Nihit Goyal, Michael Howlett
Year 2021
Journal Name Review of Policy Research
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56 Journal Article

Epidemic versus economic performances of the COVID-19 lockdown: A big data driven analysis

Authors Haoran Zhang, Peiran Li, Zhiwen Zhang, ...
Year 2022
Journal Name Cities
Citations (WoS) 21
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57 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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58 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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59 Journal Article

Spatial Interaction Modelling: A Manifesto

Authors Francisco Rowe, Robin Lovelace, Adam Dennett
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60 Journal Article

Using spatial big data to analyse neighbourhood effects on immigrant inclusion and well-being

Authors Chan-Hoong Leong, Chan-Hoong Leong, Angelica Ting Yi Ang, ...
Year 2024
Journal Name International Journal of Intercultural Relations
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61 Journal Article

QuantCrit: education, policy, ‘Big Data’ and principles for a critical race theory of statistics

Authors David Gillborn, Paul Warmington, Sean Demack
Year 2017
Journal Name Race Ethnicity and Education
Citations (WoS) 12
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62 Journal Article

Caring for (Big) Data: An Introduction to Research Methodologies and Ethical Challenges in Digital Migration Studies

Authors Marie Sandberg, Luca Rossi
Year 2022
Book Title Research Methodologies and Ethical Challenges in Digital Migration Studies
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63 Book Chapter

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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65 Journal Article

Spatial patterns and trends of inter-city population mobility in China—Based on Baidu migration big data

Authors Yangtianzheng Zhao, Zhao Yangtianzheng, Gao Ying, ...
Year 2024
Journal Name Cities
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66 Journal Article

The impact of ethnicity on chronic hepatitis B infection course and outcome: big data analysis from Israel

Authors Fadi Abu Baker, Ziv Ben Ari, Ilan Green, ...
Year 2022
Journal Name Ethnicity & Health
Citations (WoS) 2
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67 Journal Article

Strategically planning the shift to a Gulf knowledge society: The role of big data and mass education

Authors Alexander W. Wiseman
Year 2014
Book Title International Perspectives on Education and Society
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68 Book Chapter

Critical computational social science

Authors Sarah Shugars
Year 2024
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69 Journal Article

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

Description
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.
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70 Project

Google, data voids, and the dynamics of the politics of exclusion

Authors Ov C. Norocel, Dirk Lewandowski
Year 2023
Citations (WoS) 4
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71 Journal Article

Personalized routing for multitudes in smart cities

Authors Manlio De Domenico, Antonio Lima, Marta C. Gonzalez, ...
Year 2015
Journal Name EPJ Data Science, 2019, Vol. 8, No. 26, OnlineOnly
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72 Journal Article

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

Description
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.
Year 2017
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73 Project

Why are Chinese and North American guests satisfied or dissatisfied with hotels? An application of big data analysis

Authors Shun Ying, Jin Hooi Chan, Xiaoguang Qi
Year 2020
Journal Name INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT
Citations (WoS) 37
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74 Journal Article

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

Description
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.
Year 2016
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75 Project

World Heritage Site inscription and city tourism attractiveness on national holidays: new evidence with migration big data from China

Authors Yanyan Gao, Mengyun Fang, Yongqing Nan, ...
Year 2022
Citations (WoS) 12
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76 Journal Article

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

Description
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.
Year 2018
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77 Project

Who are the gig workers? Evidence from mapping the residential locations of ride-hailing drivers by a big data approach

Authors Si Qiao, Guan Huang, Anthony Gar -On Yeh
Year 2023
Journal Name Cities
Citations (WoS) 10
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78 Journal Article

The Changing Space of Families: A Genealogical Approach

Authors Alice Bee Kasakoff
Year 2019
Journal Name Social Science History
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80 Journal Article

Visualizing the largest annual human migration during the Spring Festival travel season in China

Authors Maogui Hu
Year 2019
Journal Name Environment and Planning A: Economy and Space
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81 Journal Article

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

Principal investigator Olle Järv ()
Description
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.
Year 2016
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83 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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85 Journal Article

Migration Research in a Digitized World

Authors Steffen Pötzschke, Sebastian Rinken
Year 2022
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86 Book

Co-designing algorithms for governance: Ensuring responsible and accountable algorithmic management of refugee camp supplies

Authors Rianne Dekker, Paul Koot, S. Ilker Birbil, ...
Year 2022
Citations (WoS) 6
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87 Journal Article

Situating questions of data, power, and racial formation

Authors Renee Shelby, Kathryn Henne
Year 2022
Citations (WoS) 2
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88 Journal Article

Effects of ambient population with different income levels on the spatio-temporal pattern of theft: A study based on mobile phone big data

Authors Guangwen Song, Guangwen Song, Liang Cai, ...
Year 2023
Journal Name Cities
Citations (WoS) 4
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90 Journal Article

Mobile Positioning Data as a Source for Aggregated Human Mobility Statistics

Description
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.
Year 2015
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91 Project

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

Description
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.
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Description
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