Data Science for Migration and Mobility
Will be published approx. on 10. November 2022
Book
Hardback
474 pages
978-0-19-726710-3 (ISBN)
Description
Migration is a complex phenomenon with multi-dimensional factors. With ever-expanding data storage and processing capabilities, new data sources (such as social media, mobile call data records, and satellite imaging) are becoming available to study migration from both qualitative and quantitative perspectives. Data Science for Migration and Mobility addresses the needs of both migration scholars who stand to benefit from the analysis of these new sources but lack the computational tools, as well as data scientists who have practical and theoretical knowledge in dealing with these data sources but have no familiarity with the relevant questions of migration research. It describes the main conceptual frameworks, explains techniques of data collection and processing, provides case studies, discusses the strengths and limitations of each data source, and critically discusses the ethical, legal, and privacy-related issues specific to each data source.
Reviews / Votes
i>>?Considering our constantly changing world, in which migration and human mobility are diversifying globally, and in which new scientific advances can offer new ways to research them, this book clearly has the capacity to become an essential reference both for novel and for senior researchers. * David Blanco-Herrero, International Migration * This very specific book is for a very specific audience that will find great utility in its contents...Recommended. Graduate students, faculty, and professionals. * Choice *More details
Series
Language
English
Place of publication
Oxford
United Kingdom
Target group
College/higher education
Illustrations
105 figures
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 30 mm
Weight
866 gr
ISBN-13
978-0-19-726710-3 (9780197267103)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Albert Ali Salah is Professor of Affective and Social Computing at Utrecht University, Department of Information and Computing Sciences, and Adjunct Professor at Bo?azici University, Department of Computer Engineering. He has held research positions at Centrum Wiskunde & Informatica (CWI), University of Amsterdam, and Nagoya University before. His work focuses on computer analysis of human behaviour. He was the scientific coordinator of the Data for Refugees Challenge, and leads a work package in the HumMingBird EU project. He is a senior member of IEEE and ACM, and a research affiliate of Datapop Alliance.
Emre Eren Korkmaz is a Departmental Lecturer in Migration and Development at the University of Oxford's Department of International Development, where he teaches on the MSc in Migration Studies. From October 2016 to September 2018, he was a British Academy Newton International Fellow at ODID. He was also a junior research fellow at St Edmund Hall (2017-20) and a Research Associate at the Centre for Technology and Global Affairs of the Department of Politics and International Relations (2018-20). In recent years, he has been driven by a passion for examining the social and political impact of new digital and frontier technologies on migration.
Tuba Bircan is an assistant professor at the Department of Sociology and the research coordinator of Interface Demography at the Vrije Universiteit Brussel. She currently the scientific coordinator of the Enhanced Migration Measures from a Multidimensional Perspective (HumMingBird), funded by European Commission Horizon 2020. Her major research interests are migration, gender, equal opportunities, evidence-based policymaking, quantitative and mixed methods, Big Data and AI applications for social research. She has served as an external expert and reviewer for several international funding institutes and as a reviewer for many international journals.
Emre Eren Korkmaz is a Departmental Lecturer in Migration and Development at the University of Oxford's Department of International Development, where he teaches on the MSc in Migration Studies. From October 2016 to September 2018, he was a British Academy Newton International Fellow at ODID. He was also a junior research fellow at St Edmund Hall (2017-20) and a Research Associate at the Centre for Technology and Global Affairs of the Department of Politics and International Relations (2018-20). In recent years, he has been driven by a passion for examining the social and political impact of new digital and frontier technologies on migration.
Tuba Bircan is an assistant professor at the Department of Sociology and the research coordinator of Interface Demography at the Vrije Universiteit Brussel. She currently the scientific coordinator of the Enhanced Migration Measures from a Multidimensional Perspective (HumMingBird), funded by European Commission Horizon 2020. Her major research interests are migration, gender, equal opportunities, evidence-based policymaking, quantitative and mixed methods, Big Data and AI applications for social research. She has served as an external expert and reviewer for several international funding institutes and as a reviewer for many international journals.
Content
Part 1 - Introduction
1: ALBERT ALI SALA, TUBA BIRCAN, EMRE EREN KORKMAZ: New data sources and computational approaches on migration and human mobility
2: ALBERT ALI SALAH, CANSU CANCA, BARIS ERMAN
: Ethical and legal concerns on data science for large scale human mobility
Part 2 - Data Sources
3: DIMITRA KONDYLI, RON DEKKER, IVANA ILIJASIC VERSIC: CESSDA Data Catalogue: opportunities and challenges to explore mobility and migration
4: MASSIMILIANO LUCA, GIANNI BARLACCHI, NURIA OLIVER, BRUNO LEPRI: Leveraging mobile phone data for migration flows
5: HARALD STERLY, LARS WIRKUS: Analysing refugees' secondary mobility using mobile phone Call Detail Records (CDR)
6: TUBA BIRCAN: Remote sensing data for migration research
7: CAROLINA COIMBRA VIERA, MASOOMALI FATEHKIA, KIRAN GARIMELLA, INGMAR WEBER, EMILIO ZAGHENI: Using Facebook and LinkedIn data to study international mobility
8: JISU KIM, LAURA POLLACCI, GIULIO ROSSETTI, ALINA SIRBU, FOSCA GIANNOTTI, DINO PEDRESCHI: Twitter data for migration studies
9: GIACOMO SOLANO: Indicators and survey data to understand migration and integration policy frameworks and trends in the EU
10: MERT GUERKAN, BURCIN BOZKAYA, SELIM BALCiSOY
: Financial datasets: Leveraging transactional big data in mobility and migration studies
Part 3 - Visualisation
11: ALEXANDRU TELEA, MICHAEL BEHRISCH: Visual exploration of large multidimensional trajectory data
12: ISABELLA LOAIZA, GERMAN SANCHEZ, SERENA CHAN, FELIPE MONTES, JIMENEZ, MOHSEN BAHRAMI, ALEX PENTLAND
: Voyage Viewer: a multivariate visualisation tool for migration analysis
Part 4 - Case Studies and Applications
13: TUandGBA BOZCAGA, ASLI CANSUNAR: Combining mobile call data and satellite imaging for human mobility
14: CARLOS ARCILA-CALDERON, JAVIER J. AMORES, MIKOLAJ STANEK: Predicting support for refugees in Europe: using machine learning and synthetic populations to predict support for acceptance of asylum seekers in European regions
15: A. SEZA DOandGRUOEZ: Issues about analysing multilingual communication in immigrant contexts
16: WILLIAM L. ALLEN: Applying computational linguistic and text analysis to media content about migration: opportunities and challenges for social scientific domains
17: AMANDA ALENCAR, MARIE GODIN: Exploring digital connectivities in forced migration contexts: digital 'making do' practises
18: H. AKIN UNVER, AHMET KURNAZ
: Conflict and forced migration: Social media as event data
Part 5 - A Final Word
19: EMRE EREN KORKMAZ
: Eight theses on migration studies and big data
Glossary
References
Index
1: ALBERT ALI SALA, TUBA BIRCAN, EMRE EREN KORKMAZ: New data sources and computational approaches on migration and human mobility
2: ALBERT ALI SALAH, CANSU CANCA, BARIS ERMAN
: Ethical and legal concerns on data science for large scale human mobility
Part 2 - Data Sources
3: DIMITRA KONDYLI, RON DEKKER, IVANA ILIJASIC VERSIC: CESSDA Data Catalogue: opportunities and challenges to explore mobility and migration
4: MASSIMILIANO LUCA, GIANNI BARLACCHI, NURIA OLIVER, BRUNO LEPRI: Leveraging mobile phone data for migration flows
5: HARALD STERLY, LARS WIRKUS: Analysing refugees' secondary mobility using mobile phone Call Detail Records (CDR)
6: TUBA BIRCAN: Remote sensing data for migration research
7: CAROLINA COIMBRA VIERA, MASOOMALI FATEHKIA, KIRAN GARIMELLA, INGMAR WEBER, EMILIO ZAGHENI: Using Facebook and LinkedIn data to study international mobility
8: JISU KIM, LAURA POLLACCI, GIULIO ROSSETTI, ALINA SIRBU, FOSCA GIANNOTTI, DINO PEDRESCHI: Twitter data for migration studies
9: GIACOMO SOLANO: Indicators and survey data to understand migration and integration policy frameworks and trends in the EU
10: MERT GUERKAN, BURCIN BOZKAYA, SELIM BALCiSOY
: Financial datasets: Leveraging transactional big data in mobility and migration studies
Part 3 - Visualisation
11: ALEXANDRU TELEA, MICHAEL BEHRISCH: Visual exploration of large multidimensional trajectory data
12: ISABELLA LOAIZA, GERMAN SANCHEZ, SERENA CHAN, FELIPE MONTES, JIMENEZ, MOHSEN BAHRAMI, ALEX PENTLAND
: Voyage Viewer: a multivariate visualisation tool for migration analysis
Part 4 - Case Studies and Applications
13: TUandGBA BOZCAGA, ASLI CANSUNAR: Combining mobile call data and satellite imaging for human mobility
14: CARLOS ARCILA-CALDERON, JAVIER J. AMORES, MIKOLAJ STANEK: Predicting support for refugees in Europe: using machine learning and synthetic populations to predict support for acceptance of asylum seekers in European regions
15: A. SEZA DOandGRUOEZ: Issues about analysing multilingual communication in immigrant contexts
16: WILLIAM L. ALLEN: Applying computational linguistic and text analysis to media content about migration: opportunities and challenges for social scientific domains
17: AMANDA ALENCAR, MARIE GODIN: Exploring digital connectivities in forced migration contexts: digital 'making do' practises
18: H. AKIN UNVER, AHMET KURNAZ
: Conflict and forced migration: Social media as event data
Part 5 - A Final Word
19: EMRE EREN KORKMAZ
: Eight theses on migration studies and big data
Glossary
References
Index