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Data Science for Migration and Mobility provides an interdisciplinary introduction to the usage of new data sources in migration and mobility research, including mobile phone records, social media content, satellite images, event and financial databases.
List of contents
- 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, BARI¿ 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 SÎRBU, 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 GÜRKAN, BURÇIN BOZKAYA, SELIM BALC¿SOY
: 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, GERMÁN SÁNCHEZ, SERENA CHAN, FELIPE MONTES, JIMÉNEZ, 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-CALDERÓN, 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 DOandGRUÖZ: 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
About the author
Albert Ali Salah is Professor of Affective and Social Computing at Utrecht University, Department of Information and Computing Sciences, and Adjunct Professor at Bo?aziçi 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.
Summary
Data Science for Migration and Mobility provides an interdisciplinary introduction to the usage of new data sources in migration and mobility research, including mobile phone records, social media content, satellite images, event and financial databases.
Additional text
This very specific book is for a very specific audience that will find great utility in its contents...Recommended. Graduate students, faculty, and professionals.
