Project output — Hummingbird (2024)

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Deliverables

Ernsthenrich, J., Göler, D. & Heckmann, F. (eds.)(2023).Country reports on the migration experiences of settled migrants. Country reports on Germany, Spain, Switzerland, Italy, Belgium and Sweden (Deliverable 9.2b).
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Dietz, D. (2023).Field reports on migrants en route. Field reports on Rome, Madrid, Istanbul, Bihac, Belgrade, and Calais (Deliverable 9.2a).
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Poya, F. (2023).Journey of resilience. Migrant women’s experiences in transit, refugee camps/centres, and host countries of Spain, Italy, Belgium, France and Germany (Deliverable 9.1)
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Pollacci, L., Rossetti, G., & Sîrbu, A. (2023).Analysis of migration patterns using indicators extracted from air passenger data(Deliverable 7.5)
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Sîrbu, A., Pollacci, L., De Coninck, D., Mertens S., & d’Haenens, L. (2023).Data sets including air traffic indicators; indicators on media reflections; public opinion survey(Deliverable 7.4)
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Aydogdu, B., Yar, A.W., Bircan, T., & Salah, A.A. (2023).White paper on policy implications of using mobile phone data for migration. Open research data pilot(Deliverable 6.5)
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Aydogdu, B. (2022).Meeting minutes of the expert workshop(Deliverable 6.4)
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Pollacci, L., Sîrbu, A., Magos, P.M., & Rossetti, G. (2022).Report on the developed indicators for brain drain (part 2) (Deliverable 5.4)
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Surkyn, J., Ahmad Yar, A.W, Ceylan, D., Vanthomme, K., & Bircan, T. (2022).An analysis of mortality rates to estimate undocumented migrants in Belgium(Deliverable 7.2)
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Solano, G., Yilmaz, S., & Huddleston T. (2022).The link between migration policies and migration and migrant integration dynamics. An overview of the existing literature(Deliverable 8.1)
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De Coninck, D., Mertens, S., & d’Haenens, L. (2022).Cross-country comparisons of the media impact on anti-immigrant attitudes(Deliverable 7.3)
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Aydogdu, B., Gurbuz, B., &Salah, A.A. (2022).OPAL system setting and query development(Deliverable 6.2)
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Policy briefs

03/2024Hummingbird's policy event: A Glimpse into migration dynamics and policy recommendations.

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05/2022Do migration policies work? Exploring the role of migration policies on migration and migrant integration dynamics
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Poya, F. (2022).Undocumented migrant women in Europe in the post-COVID period: cases of Ireland, Malta and Poland and EU-wide implications, Briefing paper ENoMW.

05/2022Do migration policies work? Exploring the role of migration policies on migration and migrant integration dynamics
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03/2021Finding the gap. Addressing the international migration data gaps
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Scientific publications

Pollacci, L., Milli, L., Bircan, T., &· Rossetti, G. (2023). Academic mobility from a big data perspective.International Journal of Data Science and Analytics

Ahmad Yar A. W., & Bircan, T. (2023). Challenges with international migration data: An analysis of the experience of National Statistical Institutions.International Migration Review

De Coninck, D., Van Assche, J., & d'Haenens, L. (2023). A Media authoritarianism and the migrant threat perception.The Academic.

De Coninck, D., & Solano, G. (2023). Integration policies and migrants' labour market outcomes: A local perspective based on different regional configurations in the EU. Comparative Migration Studies, 11(23). doi: 10.1186/s40878-023-00347-y.

Bircan, T., Akdag Salah, A. A., & Qi, H. (2023). A bibliometric analysis of computational social science in Turkish academia. In 2023 31st Signal Processing and Communications Applications Conference (SIU) (pp. 445-454).IEEE.

Aydoğdu, B., Samad, H., Bai, S., Abboud, S., Gorantis, I., & Salah A. A. (2023). Analyzing international airtime top-up transfers for migration and mobility. International Journal of Data Science and Analytics.

Aydoğdu, B., Mikulin, M., Balcik, C., Güneş, S., & Salah, A. A. (2023). Activity space approach to migrant segregation in Istanbul. ProceedingsSocInfo, Glasgow, 2022.

Aydogdu, B., Natarajan, D., Güneş, S., & Salah A. A. (2023). Fine-grained mapping of migrants in Istanbul using satellite imaging and mobile phone data(in Turkish). IEEE 31st Signal Processing and Communications Applications Conference (SIU), Istanbul.

Aydoğdu, B., Mikulin, M., Balcik, C., Güneş, S., & Salah, A. A. (2023).Individual level drivers of seasonal agricultural mobility in Turkey. ProceedingsNETMOB, Madrid, 2023.

Purkayastha, D., Bircan, T., Yar, A. W. A., & Ceylan, D. (2023). Irregular migration is skilled migration: reimagining skill in EU’s migration policies. Humanities and Social Sciences Communications, 10(417).

Solano, G., Schmid, S. D., & Helbling, M. (2023). Extending migrants’ rights but limiting long-term settlement. Migrant integration policy trends in EU and OECD countries between 2010 and 2019. International Migration Review, 0(0).

Qi, H., & Bircan, T. (2023, April 13).Modelling and predicting forced migration. PLOS ONE.

Goglia, D., Pollacci, L., & Sîrbu, A. (2022).Dataset of multi-aspect integrated migration indicators.Department of Computer Science, University of Pisa.

Salah, A.A., Korkmaz, E.E., & Bircan, T.(eds.) (2022).Data Science for Migration and Mobility, Proc. British Academy, Oxford University Press.

Bircan, T., Salah, A.A., & Sîrbu,A. (2022). How can big data analytics help understanding migrant integration?In M. Rango (ed),Harnessing data innovation for migration policy: A handbook for practitioners (pp. 92-103). International Organization for Migration.

Salah, A.A., Canca, C., & Erman, B. (2022).Ethical and Legal Concerns on Data Science for Large Scale Human Mobility.In A.A. Salah et al. (eds.). Data Science for Migration and Mobility, Proc. British Academy, Oxford University Press.

Salah, A.A., Bircan, T., & Korkmaz, E.E. (2022).New data sources and computational approaches on migration and human mobility.In A.A. Salah et al. (eds.). Data Science for Migration and Mobility, Proc. British Academy, Oxford University Press.

Aydoğdu, B., & Salah, A.A. (2022).'Machine Learning for Urban Computing',in S. Carta (ed.).Machine Learning, Artificial Intelligence and Urban Assemblages: Applications in architecture and urban design, Wiley.

Kondyli, D., & Dekker, R. (2022).I.I. Versic, 'CESSDA Data Catalogue: opportunities and challenges to explore mobility and migration',in A.A. Salah et al. (eds.). Data Science for Migration and Mobility, Proc. British Academy, Oxford University Press.

Bircan, T. (2022).'Remote sensing data for migration research',in A.A. Salah et al. (eds.). Data Science for Migration and Mobility, Proc. British Academy, Oxford University Press.

Kim, J., Pollacci, L.,Rossetti, G., Sirbu, A., Gianotti, F., & Pedreschi, D. (2022).'Twitter data for migration studies',in A.A. Salah et al. (eds.). Data Science for Migration and Mobility, Proc. British Academy, Oxford University Press.

Bircan, T., & Yilmaz, S. (2022).A critique of gender-blind migration theories and data sources.International Organization for Migration 00, 1-16.
https://onlinelibrary.wiley.com/doi/10.1111/imig.13088

Bircan, T., & Alkim Akdag Salah, A. (2022). A bibliometric analysis of the use of artificial intelligence. Technologies for social sciences Mathematics, 10(4398), 1-17.https://www.mdpi.com/2227-7390/10/23/4398

Solano, G., & De Coninck, D. (2022). Explaining migrant integration policies: A comparative study across 56 countries. Migration Studies, 00(0), 1-28.https://doi.org/10.1093/migration/mnac032

Aydoğdu, B., Aktel, B., Salah, A.A., & Bircan T. (2022). Temporal and spatial analysis of indicators on segregation of Syrian refugees in Turkey with mobile phone data. IEEE 30th Signal Processing and Communications Applications Conference (SIU), Safranbolu.

Arcila-Calderón, C., Sánchez-Holgado, P., Quintana-Moreno, C., Amores, J., & Blanco-Herrero, D. (2022). Hate speech and social acceptance of migrants in Europe: Analysis of tweets with geolocation. [Discurso de odio y aceptación social hacia migrantes en Europa: Análisis de tuits con geolocalización]. Comunicar, 71. https://doi.org/10.3916/C71-2022-02.

Salah, A.A (2021). Mobile data challenges for human mobility analysis and humanitarian response. In M. McAuliffe (ed.),Research handbook on international migration and digital technology(pp. 107-122). Cheltenham: Edward Elgar Publishing.

Ahmad-Yar, A.W. & Bircan, T. (2021).Anatomy of a misfit: International migration statistics. Sustainability 2021, 13(7): 4032. https://doi.org/10.3390/su13074032.

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Press releases

A supercomputer collects xenophobic tweets from all Europe and shows how Twitter reflects public opinion about immigration.

Thestudy, funded by the European Union and published in the prestigious journal Comunicar, using computational techniques to analyse almost 850,000 tweets from all Europe between 2015 and 2020, comparing them to data from the Eurobarometer.

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