Assessing Refugees’ Onward Mobility with Mobile Phone Data—A Case Study of (Syrian) Refugees in Turkey

Sterly, Harald; Etzold, Benjamin; Wirkus, Lars; Sakdapolrak, Patrick; Schewe, Jacob; Schleußner, Carl-Friedrich; Hennig, Benjamin D.

doi:10.1007/978-3-030-12554-7_13

Cited by 3 publications

(3 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Besides, some ongoing projects aim to gain more understanding of refugee mobility by monitoring social media (e.g., Twitter or Instagram posts by refugees; Iacus 2017), conflict events (e.g., based on the GDELT data-https://www.gdeltproject. org-as done at EASO (2016b) or mobile phone Call Details records to better understand refugees' secondary movements, see Sterly et al 2019), or satellite imagery (e.g., Satellite Sentinel Project-http://www.satsentinel.org-or Migration Radar 2.0). Other projects look at collecting information on web searches for asylum/ migration-related topics.…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

Toward an Early Warning System for Monitoring Asylum-Related Migration Flows in Europe

Napierała

Hilton

Forster

et al. 2021

International Migration Review

View full text Add to dashboard Cite

Asylum-related migration is highly complex, uncertain, and volatile, which precludes using standard model-based predictions to inform policy and operational decisions. At the same time, asylum's potentially high societal impacts on receiving countries and the resource implications of asylum processes call for more proactive approaches for assessing current and future migration flows. In this article, we propose an alternative approach to asylum modeling, based on the detection of early warning signals by using models originating from statistical control theory. Our empirical analysis of several asylum flows into Europe in 2010–2016 demonstrates the approach's utility and potential in aiding the management of mixed migration flows, while also shedding more light on the work needed to make better use of the “big data” and scenario-based methods for comprehensive and systematic examination of risk, uncertainty, and emerging trends.

show abstract

Section: Conclusion and Recommendationsmentioning

confidence: 99%

Toward an Early Warning System for Monitoring Asylum-Related Migration Flows in Europe

Napierała

Hilton

Forster

et al. 2021

International Migration Review

View full text Add to dashboard Cite

show abstract

“…Access to Social Services-Anticipating local needs and providing incentives to refugees to work in temporary jobs that are only available in certain regions for a certain duration (an example of which is the hazelnut harvest, for which refugees were granted a 3-month temporary work permit) seems to be a good approach, but social services (such as education) need to be considered for a volatile workforce. Because the refugees show significant mobility, easy and quick changes to places of registration could improve access to social services, as well as optimization of such services [40]. Cultural factors, such as Eid festivals, were shown to be significant in refugee movements, but these related mostly to temporary mobility [18,40].…”

Section: Labormentioning

confidence: 99%

“…Because the refugees show significant mobility, easy and quick changes to places of registration could improve access to social services, as well as optimization of such services [40]. Cultural factors, such as Eid festivals, were shown to be significant in refugee movements, but these related mostly to temporary mobility [18,40]. Subsequently, they need to be factored out when investigating mobility for labor.…”

Section: Labormentioning

confidence: 99%

Policy Implications of the D4R Challenge

Salah

Altuncu

Balcısoy

et al. 2019

Guide to Mobile Data Analytics in Refugee Scenarios

View full text Add to dashboard Cite

The Data for Refugees (D4R) Challenge resulted in many insights related to the movement patterns of the Syrian refugees within Turkey. In this chapter, we summarize some of the important findings, and suggest policy recommendations for the main areas of the challenge. These recommendations are sometimes broad suggestions, as the policy interventions involve many factors that are difficult to take into account. We give examples of such issues to help policy-makers.

show abstract

Impact of Syrian Refugees on Turkish Prices

Genç

Naufal

Gahramanov

2021

Journal of Refugee Studies

View full text Add to dashboard Cite

Because of the civil war in Syria, refugees immigrated into Turkey between May 2011 and December 2012. We analyse the impact of this phenomenon on prices by searching for endogenous structural breaks. Our method differs from difference-in-differences models where an a priori explicit break date is imposed. Although immigration could lead to higher demand, thus higher prices, at least initially, in immigration regions, it results in arbitrage between regions, eliminating the initial price impact. Our findings suggest that the impact of Syrian immigration on Turkish prices is moderate and does not display a substantial difference between control and treatment regions.

show abstract

Assessing Refugees’ Onward Mobility with Mobile Phone Data—A Case Study of (Syrian) Refugees in Turkey

Cited by 3 publications

References 3 publications

Toward an Early Warning System for Monitoring Asylum-Related Migration Flows in Europe

Toward an Early Warning System for Monitoring Asylum-Related Migration Flows in Europe

Policy Implications of the D4R Challenge

Impact of Syrian Refugees on Turkish Prices

Contact Info

Product

Resources

About