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Guide to Mobile Data Analytics in Refugee Scenarios

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Cover of 'Guide to Mobile Data Analytics in Refugee Scenarios'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to the Data for Refugees Challenge on Mobility of Syrian Refugees in Turkey
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    Chapter 2 Call Detail Records to Obtain Estimates of Forcibly Displaced Populations
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    Chapter 3 Mobile Phone Data for Children on the Move: Challenges and Opportunities
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    Chapter 4 Coding Boot Camps for Refugees
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    Chapter 5 “Do No Harm” in the Age of Big Data: Data, Ethics, and the Refugees
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    Chapter 6 Pioneering Predictive Analytics for Decision-Making in Forced Displacement Contexts
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    Chapter 7 Measuring Fine-Grained Multidimensional Integration Using Mobile Phone Metadata: The Case of Syrian Refugees in Turkey
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    Chapter 8 Towards an Understanding of Refugee Segregation, Isolation, Homophily and Ultimately Integration in Turkey Using Call Detail Records
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    Chapter 9 Using Call Data and Stigmergic Similarity to Assess the Integration of Syrian Refugees in Turkey
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    Chapter 10 Integration of Syrian Refugees: Insights from D4R, Media Events and Housing Market Data
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    Chapter 11 Quantified Understanding of Syrian Refugee Integration in Turkey
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    Chapter 12 Syrian Refugee Integration in Turkey: Evidence from Call Detail Records
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    Chapter 13 Assessing Refugees’ Onward Mobility with Mobile Phone Data—A Case Study of (Syrian) Refugees in Turkey
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    Chapter 14 Segregation and Sentiment: Estimating Refugee Segregation and Its Effects Using Digital Trace Data
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    Chapter 15 Measuring and Mitigating Behavioural Segregation as an Optimisation Problem: The Case of Syrian Refugees in Turkey
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    Chapter 16 Seasonal Labor Migration Among Syrian Refugees and Urban Deep Map for Integration in Turkey
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    Chapter 17 Refugees in Undeclared Employment—A Case Study in Turkey
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    Chapter 18 The Use of Big Mobile Data to Gain Multilayered Insights for Syrian Refugee Crisis
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    Chapter 19 Improve Education Opportunities for Better Integration of Syrian Refugees in Turkey
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    Chapter 20 Optimizing the Access to Healthcare Services in Dense Refugee Hosting Urban Areas: A Case for Istanbul
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    Chapter 21 Characterizing the Mobile Phone Use Patterns of Refugee-Hosting Provinces in Turkey
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    Chapter 22 Refugee Mobility: Evidence from Phone Data in Turkey
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    Chapter 23 Leveraging Open Algorithms (OPAL) for the Safe, Ethical, and Scalable Use of Private Sector Data in Crisis Contexts
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    Chapter 24 The Potential and Practice of Data Collaboratives for Migration
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    Chapter 25 Policy Implications of the D4R Challenge
Attention for Chapter 25: Policy Implications of the D4R Challenge
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Chapter title
Policy Implications of the D4R Challenge
Chapter number 25
Book title
Guide to Mobile Data Analytics in Refugee Scenarios
Published by
Springer, Cham, September 2019
DOI 10.1007/978-3-030-12554-7_25
Book ISBNs
978-3-03-012553-0, 978-3-03-012554-7
Authors

Albert Ali Salah, M. Tarık Altuncu, Selim Balcisoy, Erika Frydenlund, Marco Mamei, Mehmet Ali Akyol, Kerem Yavuz Arslanlı, Ivon Bensason, Christine Boshuijzen-van Burken, Paolo Bosetti, Jeremy Boy, Tugba Bozcaga, Seyit Mümin Cilasun, Oğuz Işık, Sibel Kalaycıoğlu, Ayse Seyyide Kaptaner, Ilker Kayi, Özgün Ozan Kılıç, Berat Kjamili, Huseyin Kucukali, Aaron Martin, Marco Lippi, Francesca Pancotto, Daniel Rhoads, Nur Sevencan, Ervin Sezgin, Albert Solé-Ribalta, Harald Sterly, Elif Surer, Tuğba Taşkaya Temizel, Semih Tümen, Ismail Uluturk

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Medicine and Dentistry 1 50%
Unknown 1 50%