Guide To Mobile Data Analytics In Refugee Scenarios eBook Download PDF

Download Guide To Mobile Data Analytics In Refugee Scenarios full books in PDF, epub, and Kindle. Read online Guide To Mobile Data Analytics In Refugee Scenarios ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Guide to Mobile Data Analytics in Refugee Scenarios

Author: Albert Ali Salah

Publisher: Springer Nature

Published: 2019-09-06

Total Pages: 500

ISBN-13: 3030125548

DOWNLOAD EBOOK

After the start of the Syrian Civil War in 2011–12, increasing numbers of civilians sought refuge in neighboring countries. By May 2017, Turkey had received over 3 million refugees — the largest refugee population in the world. Some lived in government-run camps near the Syrian border, but many have moved to cities looking for work and better living conditions. They faced problems of integration, income, welfare, employment, health, education, language, social tension, and discrimination. In order to develop sound policies to solve these interlinked problems, a good understanding of refugee dynamics isnecessary. This book summarizes the most important findings of the Data for Refugees (D4R) Challenge, which was a non-profit project initiated to improve the conditions of the Syrian refugees in Turkey by providing a database for the scientific community to enable research on urgent problems concerning refugees. The database, based on anonymized mobile call detail records (CDRs) of phone calls and SMS messages of one million Turk Telekom customers, indicates the broad activity and mobility patterns of refugees and citizens in Turkey for the year 1 January to 31 December 2017. Over 100 teams from around the globe applied to take part in the challenge, and 61 teams were granted access to the data. This book describes the challenge, and presents selected and revised project reports on the five major themes: unemployment, health, education, social integration, and safety, respectively. These are complemented by additional invited chapters describing related projects from international governmental organizations, technological infrastructure, as well as ethical aspects. The last chapter includes policy recommendations, based on the lessons learned. The book will serve as a guideline for creating innovative data-centered collaborations between industry, academia, government, and non-profit humanitarian agencies to deal with complex problems in refugee scenarios. It illustrates the possibilities of big data analytics in coping with refugee crises and humanitarian responses, by showcasing innovative approaches drawing on multiple data sources, information visualization, pattern analysis, and statistical analysis.It will also provide researchers and students working with mobility data with an excellent coverage across data science, economics, sociology, urban computing, education, migration studies, and more.

Book Synopsis Guide to Mobile Data Analytics in Refugee Scenarios by : Albert Ali Salah

Download or read book Guide to Mobile Data Analytics in Refugee Scenarios written by Albert Ali Salah and published by Springer Nature. This book was released on 2019-09-06 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: After the start of the Syrian Civil War in 2011–12, increasing numbers of civilians sought refuge in neighboring countries. By May 2017, Turkey had received over 3 million refugees — the largest refugee population in the world. Some lived in government-run camps near the Syrian border, but many have moved to cities looking for work and better living conditions. They faced problems of integration, income, welfare, employment, health, education, language, social tension, and discrimination. In order to develop sound policies to solve these interlinked problems, a good understanding of refugee dynamics isnecessary. This book summarizes the most important findings of the Data for Refugees (D4R) Challenge, which was a non-profit project initiated to improve the conditions of the Syrian refugees in Turkey by providing a database for the scientific community to enable research on urgent problems concerning refugees. The database, based on anonymized mobile call detail records (CDRs) of phone calls and SMS messages of one million Turk Telekom customers, indicates the broad activity and mobility patterns of refugees and citizens in Turkey for the year 1 January to 31 December 2017. Over 100 teams from around the globe applied to take part in the challenge, and 61 teams were granted access to the data. This book describes the challenge, and presents selected and revised project reports on the five major themes: unemployment, health, education, social integration, and safety, respectively. These are complemented by additional invited chapters describing related projects from international governmental organizations, technological infrastructure, as well as ethical aspects. The last chapter includes policy recommendations, based on the lessons learned. The book will serve as a guideline for creating innovative data-centered collaborations between industry, academia, government, and non-profit humanitarian agencies to deal with complex problems in refugee scenarios. It illustrates the possibilities of big data analytics in coping with refugee crises and humanitarian responses, by showcasing innovative approaches drawing on multiple data sources, information visualization, pattern analysis, and statistical analysis.It will also provide researchers and students working with mobility data with an excellent coverage across data science, economics, sociology, urban computing, education, migration studies, and more.

Guide to Mobile Data Analytics in Refugee Scenarios

Author:

Publisher:

Published: 2019

Total Pages: 499

ISBN-13: 9783030125554

DOWNLOAD EBOOK

This book describes the challenge, and presents selected and revised project reports on the five major themes: unemployment, health, education, social integration, and safety, respectively. These are complemented by additional invited chapters describing related projects from international governmental organizations, technological infrastructure, as well as ethical aspects. The last chapter includes policy recommendations, based on the lessons learned. The book will serve as a guideline for creating innovative data-centered collaborations between industry, academia, government, and non-profit humanitarian agencies to deal with complex problems in refugee scenarios. It illustrates the possibilities of big data analytics in coping with refugee crises and humanitarian responses, by showcasing innovative approaches drawing on multiple data sources, information visualization, pattern analysis, and statistical analysis. It will also provide researchers and students working with mobility data with an excellent coverage across data science, economics, sociology, urban computing, education, migration studies, and more. --

Book Synopsis Guide to Mobile Data Analytics in Refugee Scenarios by :

Download or read book Guide to Mobile Data Analytics in Refugee Scenarios written by and published by . This book was released on 2019 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the challenge, and presents selected and revised project reports on the five major themes: unemployment, health, education, social integration, and safety, respectively. These are complemented by additional invited chapters describing related projects from international governmental organizations, technological infrastructure, as well as ethical aspects. The last chapter includes policy recommendations, based on the lessons learned. The book will serve as a guideline for creating innovative data-centered collaborations between industry, academia, government, and non-profit humanitarian agencies to deal with complex problems in refugee scenarios. It illustrates the possibilities of big data analytics in coping with refugee crises and humanitarian responses, by showcasing innovative approaches drawing on multiple data sources, information visualization, pattern analysis, and statistical analysis. It will also provide researchers and students working with mobility data with an excellent coverage across data science, economics, sociology, urban computing, education, migration studies, and more. --

Mobile Application Development: Practice and Experience

Author: Jagannath Singh

Publisher: Springer Nature

Published: 2023-01-01

Total Pages: 176

ISBN-13: 9811968934

DOWNLOAD EBOOK

The book constitutes proceedings of the 12th Industry Symposium held in conjunction with the 18th edition of the International Conference on Distributed Computing and Intelligent Technology (ICDCIT 2022). The focus of the industry symposium is on Mobile Application Development: Practice and Experience. This book focuses on software engineering research and practice supporting any aspects of mobile application development. The book discusses findings in the areas of mobile application analysis, models for generating these applications, testing, debugging & repair, localization & globalization, app review analytics, app store mining, app beyond smartphones and tablets, app deployment, maintenance, and reliability of apps, industrial case studies of automated software engineering for mobile apps, etc. Papers included in the book describe new or improved ways to handle these aspects or address them in a more unified manner, discussing benefits, limitations, and costs of provided solutions. The volume will be useful for master, research students as well as industry professionals.

Book Synopsis Mobile Application Development: Practice and Experience by : Jagannath Singh

Download or read book Mobile Application Development: Practice and Experience written by Jagannath Singh and published by Springer Nature. This book was released on 2023-01-01 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book constitutes proceedings of the 12th Industry Symposium held in conjunction with the 18th edition of the International Conference on Distributed Computing and Intelligent Technology (ICDCIT 2022). The focus of the industry symposium is on Mobile Application Development: Practice and Experience. This book focuses on software engineering research and practice supporting any aspects of mobile application development. The book discusses findings in the areas of mobile application analysis, models for generating these applications, testing, debugging & repair, localization & globalization, app review analytics, app store mining, app beyond smartphones and tablets, app deployment, maintenance, and reliability of apps, industrial case studies of automated software engineering for mobile apps, etc. Papers included in the book describe new or improved ways to handle these aspects or address them in a more unified manner, discussing benefits, limitations, and costs of provided solutions. The volume will be useful for master, research students as well as industry professionals.

Migration Research in a Digitized World

Author: Steffen Pötzschke

Publisher: Springer Nature

Published: 2022-07-11

Total Pages: 230

ISBN-13: 3031013190

DOWNLOAD EBOOK

This open access book explores implications of the digital revolution for migration scholars’ methodological toolkit. New information and communication technologies hold considerable potential to improve the quality of migration research by originating previously non-viable solutions to a myriad of methodological challenges in this field of study. Combining cutting-edge migration scholarship and methodological expertise, the book addresses a range of crucial issues related to both researcher-designed data collections and the secondary use of “big data”, highlighting opportunities as well as challenges and limitations. A valuable source for students and scholars engaged in migration research, the book will also be of keen interest to policymakers.

Book Synopsis Migration Research in a Digitized World by : Steffen Pötzschke

Download or read book Migration Research in a Digitized World written by Steffen Pötzschke and published by Springer Nature. This book was released on 2022-07-11 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book explores implications of the digital revolution for migration scholars’ methodological toolkit. New information and communication technologies hold considerable potential to improve the quality of migration research by originating previously non-viable solutions to a myriad of methodological challenges in this field of study. Combining cutting-edge migration scholarship and methodological expertise, the book addresses a range of crucial issues related to both researcher-designed data collections and the secondary use of “big data”, highlighting opportunities as well as challenges and limitations. A valuable source for students and scholars engaged in migration research, the book will also be of keen interest to policymakers.

Data Science for Social Good

Author: Massimo Lapucci

Publisher: Springer Nature

Published: 2021-10-13

Total Pages: 107

ISBN-13: 3030789853

DOWNLOAD EBOOK

This book is a collection of reflections by thought leaders at first-mover organizations in the exploding field of "Data Science for Social Good", meant as the application of knowledge from computer science, complex systems and computational social science to challenges such as humanitarian response, public health, sustainable development. The book provides both an overview of scientific approaches to social impact – identifying a social need, targeting an intervention, measuring impact – and the complementary perspective of funders and philanthropies that are pushing forward this new sector. This book will appeal to students and researchers in the rapidly growing field of data science for social impact, to data scientists at companies whose data could be used to generate more public value, and to decision makers at nonprofits, foundations, and agencies that are designing their own agenda around data.

Book Synopsis Data Science for Social Good by : Massimo Lapucci

Download or read book Data Science for Social Good written by Massimo Lapucci and published by Springer Nature. This book was released on 2021-10-13 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of reflections by thought leaders at first-mover organizations in the exploding field of "Data Science for Social Good", meant as the application of knowledge from computer science, complex systems and computational social science to challenges such as humanitarian response, public health, sustainable development. The book provides both an overview of scientific approaches to social impact – identifying a social need, targeting an intervention, measuring impact – and the complementary perspective of funders and philanthropies that are pushing forward this new sector. This book will appeal to students and researchers in the rapidly growing field of data science for social impact, to data scientists at companies whose data could be used to generate more public value, and to decision makers at nonprofits, foundations, and agencies that are designing their own agenda around data.

Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track

Author: Yuxiao Dong

Publisher: Springer Nature

Published: 2021-02-24

Total Pages: 608

ISBN-13: 3030676706

DOWNLOAD EBOOK

The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic. The 232 full papers and 10 demo papers presented in this volume were carefully reviewed and selected for inclusion in the proceedings. The volumes are organized in topical sections as follows: Part I: Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent neural networks; collaborative filtering and matrix completion. Part II: deep learning optimization and theory; active learning; adversarial learning; federated learning; Kernel methods and online learning; partial label learning; reinforcement learning; transfer and multi-task learning; Bayesian optimization and few-shot learning. Part III: Combinatorial optimization; large-scale optimization and differential privacy; boosting and ensemble methods; Bayesian methods; architecture of neural networks; graph neural networks; Gaussian processes; computer vision and image processing; natural language processing; bioinformatics. Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition; applied data science: hardware and manufacturing; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: healthcare; applied data science: e-commerce and finance; applied data science: computational social science; applied data science: sports; demo track.

Book Synopsis Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track by : Yuxiao Dong

Download or read book Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track written by Yuxiao Dong and published by Springer Nature. This book was released on 2021-02-24 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic. The 232 full papers and 10 demo papers presented in this volume were carefully reviewed and selected for inclusion in the proceedings. The volumes are organized in topical sections as follows: Part I: Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent neural networks; collaborative filtering and matrix completion. Part II: deep learning optimization and theory; active learning; adversarial learning; federated learning; Kernel methods and online learning; partial label learning; reinforcement learning; transfer and multi-task learning; Bayesian optimization and few-shot learning. Part III: Combinatorial optimization; large-scale optimization and differential privacy; boosting and ensemble methods; Bayesian methods; architecture of neural networks; graph neural networks; Gaussian processes; computer vision and image processing; natural language processing; bioinformatics. Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition; applied data science: hardware and manufacturing; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: healthcare; applied data science: e-commerce and finance; applied data science: computational social science; applied data science: sports; demo track.

China and Europe on the New Silk Road

Author: Marijk van der Wende

Publisher: Oxford University Press

Published: 2020-10-08

Total Pages: 448

ISBN-13: 0192594508

DOWNLOAD EBOOK

The global order, based on international governance and multilateral trade mechanisms in the aftermath of the Second World War, is changing rapidly and creating waves of uncertainty. This is especially true in higher education, a field increasingly built on international cooperation and the free movement of students, academics, knowledge, and ideas. Meanwhile, China has announced its plans for a "New Silk Road" (NSR) and is developing its higher education and research systems at speed. In this book an international and interdisciplinary group of scholars from Europe, China, the USA, Russia, and Australia investigate how academic mobility and cooperation is taking shape along the New Silk Road and what difference it will make, if any, in the global higher education landscape. Opening chapters present the global context for the NSR, the development of Chinese universities along international models, and the history and outcomes of EU-China cooperation. The flows and patterns in academic cooperation along the NSR as they shape and have been shaped by China's universities are then explored in more detail. The conditions for Sino-foreign cooperation are discussed next, with an analysis of regulatory frameworks for cooperation, recognition, data, and privacy. Comparative work follows on the cultural traditions and academic values, similarities, and differences between Sinic and Anglo-American political and educational cultures, and their implications for the governance and mission of higher education, the role of critical scholarship, and the state and standing of the humanities in China. The book concludes with a focus on the "Idea of a University"; the values underpinning its mission, shape, and purpose, reflecting on the implications of China's rapid higher education development for the geo-politics of higher education itself.

Book Synopsis China and Europe on the New Silk Road by : Marijk van der Wende

Download or read book China and Europe on the New Silk Road written by Marijk van der Wende and published by Oxford University Press. This book was released on 2020-10-08 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: The global order, based on international governance and multilateral trade mechanisms in the aftermath of the Second World War, is changing rapidly and creating waves of uncertainty. This is especially true in higher education, a field increasingly built on international cooperation and the free movement of students, academics, knowledge, and ideas. Meanwhile, China has announced its plans for a "New Silk Road" (NSR) and is developing its higher education and research systems at speed. In this book an international and interdisciplinary group of scholars from Europe, China, the USA, Russia, and Australia investigate how academic mobility and cooperation is taking shape along the New Silk Road and what difference it will make, if any, in the global higher education landscape. Opening chapters present the global context for the NSR, the development of Chinese universities along international models, and the history and outcomes of EU-China cooperation. The flows and patterns in academic cooperation along the NSR as they shape and have been shaped by China's universities are then explored in more detail. The conditions for Sino-foreign cooperation are discussed next, with an analysis of regulatory frameworks for cooperation, recognition, data, and privacy. Comparative work follows on the cultural traditions and academic values, similarities, and differences between Sinic and Anglo-American political and educational cultures, and their implications for the governance and mission of higher education, the role of critical scholarship, and the state and standing of the humanities in China. The book concludes with a focus on the "Idea of a University"; the values underpinning its mission, shape, and purpose, reflecting on the implications of China's rapid higher education development for the geo-politics of higher education itself.

Syrian Refugees in Turkey

Author: Alanur Çavlin

Publisher: Routledge

Published: 2020-12-27

Total Pages: 210

ISBN-13: 1000318354

DOWNLOAD EBOOK

This book examines the changing demographic situation of Syrian refugees and the host community in Turkey, one of the major refugee hosting countries in the world, relying on a recent representative dataset. Conflicts and the resulting unrest force people to flee their countries and take refuge in foreign lands. Such refugee movements across the world have increased significantly in recent times. Turkey accounts for the greatest refugee population in the world today. This has drastically impacted the Turkish demographics, leading to different demographic situations in refugee communities in the country. This book presents an in-depth research on the impact of forced displacement on the demographic behaviour of Syrian refugees in Turkey in general, and more specifically the way transformed family structures, unregistered children, fertility behaviours and early marriages impacted their lives. The book also contributes to the existing knowledge and discourse on refugee integration by shedding light on their experiences related to access to labour market opportunities and education opportunities, wellbeing and mobility. It also helps in linking demography of Syrian community to the socio-economic challenges in Turkey by means of incorporating crucial demographic variables into the analysis. Offering valuable insights into various dimensions of life, this book has an interdisciplinary appeal and will thus be a key resource for academics and scholars of demography, refugee studies, migration studies and sociology. It will also be a valuable and unique reference work for people in governments, international agencies and non-governmental organizations.

Book Synopsis Syrian Refugees in Turkey by : Alanur Çavlin

Download or read book Syrian Refugees in Turkey written by Alanur Çavlin and published by Routledge. This book was released on 2020-12-27 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the changing demographic situation of Syrian refugees and the host community in Turkey, one of the major refugee hosting countries in the world, relying on a recent representative dataset. Conflicts and the resulting unrest force people to flee their countries and take refuge in foreign lands. Such refugee movements across the world have increased significantly in recent times. Turkey accounts for the greatest refugee population in the world today. This has drastically impacted the Turkish demographics, leading to different demographic situations in refugee communities in the country. This book presents an in-depth research on the impact of forced displacement on the demographic behaviour of Syrian refugees in Turkey in general, and more specifically the way transformed family structures, unregistered children, fertility behaviours and early marriages impacted their lives. The book also contributes to the existing knowledge and discourse on refugee integration by shedding light on their experiences related to access to labour market opportunities and education opportunities, wellbeing and mobility. It also helps in linking demography of Syrian community to the socio-economic challenges in Turkey by means of incorporating crucial demographic variables into the analysis. Offering valuable insights into various dimensions of life, this book has an interdisciplinary appeal and will thus be a key resource for academics and scholars of demography, refugee studies, migration studies and sociology. It will also be a valuable and unique reference work for people in governments, international agencies and non-governmental organizations.