Computational Research in Ethnic and Migration Studies
暫譯: 族群與移民研究中的計算研究
Deutschmann, Emanuel, Drouhot, Lucas G., Zuccotti, Carolina V.
- 出版商: Routledge
- 出版日期: 2026-01-30
- 售價: $2,490
- 貴賓價: 9.5 折 $2,366
- 語言: 英文
- 頁數: 222
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032875747
- ISBN-13: 9781032875743
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相關分類:
Natural Language Processing
海外代購書籍(需單獨結帳)
相關主題
商品描述
This book showcases the potential of computational approaches for research questions at the heart of migration and integration research via a set of original, cutting-edge empirical studies by a diverse, international team of authors.
Why do people emigrate? Do weather conditions and climate change affect decisions to migrate? How do migration networks evolve on a global scale? Can we predict refugee movements? How do host communities respond to the influx of refugees? Do right-wing populist parties get stronger where lots of refugees are located? Do terror attacks lead to more hostility towards immigrants? What mechanisms explain neighborhood ethnic segregation? The collection of studies in this book harnesses the power of an emerging interdisciplinary research field known as computational social science to shed new light on such classic questions of migration and integration research. The cutting-edge empirical studies use a wide range of computational approaches, from agent-based modeling and network analysis to machine learning, natural language processing, and advanced spatial methods and cover detailed spatial, textual, and network data from both online and offline sources. The book thus demonstrates the potential of computational approaches for migration and integration research, while also discussing the challenges that arise in this emerging field.
This book will be an invaluable resource for researchers, students of sociology, ethnic and migration studies, international politics, and computational social science. It was originally published as a special issue of the Journal of Ethnic and Migration Studies.
商品描述(中文翻譯)
這本書展示了計算方法在移民與融合研究核心問題上的潛力,透過一組來自多元國際作者團隊的原創前沿實證研究。
人們為什麼會移民?天氣條件和氣候變化是否影響移民決策?全球範圍內的移民網絡是如何演變的?我們能預測難民的流動嗎?接收社區如何應對難民的湧入?在有大量難民的地方,右翼民粹主義政黨是否會變得更強大?恐怖襲擊是否會導致對移民的更多敵意?哪些機制解釋了社區的族裔隔離?這本書中的研究集結了新興的跨學科研究領域——計算社會科學的力量,為這些經典的移民與融合研究問題提供新的見解。這些前沿的實證研究使用了多種計算方法,從基於代理的建模和網絡分析到機器學習、自然語言處理和先進的空間方法,並涵蓋了來自線上和線下來源的詳細空間、文本和網絡數據。因此,這本書展示了計算方法在移民與融合研究中的潛力,同時也討論了在這一新興領域中出現的挑戰。
這本書將成為社會學、族裔與移民研究、國際政治以及計算社會科學研究者和學生的重要資源。它最初作為《民族與移民研究期刊》的特刊發表。
作者簡介
Emanuel Deutschmann is an Assistant Professor of Sociological Theory at Europa-Universität Flensburg, an Associate at the European University Institute's Migration Policy Centre, and the author of "Mapping the Transnational World: How We Move and Communicate across Borders, and Why It Matters" (2022).
Lucas G. Drouhot is an Assistant Professor of Sociology at Utrecht University (Netherlands). His core research agenda focuses on immigrant incorporation in Western liberal societies. His past work has appeared in the American Journal of Sociology, the Annual Review of Sociology, Demography, and International Migration Review among other outlets.
Carolina V. Zuccotti is a Marie Sklodowska-Curie Fellow and Visiting Professor at University Carlos III de Madrid (Spain). She specializes in migration, ethnicity, social inequality, and urban studies. Her work has been published in journals like Sociology, International Migration Review, Population, Space and Place, and Ethnic and Racial Studies.
Emilio Zagheni is Director of the Max Planck Institute for Demographic Research. He is best known for his pioneering work on using Web and social media data for studying migration processes and for his role in developing the field of Digital and Computational Demography.
作者簡介(中文翻譯)
伊曼紐爾·德意志曼是歐洲大學弗倫斯堡的社會學理論助理教授,歐洲大學研究所移民政策中心的研究員,以及《映射跨國世界:我們如何跨越邊界移動和交流,以及這為何重要》(2022)的作者。
盧卡斯·G·德魯霍特是烏特勒支大學(荷蘭)的社會學助理教授。他的核心研究議程專注於西方自由社會中的移民融入。他的過去研究成果曾發表於《美國社會學期刊》、《社會學年鑑》、《人口學》和《國際移民評論》等多個期刊。
卡羅琳娜·V·祖科蒂是馬里·斯克沃多夫斯卡-居里研究員及馬德里卡洛斯三世大學的訪問教授。她專注於移民、族裔、社會不平等和城市研究。她的研究成果已發表於《社會學》、《國際移民評論》、《人口、空間與地點》和《族裔與種族研究》等期刊。
埃米利奧·扎赫尼是馬克斯·普朗克人口研究所的所長。他以在使用網路和社交媒體數據研究移民過程方面的開創性工作而聞名,並在數位與計算人口學領域的發展中扮演了重要角色。