Filiz Garip

ORCID: 0000-0002-6729-2728
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About
Contact & Profiles
Research Areas
  • Migration and Labor Dynamics
  • Urban, Neighborhood, and Segregation Studies
  • Migration, Ethnicity, and Economy
  • Migration, Refugees, and Integration
  • Social Capital and Networks
  • Climate Change, Adaptation, Migration
  • Computational and Text Analysis Methods
  • Fiscal Policy and Economic Growth
  • Organ Donation and Transplantation
  • Migration, Health and Trauma
  • Southeast Asian Sociopolitical Studies
  • Qualitative Comparative Analysis Research
  • Diaspora, migration, transnational identity
  • Disaster Management and Resilience
  • Canadian Policy and Governance
  • Arctic and Russian Policy Studies
  • Blood donation and transfusion practices
  • Grief, Bereavement, and Mental Health
  • Intergenerational and Educational Inequality Studies
  • Social Media and Politics
  • Employment and Welfare Studies
  • Electoral Systems and Political Participation
  • Poverty, Education, and Child Welfare
  • Vietnamese History and Culture Studies
  • Regional Economics and Spatial Analysis

Princeton University
2005-2024

Princeton Public Schools
2022

Cornell University
2019-2021

Harvard University Press
2007-2016

Harvard University
2008-2015

Students of social inequality have noted the presence mechanisms militating toward cumulative advantage and increasing inequality. Social scientists established that individuals' choices are influenced by those their network peers in many domains. We suggest ubiquity effects tendencies related. Inequality is exacerbated when individual differences multiplied networks: persons must decide whether to adopt beneficial practices; externalities, learning, or normative pressures influence adoption...

10.1146/annurev.soc.012809.102545 article EN Annual Review of Sociology 2012-06-22

Machine learning is a field at the intersection of statistics and computer science that uses algorithms to extract information knowledge from data. Its applications increasingly find their way into economics, political science, sociology. We offer brief introduction this vast toolbox illustrate its current in social sciences, including distilling measures new data sources, such as text images; characterizing population heterogeneity; improving causal inference; offering predictions aid...

10.1146/annurev-soc-073117-041106 article EN Annual Review of Sociology 2019-05-13

Employing longitudinal data from Thailand to replicate studies of cumulative causation, we extend current knowledge by measuring frequency trips, duration time away, level network aggregation (village or household), and sex composition migrant networks estimate a model prospective migration among men women in Thailand. We find that trips away have distinct influences upon migration; household are more influential than village networks; female male different outcomes; and, social capital...

10.1353/sof.2005.0094 article EN Social Forces 2005-09-01

The authors describe a common but largely unrecognized mechanism that produces and exacerbates intergroup inequality: the diffusion of valuable practices with positive network externalities through social networks whose members differentially possess characteristics associated adoption. examine two cases: first, to explore mechanism's implications and, second, demonstrate its utility in analyzing empirical data. In Internet use, effects increase adoption's benefits associates prior adopters....

10.1086/659653 article EN American Journal of Sociology 2011-05-01

A review of the sociological research about gender and migration shows substantial ways in which fundamentally organizes social relations structures influencing causes consequences migration. Yet, although a significant has emerged on last three decades, studies are not evenly distributed across discipline. In this article, we map recent intellectual history field sociology then systematically assess extent to engendering have appeared four widely read journals (American Journal Sociology,...

10.1111/j.1747-7379.2006.00008.x article EN International Migration Review 2006-03-01

Scholars have long noted how migration streams, once initiated, obtain a self-feeding character. Studies connected this phenomenon, called the cumulative causation of migration, to expanding social networks that link migrants in destination individuals origin. While extant research has established positive association between individuals’ ties prior and their propensities, seldom researchers interrogated multiple mechanisms—as well as exposure common environmental factors—might account for...

10.1177/0002764216643131 article EN American Behavioral Scientist 2016-04-19

Network externalities (where the value of a practice is function network alters that have already adopted practice) are mechanisms exacerbate social inequality under condition homophily advantaged individuals poised to be primary adopters socially connected other individuals). In their 2011 article, Dimaggio and Garip use an agent-based model diffusion on real-life population for empirical illustration and, thus, do not consider consolidation (correlation between traits), parameter shapes...

10.1177/00491241211014237 article EN Sociological Methods & Research 2021-05-28

Migrants to the United States are a diverse population. This diversity, identified in various migration theories, is overlooked empirical applications that describe typical narrative for an average migrant. Using Mexican Migration Project data from about 17,000 first‐time migrants Mexico US between 1970 and 2000, this study employs cluster analysis identify four types of with distinct configurations characteristics. Each migrant type corresponds specific theoretical account becomes prevalent...

10.1111/j.1728-4457.2012.00510.x article EN Population and Development Review 2012-09-01

Machine learning is a field at the intersection of statistics and computer science that uses algorithms to extract information knowledge from data. Its applications increasingly find their way into economics, political science, sociology. We offer brief introduction this vast toolbox, illustrate its current in social sciences, including distilling measures new data sources, such as text images; characterizing population heterogeneity; improving causal inference, offering predictions aid...

10.31235/osf.io/a6r9g preprint EN 2019-01-10

Abstract Climate change is projected to increase human mobility. Research links climate stressors, such as warming temperatures, severe weather events, and rising sea levels, migration within between countries in many regions of the world. This paper reviews this new frontier for research charts directions future work. Understanding mobility, we argue, requires considering local context identify mechanisms (what impacts) selectivity (who responds). needs draw more on existing theory deduce...

10.1111/padr.12716 article EN cc-by-nc Population and Development Review 2025-01-27

Migration theory is adult-centric, failing to account for the experiences of children despite their increasingly important participation in migration flows. Using a life-course perspective and findings from research at intersection childhood studies migration, this paper considers whether different theories apply child as compared adult migration. We examine question using Mexican Project data track cross-border moves 109,096 individuals relative family members. find that economics best...

10.1177/01979183241268129 article EN International Migration Review 2024-09-19

Extreme dry events already disrupt populations' ability to migrate. In a warming climate, compound drought could amplify vulnerability and drive forced migration. Here, we contribute the first multi-method research design on societal impacts from events. We show how mobility patterns are shaped by intersection of social factors in three drought-prone countries - Madagascar, Nepal, Mexico. find that internal migration agricultural communities Mexico increased 14 24 basis points 1991 2018 will...

10.1016/j.isci.2022.105491 article EN cc-by iScience 2022-11-23

This article adopts a mixed-methods approach to illustrate how economic, political, and social mechanisms work across time shape individuals’ migration decisions. First, using large-scale survey data from the Mexican Migration Project, we show that factors all matter for decisions but come most over time. Second, drawing on 120 in-depth interviews with migrants their family members in four communities, find communities’ histories contribute at different points In communities limited...

10.1177/0002716219847148 article EN The Annals of the American Academy of Political and Social Science 2019-07-01

A growing body of research investigates how changes in weather shape individual choices about migration, yet highly variable results continue to challenge our understanding the weather-migration nexus. We use a data-driven approach identify which variables best predicted migration decisions 54,986 individuals originating Mexico between 1989 and 2016. Using supervised machine learning, we fit random forests model based on individual, household, community attributes training data...

10.1080/1369183x.2022.2100549 article EN Journal of Ethnic and Migration Studies 2022-08-16

Background Human cadavers are crucial to numerous aspects of health care, including initial and continuing training medical doctors advancement research. Concerns have periodically been raised about the limited number whole body donations. Little is known, however, a unique form donation, namely co-donations or instances when married individuals decide register at same time as their spouse donors. Our study aims determine extent co-donation individual factors that might influence...

10.1371/journal.pone.0042673 article EN cc-by PLoS ONE 2012-08-07
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