Return migration of German-affiliated researchers: Analyzing departure and return by gender, cohort, and discipline using Scopus bibliometric data 1996-2020

• URL: http://arxiv.org/abs/2110.08340v1
• Date: Fri, 15 Oct 2021 19:59:21 GMT
• Title: Return migration of German-affiliated researchers: Analyzing departure and return by gender, cohort, and discipline using Scopus bibliometric data 1996-2020
• Authors: Xinyi Zhao, Samin Aref, Emilio Zagheni, and Guy Stecklov
• Abstract summary: We use Scopus bibliometric data on 8 million publications from 1.1 million researchers who have published at least once with an affiliation address from Germany in 1996-2020. Our analyses shed light on important career stages and gender disparities between researchers who remain in Germany and those who both migrate out and those who eventually return.
• Score: 0.6299766708197883
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The international migration of researchers is a highly prized dimension of scientific mobility and motivates considerable policy debate. However, tracking migration life courses of researchers is challenging due to data limitations. In this study, we use Scopus bibliometric data on 8 million publications from 1.1 million researchers who have published at least once with an affiliation address from Germany in 1996-2020. We describe several key steps and algorithms we develop that enable us to construct the partial life histories of published researchers in this period. These tools allow us to explore both the out-migration of researchers with German affiliations as well as the subsequent return of a share of this group - the returnees. Our analyses shed light on important career stages and gender disparities between researchers who remain in Germany and those who both migrate out and those who eventually return. Return migration streams are even more gender imbalanced and point to the importance of additional efforts to attract female researchers back to Germany. We document a slightly declining trend in return migration with cohorts which, for most disciplines, is associated with decreasing German collaboration ties among cohorts of researchers who leave Germany. Also, gender disparities for the most gender imbalanced disciplines are unlikely to be mitigated by return migration given the gender compositions in cohorts of researchers who leave Germany and those who return. This analysis reveals new dimensions of scholarly migration by investigating the return migration of published researchers which is critical for science policy development.

Related papers

• The Lou Dataset -- Exploring the Impact of Gender-Fair Language in German Text Classification [57.06913662622832]
  Gender-fair language fosters inclusion by addressing all genders or using neutral forms. Gender-fair language substantially impacts predictions by flipping labels, reducing certainty, and altering attention patterns. While we offer initial insights on the effect on German text classification, the findings likely apply to other languages.
  arXiv  Detail & Related papers  (2024-09-26T15:08:17Z)
• Combining Twitter and Mobile Phone Data to Observe Border-Rush: The Turkish-European Border Opening [2.5693085674985117]
  Following Turkey's 2020 decision to revoke border controls, many individuals journeyed towards the Greek, Bulgarian, and Turkish borders. However, the lack of verifiable statistics on irregular migration and discrepancies between media reports and actual migration patterns require further exploration. This study is to bridge this knowledge gap by harnessing novel data sources, specifically mobile phone and Twitter data.
  arXiv  Detail & Related papers  (2024-05-21T09:51:15Z)
• A Computational Analysis of the Dehumanisation of Migrants from Syria and Ukraine in Slovene News Media [8.35176751141867]
  We adapt a recently proposed approach for English to study attitudes to migration expressed in Slovene newspapers. We examine changes in the discourse on migration between the 2015-16 migration crisis following the war in Syria and the 2022-23 period following the war in Ukraine. We find that while this discourse became more negative and more intense over time, it is less dehumanising when specifically addressing Ukrainian migrants compared to others.
  arXiv  Detail & Related papers  (2024-04-10T14:28:09Z)
• Mapping the Increasing Use of LLMs in Scientific Papers [99.67983375899719]
  We conduct the first systematic, large-scale analysis across 950,965 papers published between January 2020 and February 2024 on the arXiv, bioRxiv, and Nature portfolio journals. Our findings reveal a steady increase in LLM usage, with the largest and fastest growth observed in Computer Science papers.
  arXiv  Detail & Related papers  (2024-04-01T17:45:15Z)
• Award rate inequities in biomedical research [55.850540873687386]
  The authors performed an analysis of 14,263 biomedical research proposals with proposed start dates between 2010-2022 from the University of Michigan Medical School. There is a clear relationship between race/ethnicity and rates of proposal award. Black/African American and Asian researchers appear disadvantaged across all submission categories relative to White researchers.
  arXiv  Detail & Related papers  (2022-06-14T14:05:39Z)
• Towards Understanding Gender-Seniority Compound Bias in Natural Language Generation [64.65911758042914]
  We investigate how seniority impacts the degree of gender bias exhibited in pretrained neural generation models. Our results show that GPT-2 amplifies bias by considering women as junior and men as senior more often than the ground truth in both domains. These results suggest that NLP applications built using GPT-2 may harm women in professional capacities.
  arXiv  Detail & Related papers  (2022-05-19T20:05:02Z)
• The effect of the COVID-19 pandemic on gendered research productivity and its correlates [0.0]
  This study examined how the proportion of female authors in academic journals on a global scale changed in 2020. We observed a decrease in research productivity for female researchers in 2020, mostly as first authors, followed by last author position. Female researchers were not necessarily excluded from but were marginalised in research.
  arXiv  Detail & Related papers  (2021-11-29T06:20:44Z)
• International Migration in Academia and Citation Performance: An Analysis of German-Affiliated Researchers by Gender and Discipline Using Scopus Publications 1996-2020 [0.41998444721319206]
  We analyze the trends in international migration to and from Germany among published researchers over the past 24 years. We show that while Germany has been highly integrated into the global movement of researchers, the country has been sending more published researchers abroad than it has attracted.
  arXiv  Detail & Related papers  (2021-04-26T07:37:02Z)
• Learnings from Frontier Development Lab and SpaceML -- AI Accelerators for NASA and ESA [57.06643156253045]
  Research with AI and ML technologies lives in a variety of settings with often asynchronous goals and timelines. We perform a case study of the Frontier Development Lab (FDL), an AI accelerator under a public-private partnership from NASA and ESA. FDL research follows principled practices that are grounded in responsible development, conduct, and dissemination of AI research.
  arXiv  Detail & Related papers  (2020-11-09T21:23:03Z)
• Brain Drain and Brain Gain in Russia: Analyzing International Migration of Researchers by Discipline using Scopus Bibliometric Data 1996-2020 [77.34726150561087]
  We analyze all researchers who have published with a Russian affiliation address in Scopus-indexed sources in 1996-2020. While Russia was a donor country in the late 1990s and early 2000s, it has experienced a relatively balanced circulation of researchers in more recent years. Overall, researchers emigrating from Russia outnumbered and outperformed researchers immigrating to Russia.
  arXiv  Detail & Related papers  (2020-08-07T12:47:38Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.