scholarly journals International Scientific Migration: Progress or a Threat to Russia’s Scientific and Technological Security

2018 ◽  
pp. 243-252 ◽  
Author(s):  
V.A. Koksharov ◽  
G.A. Agarkov
Keyword(s):  
2015 ◽  
pp. 4-5
Author(s):  
Gali Halevi ◽  
Henk Moed

This article presents two bibliometric techniques for the study of international scientific migration and international collaboration. The first is based on tracking of an author's career in terms of the institutions from which he or she has published their research articles, and the second on co-authorship relations between researchers active in different countries. To illustrate this analysis, we present results of 17 selected countries.


2021 ◽  
Vol 17 (4) ◽  
pp. 1196-1209
Author(s):  
A.E. Sudakova ◽  
◽  
A.A. Tarasyev ◽  
D.G. Sandler ◽  
◽  
...  

The population migration has attracted attention for more than a decade. As migration consequences differ in terms of characteristics and directions, governments worldwide are looking for solutions to regulate migration flows. The study aims to systematise push-pull factors of migration by analysing existing cases, as well as to build a model for predicting migration considering the quantitative interpretation of such factors. While migration factors are quite similar regardless of the country of residence, their main differences are compatibility and hierarchy. The most frequently mentioned factors include the expectation of income increase, improvement in the quality of life, professional aspects. Simultaneously, a certain pattern emerges: if a migrant’s material and economic needs are satisfied in the country of departure, they pay more attention to intangible/non-economic benefits (quality of life, infrastructure, etc.). A dynamic forecasting model for scientific migration has been developed based on the theory of positional games. The model demonstrates the changes in migration flows by describing the behaviour of a rational individual who seeks to maximise benefits from migration. The result of the simulation is a short-term forecast of trends in scientific migration of Ural scholars to key migration countries. The model predicts the intensification of migration flows to the leading Asian countries, their alignment with flows to America, and a decrease in migration to European countries. This forecast is characterised by a direct dependence of the dynamics of scientific migration flows on the socio-economic development of migration destinations. Practical implications of this study include the development of a predictive model describing migration flows in the short term as an analytical tool and systematisation of pull-push factors as key indicators for managing the migration flows of scientists. In addition, the research proposes measures positively affecting the balance of scientific migration.


2012 ◽  
Vol 94 (3) ◽  
pp. 929-942 ◽  
Author(s):  
Henk F. Moed ◽  
M’hamed Aisati ◽  
Andrew Plume
Keyword(s):  

2014 ◽  
Vol 101 (3) ◽  
pp. 1987-2001 ◽  
Author(s):  
Henk F. Moed ◽  
Gali Halevi

2021 ◽  
Vol 91 (4) ◽  
pp. 428-437
Author(s):  
V. N. Gureev ◽  
A. E. Guskov ◽  
N. A. Mazov
Keyword(s):  

Author(s):  
Brian Balmer ◽  
Matthew Godwin ◽  
Jane Gregory

Although concerns about the loss of British scientists to the USA and elsewhere grew slowly throughout the 1950s and early 1960s, the Royal Society's 1963 report on the emigration of scientists sparked a very public debate about the ‘brain drain’. This paper concentrates on the Society's key role in creating focus and impetus for the debate through the report and questionnaire survey that informed it. In this engagement with social science research, the tension between the Society's political neutrality, as a representative of science, and political intervention, as an advocate for science, manifested itself in the planning, execution and reporting of its study on scientific migration.


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