Reminder — Call for papers: Ethnic Discrimination and Brain Waste (online workshop): Deadline 20 September

Call for papers

Ethnic Discrimination and Brain Waste

Online workshop, 6 November 2020, University of Neuchâtel (online)

We are organizing an online workshop on ethnic discrimination and brain waste. This workshop will bring together researchers on ethnic discrimination and brain waste, tackling these issues from various disciplines, theoretical backgrounds, and methods. We welcome empirical studies of discrimination patterns across a large variety of domains, and studies on the consequences of anti-discrimination policies and legislation. Other contributions may focus on how to better measure skills-mismatch, the propensity of immigrants to become self-employed as a result of over-education, the propensity to (re-)migrate due to over-education, or their likelihood to send remittances. We are particularly keen on contributions that fully account for the gender dimension of discrimination and brain waste.

Submit your abstract specifying the research question, data, methods and findings (200 words maximum) at http://neuchatel.eu.qualtrics.com/jfe/form/SV_0xpW57JWD4F1fox no later than 20 September 2020. For further information get in touch with Didier Ruedin (didier.ruedin@unine.ch). The workshop will take place online (Webex), no conference fee.

Full call as PDF: CfP_2020_Discrimination and Brain Waste

Call for papers: Ethnic Discrimination and Brain Waste (online workshop)

Call for papers

Ethnic Discrimination and Brain Waste

Online workshop, 6 November 2020, University of Neuchâtel (online)

We are organizing an online workshop on ethnic discrimination and brain waste. This workshop will bring together researchers on ethnic discrimination and brain waste, tackling these issues from various disciplines, theoretical backgrounds, and methods. We welcome empirical studies of discrimination patterns across a large variety of domains, and studies on the consequences of anti-discrimination policies and legislation. Other contributions may focus on how to better measure skills-mismatch, the propensity of immigrants to become self-employed as a result of over-education, the propensity to (re-)migrate due to over-education, or their likelihood to send remittances. We are particularly keen on contributions that fully account for the gender dimension of discrimination and brain waste.

Submit your abstract specifying the research question, data, methods and findings (200 words maximum) at http://neuchatel.eu.qualtrics.com/jfe/form/SV_0xpW57JWD4F1fox no later than 20 September 2020. For further information get in touch with Didier Ruedin (didier.ruedin@unine.ch). The workshop will take place online (Webex), no conference fee.

Full call as PDF: CfP_2020_Discrimination and Brain Waste

C4P: highly-skilled migrants and brain waste in the (European) labour market; IMISCOE 2016 in Prague

taxidriverWe are seeking paper presentations on highly-skilled migrants and brain waste in the (European) labour market for the annual IMISCOE conference in Prague, 30 June – 2 July 2016. See full call for further information; submit abstracts on-line by 17 January 2016.

We are seeking innovative quantitative papers that examine the (different) reasons and consequences of brain waste, including contributions to better measurement of skills mismatch. Possible research questions are the propensity of immigrants to become self-employed as a result of over-education, their propensity to (re-) migrate due to over-education, or their likelihood to send remittances. We particularly welcome papers that fully account for the gender dimension of brain waste.

Furthermore, the current literature does not adequately address the question of the skills mismatch a migrant would have experienced – if any – if he or she stayed in the country of origin. Notions of brain drain, and brain waste should ideally take into consideration these counterfactuals. After all, the migrant scientist working as a taxi driver may not have found adequate employment in the country of origin.

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