Scientific diasporas as development partners: Skilled migrants from Colombia, India and South Africa in Switzerland: empirical evidence and policy responses- Preface by Jean-Baptiste Meyer
Authors:
Gabriela Tejada Guerrero, Jean-Claude Bolay (editors)
ISBN:
9783034303910
Binding:
Paperback
Year:
2010
Pages:
545
Size:
17 x 24 cm
Weight:
924 grams
Price:
INR
3230.00
Over the last two decades, globalisation has accelerated international migration flows, particularly of skilled labour. Yet increasing migration by skilled workers from developing countries («brain drain») has raised serious concerns internationally about the adverse development impact on their countries of origin. This book, however, highlights the positive aspects of skilled labour migration as scientific diasporas are playing a growing role in the transfer of technology, skills and knowledge («brain gain») to their home countries. This is a very significant development in a globalised world where science, technology and knowledge can trigger economic and social transformations. The book presents solid empirical evidence of the contributions scientific diasporas make to their countries of origin, based on primary surveys of skilled migrants from Colombia, India and South Africa employed in Switzerland, a major destination country. The findings lead to a better understanding of the motives for migration, the profile of the scientific diaspora communities in Switzerland, and the varied ways in which they help their home countries. The book makes a significant contribution to the international policy debate and dialogue on migration and development. In particular, it shows how to leverage the potential of scientific diasporas as agents of home country development, by identifying good practices and offering specific recommendations for the countries of origin and of destination.
Aakash Mukherjee
Aakash Mukherjee has completed his Integrated M.Sc. in Mathematics & Computing from Department of Mathematics, Birla Institute of Technology, Mesra, Ranchi, Jharkhand. His research interests are machine learning, applied and computational statistics. The present work is a part of his master’s dissertation which he completed under the guidance of Prof. Soubhik Chakraborty. Aakash Mukherjee is currently working as Data Scientist at Sumeru Inc.
Soubhik Chakraborty
Primarily a statistician, Soubhik Chakraborty is currently a Professor and formerly Head in the department of Mathematics, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India. His research interests are algorithm and music analysis involving extensive use of computational statistics. He has been guiding several research scholars leading to PhD in these areas and has published over 100 papers, 4 books and 7 research monographs. He is also an acknowledged reviewer associated with ACM, IEEE and AMS. Himself an amateur harmonium player and a former flutist, his recently published book Computational Musicology in Hindustani Music, joint with Prof. Guerino Mazzola (School of Music, University of Minnesota, USA) and Chakraborty’s own PhD scholars Dr Swarima Tewari and Dr Moujhuri Patra published by Springer in 2014 is the first book dedicated to the topic. He is also one of the authors of the book Signal Analysis of Hindustani Classical Music, Springer, 2017 jointly authored by Prof. Asoke Kumar Datta of Indian Statistical Institute, Kolkata and four other co-authors.