Kannan, Srinivasan (2010): Rebordering the borders created by multidisciplinary sciences: A study.
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Emergence of “Glass ceiling” like phenomena in the minds of professionals doing research in a multidisciplinary subject needs to be studied. For an example, computational neurosciences(CNS) comprises of neurology, cognitive science, psychology, computer science, physics, mathematics, information technology, radiology, anthropology, sociology, and biology. When a specialist doing research in a multidisciplinary science like computational neuroscience, know less about other disciplines. This at times leads to tension among the members of the multidisciplinary group. This may create an environment where some members feel excluded. This may also lead to a power structure among different professionals. In case of CNS, the biological scientists feel the computational and engineering sciences may use their mathematical power to control them. On the other hand the engineering scientists feel they need to learn more about biology to understand CNS. The highly technical medical specialist such as Electro physiologists were also feeling like the biologists. As computational neurosciences gaining more importance, it is important to understand the interaction among the scientists from different disciplines and its effect on the development of discipline. The present paper is an attempt to study the dynamics of the members of the multidisciplinary group, who have done their short course on CNS.
|Item Type:||MPRA Paper|
|Original Title:||Rebordering the borders created by multidisciplinary sciences: A study|
|English Title:||Rebordering the borders created by multidisciplinary sciences: A study|
|Keywords:||Multidisciplinary Research, Computational Neuroscience, interaction, education, research|
|Subjects:||A - General Economics and Teaching > A3 - Collective Works
I - Health, Education, and Welfare > I2 - Education and Research Insititutions > I23 - Higher Education Research Institutions
D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D89 - Other
A - General Economics and Teaching > A2 - Economics Education and Teaching of Economics > A29 - Other
D - Microeconomics > D4 - Market Structure and Pricing > D40 - General
J - Labor and Demographic Economics > J2 - Demand and Supply of Labor > J24 - Human Capital; Skills; Occupational Choice; Labor Productivity
|Depositing User:||Kannan Srinivasan|
|Date Deposited:||20. Sep 2010 17:33|
|Last Modified:||12. Feb 2013 12:59|
1. Aron, Raymond. 1968. Main currents in sociological thought. USA:Penguin.
2. Beeman, Dave. 2006. Lectures on Computational Neuroscience Available at: http://www.genesis-sim.org/GENESIS/cnslecs/cnslecs.html (Accessed on 20 May 2010).
3. Cotter, David A. Hermmen, Joan M. Ovadia, Seth, & Vanneman, Reeve. 2001. The Glass Ceiling Effect. Social Forces., Vol 80(2):655-682.
4. Fox, Mary Frank., 1999. Gender, Hiearchy and Science. In Chafetz, Janet Saltzman. & Kluwer, Eds. 1999. Handbook of the Sociology of Gender. Academic/Plenum Publishers New York.Ch.20.
5. Liebeskind, Julia Porter, Oliver, Amalya Lumerman, Zucker, Lynne G., Brewer, Marilynn B.1995. Social Networks, Learning, and Flexibility: Sourcing Scientific Knowledge in New Biotechnology Firms. Biotechnology Studies. Institute for Social Science Research UC Los Angeles. Available at: http://escholarship.org/uc/item/4480h6s7 [Accessed on 14 May 2010].
6. Pandit, G.L. 1983.The Structure and Growth of Scientific Knowledge. A Study in the Methodology of Epistemic Appraisal. Holland: D.Reidel Publishing Company.
7. VanDamme, Lisa. 2006. The Hierarchy of Knowledge: The Most Neglected Issue in Education. The Objective Standard A Journal of Culture and Politics, Vol. 1(No. 1).
8. Comte August. Available at: http://media.pfeiffer.edu/lridener/dss/Comte/COMTEW4.HTML [accessed on May 14 2010]