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The book analyses how racial knowledge has circulated in transnational entanglements, particularly between Germany and India, into the research on human variation in India, racializing the understanding of caste and ethnicity. It focuses on the legacy of Irawati Karve (1905-1970), a Indian anthropologist trained at the Kaiser Wilhelm Institute for Anthropology, Eugenics, and Human Heredity in Berlin, Germany (1927-1930) and a prominent scientist in post-colonial India. Besides a historical analysis of Karve's adaptation of racial approaches to the study of Indian castes, the book applies material-semiotic and ethnographic lenses to examine how her work is taken up today in anthropology and p...
Bioscientific concepts of human diversity and politics of inequality have long been intertwined in efforts to order and classify people. The contributors to this volume critically examine the particular ways in which these concepts are constituted and applied across various national contexts and within different life science disciplines, including genetics, medicine, forensics, anthropology, epidemiology, and microbiome research. By highlighting cases outside the dominant research focus on the United States, the authors unpack the epistemological foundations, inherent ambiguities, and political dimensions underlying key classifications—such as race, ethnicity, ancestry, and migration background.
The two-volume set LNAI 12319 and 12320 constitutes the proceedings of the 9th Brazilian Conference on Intelligent Systems, BRACIS 2020, held in Rio Grande, Brazil, in October 2020. The total of 90 papers presented in these two volumes was carefully reviewed and selected from 228 submissions. The contributions are organized in the following topical section: Part I: Evolutionary computation, metaheuristics, constrains and search, combinatorial and numerical optimization; neural networks, deep learning and computer vision; and text mining and natural language processing. Part II: Agent and multi-agent systems, planning and reinforcement learning; knowledge representation, logic and fuzzy systems; machine learning and data mining; and multidisciplinary artificial and computational intelligence and applications. Due to the Corona pandemic BRACIS 2020 was held as a virtual event.
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