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'Big data' or 'big knowledge'? Brazilian genomics and the process of academic marketization

机译:'大数据'或“大知识”? 巴西基因组学与学术市场化过程

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'Biocapital', 'biovalue' and 'bioeconomics' are examples of terms formulated to interpret the commercial exploration of genomics science. Although highlighting important aspects, these terms tend to suggest the triumph of the market logic, which would have tamed all other logics. In this paper, it is argued that national and global markets obviously draw on economic rationales but can also be shaped by other rationales such as the academic logic. I analyse the genomics complex (formed by the combination between genomics inquiry, DNA sequencing and bioinformatics) in Brazil. A process of academic marketization is identified, four manifestations of which are analysed. First, academic interests have played a major role in the definition of themes to be investigated in Brazil at the expense of companies' interests. Second, academics have prioritized human health studies at the expense of agrarian studies. Third, academic demands have expanded the importation of DNA sequencing devices to Brazil. Fourth, these demands have conducted Brazil towards an increasing and subaltern involvement in the global market of sequencing services. Markets are surely shaped by actors wishing to maximize profits. At times, however, they can also be modified by actors decisively moved by academic goals such as scientific prestige or access to research tools. A crucial challenge is that access to hight-throughput technologies (big data) does not necessarily lead to the formulation of theories of considerable scientific and political import (big knowledge).
机译:“Biocapital”,'BioValue'和'Bioeconomics'是制定术语的例子,以解释基因组学科学的商业探索。虽然突出了重要方面,但这些术语倾向于建议市场逻辑的胜利,这将判断所有其他逻辑。在本文中,有人认为,国家和全球市场显然借鉴了经济理由,但也可以被其他理由,如学术逻辑。我分析了巴西基因组学综合体(由基因组查询,DNA测序和生物信息学的组合而形成)。确定了一个学术市场化的过程,分析了四种表现形式。首先,学术兴趣在以牺牲公司利益为代价在巴西调查的主题的定义中发挥了重要作用。其次,学术界优先考虑了人类卫生研究,以牺牲农业研究为代价。第三,学术要求扩展了DNA测序装置的进口到巴西。第四,这些需求对巴西进行了朝着越来越多的次成立在全球测序服务市场上的增加。市场肯定地由希望最大限度地提高利润的演员塑造。然而,有时,他们也可以被参与者审判的演员被修改,例如科学的声望或访问研究工具。至关重要的挑战是,访问高速吞吐量技术(大数据)并不一定导致制定具有相当大的科学和政治进口的理论(大知识)。

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