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Revision as of 11:07, 2 November 2015
Training and the problem of data: What would it take to adopt a fugitive statistics?
by Ramon Amaro during the Hackers & Designers Summer Talks 2015
Ramon Amaro is a PhD researcher at the Centre for Cultural Studies, Goldsmiths, University of London and Assistant Editor of Big Data & Society, a SAGE journal. Ramon is a Mechanical Engineer and Social Scientist with a background in Technology and Engineering Policy, Engineering Quality Design, and Sociological Research. His doctoral research looks at the ethics of machine learning, artificial intelligence, and big data mining.
Ramon holds a Masters degree in Sociological Research from the University of Essex, and a BSe in Mechanical Engineering from the University of Michigan, Ann Arbor. Prior to my doctoral research, he was a policy manager for the American Society of Mechanical Engineers (ASME), Alternative Fuels Division and a quality design engineer for General Motors Corporation
This lecture was part of the Hackers & Designers Summer Talks 2015
7 August 2015 in De PUNT Amsterdam