Summer Talks: Training and the problem of data: Difference between revisions
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Ramon Amaro | {{Events | ||
|Name=Summer Talks | |||
|Location=De Punt, Frans de Wollantstraat 84, 1018 SC Amsterdam | |||
|Date=2015/07/30 | |||
|Time=19:00-23:00 | |||
|PeopleOrganisations=Ramon Amaro | |||
|Type=Summer Academy | |||
|Web=Yes | |||
|Print=Yes | |||
}} | |||
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 | |||
{{#ev:youtube|https://www.youtube.com/watch?v=bNekeAI7bs4|400|right|Training and the problem of data: What would it take to adopt a fugitive statistics? | {{#ev:youtube|https://www.youtube.com/watch?v=bNekeAI7bs4|400|right|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 | by Ramon Amaro during the Hackers & Designers Summer Talks 2015 | ||
|frame}} | |frame}} | ||
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 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. | ||
Revision as of 16:17, 13 November 2015
Template:Events 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
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 http://summer.hackersanddesigners.nl