Difference between revisions of "Summer Talks: Training and the problem of data"

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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}}
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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 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

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 http://summer.hackersanddesigners.nl