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

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{{Event
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|Name=Summer Talks: Training and the problem of data
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|Location=De Punt, Frans de Wollantstraat 84, 1018 SC Amsterdam
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|Date=2015/08/07
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|Time=20:45-21:30
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|PeopleOrganisations=Ramon Amaro
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|Type=HDSA2015
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|Web=Yes
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|Print=Yes
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}}
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===What would it take to adopt a fugitive statistics?===
  
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{{#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?
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by Ramon Amaro during the Hackers & Designers Summer Talks 2015
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|frame}}
  
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[[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.
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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
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This lecture was part of the Hackers & Designers Summer Talks 2015
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7 August 2015 in De PUNT Amsterdam
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http://summer.hackersanddesigners.nl
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 +
 
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[[File:Lecture-Ramon2.png|thumb|]]
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[[Category:WriteMe]]
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[[Category:Print]]

Latest revision as of 14:30, 13 December 2017

Summer Talks: Training and the problem of data
Name Summer Talks: Training and the problem of data
Location De Punt, Frans de Wollantstraat 84, 1018 SC Amsterdam
Date 2015/08/07
Time 20:45-21:30
PeopleOrganisations Ramon Amaro
Type HDSA2015
Web Yes
Print Yes

What would it take to adopt a fugitive statistics?

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


Lecture-Ramon2.png