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

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