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

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Transcription of Ramon's lecture
{{Event
|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?===


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File:Ramon.jpg|Adopt fugitive statistics|alt=alt language
File:Ramon1.jpg|Adopt fugitive statistics|alt=alt language
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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


7 August 2015 in De PUNT Amsterdam


http://summer.hackersanddesigners.nl
[[File:Lecture-Ramon2.png|thumb|]]


[[Category:WriteMe]]
[[Category:WriteMe]]
[[Category:Print]]
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Latest revision as of 11:57, 29 February 2024

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?

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