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

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

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-Ramon Amaro
+{{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?===
 {{#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?
@@ Line 5: / Line 15: @@
 |frame}}
-Training and the problem of data: 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.
-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
 August 2015 in De PUNT Amsterdam
 http://summer.hackersanddesigners.nl
-[[Category:Article]]
+[[File:Lecture-Ramon2.png|thumb|]]
 [[Category:WriteMe]]
 [[Category:Print]]