Summer Talks: Training and the problem of data: Difference between revisions
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|Name=Summer Talks: Training and the problem of data: What would it take to adopt fugitive statistics | |Name=Summer Talks: Training and the problem of data: What would it take to adopt fugitive statistics | ||
|Location=De Punt, Frans de Wollantstraat 84, 1018 SC Amsterdam | |Location=De Punt, Frans de Wollantstraat 84, 1018 SC Amsterdam | ||
Revision as of 16:16, 19 April 2017
| Summer Talks: Training and the problem of data | |
|---|---|
| Name | Summer Talks: Training and the problem of data: What would it take to adopt fugitive statistics |
| 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 |
| Yes | |
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