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

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===What would it take to adopt a fugitive statistics?===  
 
===What would it take to adopt a fugitive statistics?===  
  

Revision as of 19:15, 21 November 2015

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What would it take to adopt a fugitive statistics?

by Ramon Amaro during the Hackers & Designers Summer Talks 2015

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