Ramon Amaro (@SambaRhino) is a design engineer by degree and researcher in the areas of machine learning, the philosophy of mathematics, black ontologies, and philosophies of being. Ramon completed his PhD in Philosophy in the Department of Media, Communications and Cultural Studies (the former Centre for Cultural Studies) at Goldsmiths, while holding a Masters degree in Sociological Research from the University of Essex and a BSe in Mechanical Engineering from the University of Michigan, Ann Arbor.
While many studies in race and technology have examined the social, economic and political implications of racialised practices in machine learning and data applications (such as the impact of data bias and algorithmic prejudice on racialised subjects), Ramon's work emerges at the level of enumerative logics to examine pathological organisations of the self that may inform the conditions of sentient and non-sentient sociality, as well as, he argues, the engineering of difference in socio-technical ecologies. Drawing on the work of Frantz Fanon, Sylvia Wynter and Gilbert Simondon, Ramon aims to open up new methodological considerations at the intersections of race, pathology and empiricism, placing specific emphasis on speculative articulations in machine learning, data, mathematics, engineering and black study.
Ramon was previously a Research Fellow in Digital Culture at Het Nieuwe Instituut in Rotterdam and visiting tutor in Media Theory at the Royal Academy of Art, The Hague, NL (KABK), and has worked as Assistant Editor for the SAGE open access journal Big Data & Society; quality design engineer for General Motors; and programmes manager for the American Society of Mechanical Engineers (ASME).
Dr Ramon Amaro teaches the MA special subject "Conflicts & Negotiation" in the Centre for Research Architecture. He also team teaches the core undergraduate module "Space and Time".
Curatorial Activities, Conference Organisation, Performances
2019, Curatorial Adviser, Artificially Intelligent, Barbican, London.
2019, Curator, Dark Matter: On Blackness and Being, Manifesta 13, Palermo.
2017, Co-performer, ‘Movement and De:Colonial Vibrations’, Uncertainty Seminars: The Strange Escape, STROOM, The Hague.
2017, Curator,Techno-Resistance and Black Futures, Goldsmiths, University of London.
2017, Co-organiser, Simulations and Environments: A critical dialogue between systems of perception and ecocritical aesthetics, Goldsmiths, University of London.
2017, Curator, Decolonising Bots, Het Nieuwe Instituut, Rotterdam.
Conferences and Workshops
2018, ‘Human Being as Sound,’ Goldsmiths, University of London.
2018, ’Predictive policing: On the politics of race and data,’ Public Design Symposium, Royal Academy of Arts (KABK), The Hague.
2018, ’Race, Surveillance and the Autopoetically Instituted Being,’ Race and Surveillance, Birkbeck, University of London.
2018, ’Ethics and Machine Learning,’ FutureFest, NESTA, London.
2018, ’Movement And Framing (Or Grief And The Performance of Black Death),’ Critical Photography, Hochschule Düsseldorf, Düsseldorf.
2018, ’Race Substance, Photography, and Machinic black performance,’ The Photographer’s Gallery, London.
2018, ’Machine Learning, Black Labour, and Bio-epistemic Resistance,’ After Work: Life, Labour and Automation, University of West London.
2017, ’Surveillance and the Colonial Bio-episteme,’ Contra-internet, Gasworks, London.
2017, ’Blockchain and the General Problem of Protocological Control,’ DAOWO: Identity Trouble, Goethe Institut.
2017, ’Data, Labour, and the Politics of Decision,’ Art: Tech, Tate Modern, London.
2017, ’Fanon, race and technology,’ Fanon Now, Tate Modern.
2017, ’Machine Learning and the Decolonial Option,’ Decolonising STEM, Cambridge University.
2017, ’The Algorithm That Sat By The Door,’ Haunted Random Forest Festival: Finding Human Ghosts in Algorithms, Brighton.
2017, ‘Robot bodies and algorithmic privilege,’ Artistic Strategies from 1980s Beyond: Keith Piper, Tate Modern, London
2016, ‘Race and machine learning: On the blackness of black bodies and the illumination of color,’ Department of Arts and Cultural Studies, University of Copenhagen.
2016, ‘Machine learning and the politics of data,’ Banner Repeater, London.
2016, ‘Machinic culture and discrete abstraction,’ NRW-Forum, Hogeshule, Dusseldorf.
2016, ‘Risking everything: The computational politics of prediction, security, and surveillance,’ Goldsmiths.
2016, ’Leibniz and contemporary calculation,’ European Media Arts Festival, Osnabrück, Germany.
2016, ‘Machine learning, data and discrimination,’ London College of Communications, London.
2015, ‘Colossal data and Black futures,’ Impakt Festival, Utrecht, NL.
2015, ‘Western empiricism, policing and the politics of statistical deviation,’ Blackness in Britain, Birmingham City University, Birmingham.
2015, ‘Training and the problem of data: What would it take to adopt a fugitive statistics?,’ Hackers & Designers Summer Academy, Amsterdam.
2015, ‘Data and bias,’ fig-2 LUNÄ Talks: Uncertainty Scenarios w/ Artist Marjolijn Dijkman, Institute of Contemporary Arts (ICA), London.
2015, ‘Learning to discriminate: machine learning, prediction and the politics of data,’ #Neoliberation - The Self in the Era of New Media, Goldsmiths, University of London.
2015, ‘Preemptive Citizenship: Crime prediction and statistical Intervention in racialised ecologies,’ Radical Ecologies Conference, Goldsmiths, University of London.
2014, Interview with Robert Kitchin, author of The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences, Big Data & Society, Available at: http://goo.gl/kSovue