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''A deep relationship with places is as necessary, and perhaps as unavoidable, as close relationships with people; without such relationships human existence, while possible, is bereft of much of its significance.''<br /><br />– Edward Relph, Place and Placelessness, 1976<br /> | ''A deep relationship with places is as necessary, and perhaps as unavoidable, as close relationships with people; without such relationships human existence, while possible, is bereft of much of its significance.''<br /><br />– Edward Relph, Place and Placelessness, 1976<br /> | ||
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At the convergence between deep learning, synthetic media, ambient computing and mixed realities, approaches to structuring and implementing physical interactions in platform environments require not only an attention to opaque probabilistic computational processes, but also the ability to identify, articulate and process relational, semantic and epistemological linkages between people, objects, place and space.<br /><br /> | At the convergence between deep learning, synthetic media, ambient computing and mixed realities, approaches to structuring and implementing physical interactions in platform environments require not only an attention to opaque probabilistic computational processes, but also the ability to identify, articulate and process relational, semantic and epistemological linkages between people, objects, place and space.<br /><br />Building on discourse from disciplines including environmental social science, geomatics, information science and knowledge engineering, this project module will explore the spectrum between phenomenology and applied ontologies as an extension of human-machine interaction paradigms.<br /><br />Through a series of lectures, workshops, readings and targeted discussions, participants will address topics including human and artificial intelligence, agent-based systems, detection and prediction methods, spatial interfaces, platform urbanism and smart citizenry, with a view towards creating and documenting a speculative prototype or interactive proof-of-concept.<br /> | ||
Building on discourse from disciplines including environmental social science, geomatics, information science and knowledge engineering, this project module will explore the spectrum between phenomenology and applied ontologies as an extension of human-machine interaction paradigms.<br /><br />Through a series of lectures, workshops, readings and targeted discussions, participants will address topics including human and artificial intelligence, agent-based systems, detection and prediction methods, spatial interfaces, platform urbanism and smart citizenry, with a view towards creating and documenting a speculative prototype or interactive proof-of-concept.<br /> | |||
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