University of Amsterdam, the Netherlands
Arianna Betti. Head of Department & Professor and Chair of Philosophy of Language, University of Amsterdam (ILLC) whose expertise is in data-driven approaches to philosophy to explore how concepts from the history of ideas can be traced through time and space.
Taking the computational turn in the History of Ideas
What does it take, for a historian of ideas or an intellectual historian, to take the computational turn in her discipline? In sketching the path from a traditional to a computational approach in this field of the humanities, I highlight three issues: how ideas should be modelled, how the right modelling of ideas can help up solve novel issues in corpus selection, and what ‘modelling’ here exactly means.
University of Nebraska-Lincoln, USA
Stephen Ramsay. Associate Professor in the Centre for Digital Humanities, University of Nebraska-Lincoln, a specialist in research associated with the philosophical issues relating to the use of technology and the perceived “scientism” in the humanities.
Algorithm and Interpretation
It is a commonplace to say that data require interpretation – that without human intervention, data is essentially meaningless. But this situation is complicated by the algorithm, which provides a machinic layer of semantics between raw data and human interpreters. In this talk, I’ll explore the nature of this complex relationship between data, algorithms, and human interpreters, and suggest that algorithms, rather than “de-humanizing” interpretation, serve instead to deepen our interpretative engagement with data.