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Meeting of the 9/11 Commissioners and a discussion of their report and its legacy, seven years after its publication. Includes questions from the moderator, Ken Bode, directed to members of the committee. These comments are sourced from the general public as well as other sources. Each question is responded to by an number of commission members in turn.
Mary Jo Weaver served as a professor in the Department of Religious Studies at Indiana University from 1975 until her retirement in 2006. Audiovisual materials in Dr. Weaver’s papers consist primarily of recordings of radio appearances and conference presentations.
Presentation by Mary Jo Weaver on her fourth book: 'New Catholic Women: A Contemporary Challenge to Traditional Religious Authority'. Dr. Weaver discusses the role of women in religious systems around the world, and the role of gender in religious practice.
Digital technology is changing everything in our lives, including the ways in which we study, learn, teach, and create knowledge in the university. While these changes have been slower to come in the humanities, they are now well established and accelerating, with significant implications for teaching and research. What are the new opportunities afforded by the development of digital tools and platforms for humanists? What new fields of inquiry have opened for humanists as a result of the explosion of digital technology? And how should humanists understand and respond to the growing power and influence of the technical disciplines in shaping the priorities of the contemporary university?
Presented by Dr. William D. Adams, former head of the National Endowment for the Humanities, as part of the IU Institute for Digital Arts & Humanities 2017-18 Speaker Series, which had the theme "Making the Arts & Humanities."
The practice of text mining in digital humanities is phallogocentric. Text mining, a particular kind of data mining in which predictive methods are deployed for pattern discovery in texts is primarily focused on pre-assumed meanings of The Word. In order to determine whether or not the machine has found patterns in text mining, we begin with a “ground truth” or labels that signify the presence of meaning. This work typically presupposes a binary logic between lack and excess (Derrida, Dissemination, 1981). There is meaning in the results or there is not. Sound, in contrast, is aporetic. To mine sound is to understand that ground truth is always indeterminate. Humanists have few opportunities to use advanced technologies for analyzing sound archives, however. This talk describes the HiPSTAS (High Performance Sound Technologies for Access and Scholarship) Project, which is developing a research environment for humanists that uses machine learning and visualization to automate processes for analyzing sound collections. HiPSTAS engages digital literacy head on in order to invite humanists into concerns about machine learning and sound studies. Hearing sound as digital audio means choosing filter banks, sampling rates, and compression scenarios that mimic the human ear.
Unless humanists know more about digital audio analysis, how can we ask, whose ear we are modeling in analysis? What is audible, to whom? Without knowing about playback parameters, how can we ask, what signal is noise? What signal is meaningful? To whom? Clement concludes with a brief discussion about some observations on the efficacy of using machine learning to facilitate generating data about spoken-word sound collections in the humanities.