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This week, we’ll hear from Michael Adams, Provost Professor of English at Indiana University, and author of “In Praise of Profanity” (Oxford University Press, 2016).
Adams sees “In Praise of Profanity” as a continuation of 2009’s “Slang: The People’s Poetry.” In it, he argues that profanity is not only oversimplified as being taboo, it is also valuable and essential as a vehicle of communication and an element of style.
Adams is an English language historian and a frequent contributor to various dictionaries and academic journals. Though his published articles often explore arcane aspects of language, he also writes books aimed at broader audiences. They include “Slayer Slang: A ‘Buffy the Vampire Slayer’ Lexicon” and “From Elvish to Klingon: Exploring Invented Languages.”
This talk will explore how network framework allows us to reveal hidden patterns in social and cultural data, by examining networks in food, history, online communities, and industry.
Research libraries continue to reinvent themselves in the face of increasing demand from users for digitized texts. As physical books move from stacks to deep storage, many researchers lament the reduction in the serendipitous discovery that was provided by browsing the stacks. We believe, however, that digitization offers even greater opportunities for guided serendipity. Developments in machine learning and computing at scale allow content-based models of library collections to be made accessible to patrons. In this talk, we will present a vision for the future of library browsing using the Topic Explorer ‰ÛÃHypershelf‰Û that we have developed for digital collections. It allows users to jump into the collection and browse nearby volumes, rearranging them at will according to topics extracted computationally from the full texts. We will demonstrate the Hypershelf in action, and discuss how it might be integrated with physically-shelved books. This vision enhances rather than supplants the traditional librarians' function of guiding patrons to the best starting points for their research needs.
This webinar will review how to use FSSE with NSSE results to compare student and faculty perspectives, to search for reasons for high or low student results, and to develop strategies to increase student engagement.
This pre-recorded webinar provides an overview of NSSE's most popular topical module-Academic Advising module. Learn about the item set and ways you can explore the data by relating it to student engagement and your own institutional data. The webinar will also highlight reports provided back to participants and helpful online resources for dissemination.
This webinar provides information on some basics of NSSE system participation. There are also tips for system coordinators to consider before survey administration, as well as utilizing their reports and data file, which can optimize their NSSE results.
Contemporary qualitative research often involves teams of researchers collaborating on a project. Armstrong will discuss the pleasures and challenges of this style of research, drawing both on her experiences working with Indiana University sociology alum Laura Hamilton and a team of graduate and undergraduate researchers on Paying for the Party and her more recent experiences at the University of Michigan. Larger teams can collect more data and leverage the diverse social identities of researchers to gain entree to research sites and participants. Collaboration can also add rigor to data analysis, as classifications and interpretations are debated by the research team. However, collaboration introduces challenges of coordination at all stages of the process. These challenges grow with the size of the research team. In addition, the temptation to collect large volumes of data creates risks that the principal investigator may fall into the role of administrator rather than fieldworker and may lose touch with the data. Goffman argued for full immersion in the field and saw the ethnographer's embodied reactions as invaluable. This embodied knowledge can not easily inform the final product if the person who participated in the ethnographic or interview interactions is not the one doing the writing.