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In Ep. 104, Dean Shanahan talks with former director of the Office of Policy Analysis at the U.S. Department of the Interior. Tune in to hear Clement discuss the impact of climate change and whistleblowing in a government agency.
This study examines the South Korean cyberfeminist community Womad, a community currently under fire in South Korea due to its exclusionary politics, i.e. its antagonism towards anyone (biologically) male and (ethnically) Korean. In this project, The study reveals how Womad’s “medium specificity” (i.e. its platform) interacts with South Korea’s “national specificity” in specific ways that results in the “technological assemblage” that is Womad. By amassing individual postings through data crawling, the project uses computerized text analysis to (1) reveal the technical difficulties underlying textual analysis of Korean online communities in general (2) examine the kinds of topics that this specific community engages with (3) investigate which topics are most popular/unpopular within the community (thus accruing more upvotes/downvotes).
Marriage Equality: Stories from the Heartland is an on-going project dedicated to recording stories from same-sex couples about their journeys into marriage. Sponsored by the Indiana University’s Department of Gender Studies, the Office for Vice President for Research New Frontiers program, and the IU Bloomington Arts and Humanities Council. - WFHB Marriage Equality Stories from the Heartland
This week: A team of Indianapolis artists are using shapes and open spaces to teach about the environment, and people are raising chickens in their backyards.
The Sample: In this episode of The Sample, the team flips back fifty years to 1968. Through The Ballantonian, a weekly liberal arts review run from September 1967 to January 1969 by Indiana University students, we offer the year's poetry, criticism and politics. Special thanks to the director of University Archives, Dina Kellams.
Python has become the lead instrument for data scientists to collect, clean, and analyze data. As a general purpose programming language, Python is flexible and well-suited to handle large datasets. This workshop is designed for social scientists, who are interested in using Python, but have no idea where to start. Our goal is to "de-mystify" Python and to teach social scientists how to manipulate and examine data that deviate from the clean, rectangular survey format. Computers with Python pre-loaded are available in the SSRC on a first-come, first-served basis. This workshop is intended for social scientists who are new to programming. No experience required.
In Ep. 103, Dean Jim Shanahan is joined by Bernard Fraga, Professor of Political Science at Indiana University. Tune in to hear about Fraga's research on voter turnout rates, political polls, and gerrymandering and redistricting.
Researchers often get contradictory advice from professors, colleagues, reviewers, and textbooks on how to deal with clustering across time and space. Economists argue strongly for “fixed effects” models. Psychologists and statisticians more typically push for “mixed effects” models. Most applied researchers in the social sciences are told to use a Hausman test to decide between fixed and random effects. This is complicated by the fact that different disciplines, articles, and books use very different terminology and notation to describe models. This lecture will walk participants through the basic problems of clustered data and translate the solutions from economics, psychology, and statistics into a common language. We will focus on how to make practical decisions on model choices for linear and nonlinear models, what problems can crop up, and how to describe/justify your methods to different audiences.
The Sample: In this episode of The Sample, Terick talks with Mike Sellers of the Media School about the way game design can extend beyond entertainment. Photo by Samuel Zeller on Unsplash.
Institute for Digital Arts & Humanities, Mary Borgo Ton
Summary:
How do we encourage students to read material closely and carefully? What can mark-up show us about the content and context of archival material? This workshop discusses TEI, an internationally-recognized mark-up language, as a framework for analyzing literature, historical documents, and images. We'll use a paper-based activity to explore the manuscript of Frankenstein with a particular focus on the content and editorial history of Mary Shelley's classic novel. No prior experience with mark-up languages needed!
