Could not complete log in. Possible causes and solutions are:
Cookies are not set, which might happen if you've never visited this website before.
Please open https://media.dlib.indiana.edu/ in a new window, then come back and refresh this page.
An ad blocker is preventing successful login.
Please disable ad blockers for this site then refresh this page.
Panel Participants are Lisa Marling (Ally, Nurse), JR Ridgeway (Army, Law Enforcement), Scott Tucker (Business Owner), Benjamin Guard (Student, Co-founder of SAGA at IVY Tech), Sue King (Navy Vet, Archivist), and Brent Walsh (Administrator, Earlham School of Religion). All participants identify as LGBTQ+ and currently live or is originally from Wayne County, Indiana and surrounding areas.
Poetry reading of Stephen S. Mills. Video recording of Mills reading "How We Became Sluts" from his published work "Not Everything Thrown Starts a Revolution."
Interview of IU East student Jamie Peterson by Samantha Shockley for assignment for Professor Travis Rountree's ENG-W270 Argumentative Writing class in the spring of 2019.
Poetry reading by Stephen S. Mills. Audio recording of Mills reciting his poem "You Don't Look Violent" from his published work "Not Everything Thrown Starts a Revolution."
Interview of IU East student Alex Hakes by Ethan Scott for assignment for Professor Travis Rountree's ENG-W270 Argumentative Writing class in the spring of 2019.
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 “demystify” Python and to teach social scientists how to manipulate and examine data that deviate from the clean, rectangular survey format. This workshop is intended for social scientists who are new to programming. No experience required.
In this workshop, participants will examine a set of visualizations created by a team of faculty, librarians and academic specialists at Michigan State University. Using Michigan State University Library (MSUL) library data, this group can be utilized to explore questions of community and identity in comics culture. Utilizing the MSUL dataset, we will use Flourish to create visualizations that shed light on the patterns linked to comic publishing in the United States. Participants will leave the workshop with a better understanding of how to prepare data, model it in Flourish, and how to access pre-existing datasets here and elsewhere that work with Flourish.
What is the narrative of comic book history in the United States? For some comic scholars, a canon defined by themes such as trauma, memory, and autobiography defines the use way that comics provide particular insight on popular culture. Whatever these debates about comic canon, the form offers an important opportunity. Comic history is also urban history. Comics have played a central role in shaping our collective understanding of urban life. As visual narrative informed by questions of community, consumption, and identity, the comic medium offers an opportunity to think deeply about how the perception and the reality of urban life evolve through comic pages. In this presentation, Julian Chambliss will discuss the potential benefits offered by Collection as Data project developed by a Michigan State University workgroup using Michigan State University Library (MSUL) library metadata. What narratives of comics and community does such a dataset offer to scholars? How can these narratives engage students and scholars to create a greater understanding of comics and culture in the United States? This talk will highlight some potential pathways offered by comic book cities as windows on a wider urban imaginary in the United States.