Category: Event on campus

Join us for a talk by Dr. Sarah Bond, Assistant Professor in Classics at the University of Iowa. She will be speaking on “Why We Need to Start Seeing the Classical World in Color.”

Monday, November 13, 2017
5pm
Northen Auditorium

Why We Need to Start Seeing the Classical World in Color

Sarah E. Bond
Department of Classics
University of Iowa

In an essay, Sarah Bond writes, “The equation of white marble with beauty is not an inherent truth of the universe; it’s a dangerous construct that continues to influence white supremacist ideas today.” Bond continues her exploration of color perceptions in the scope of the ancient world with a discussion of polychromy and the technology used to restore the colors of statues and other pieces of ancient Roman art. She prompts us to wonder: what is the relationship between color and our cultural values? Why is white marble considered the epitome of beauty? What influenced this perception, and how can we challenge it? How does this reflect on the status of ourselves? Bond’s talk will raise these questions about cultural values and explore what the absence of color really means.

Dr. Sarah Bond is an assistant professor in Classics at the University of Iowa. She is a digital humanist, who is also interested in late Roman history, epigraphy, late antique law, Roman topography, and the socio-legal experience of ancient marginal peoples. Bond earned her Ph.D. in History from the University of North Carolina at Chapel Hill and her B.A. in Classics and History with a minor in Classical Archaeology from the University of Virginia. During the 2011-2012 academic year, she was a Mellon Junior Faculty Fellow in Classics and History at W&L.

This event is made possible by a grant from the Andrew W. Mellon Foundation and a Dean of the College Cohort Grant. It is co-sponsored by the Washington and Lee History Department.

Join us for a talk by one of our own!

Tuesday, October 17, 2017
12:15-1:15pm
Hillel 101
Please register

Megan Hess is an Assistant Professor of Accounting at Washington and Lee University.

Hess will discuss her latest DH ethics research project exploring the relationship between social networks and ethical leadership.  We will also look at some examples of how social network concepts such as group cohesion, information diffusion, central connectors, and brokers can be used to enrich studies of literature and history.

This event is made possible by a Dean of the College Cohort Grant. 

Join us for a talk by Alex Gil, the Digital Scholarship Coordinator of the Humanities and History Division at Columbia University Libraries.

Monday March 13, 2017
12:15-1:15pm
Hillel 101
Lunch provided, please register

The Globe is Not a Circle: The New Life of Words and the Broken Scholarly Record

In this talk, Alex Gil follows the present and possible future of our scholarly production and its uneven flows around the world.Although “the scholarly record” as a concept does not translate well into other languages, and its outlines are difficult to define, its existence is not in question. At a time when our archives and libraries are in a period of transition to hybrid registers—both analog and digital—we see a shift in the divisions of labor and interpretive frameworks resulting from these changes in the production of this record. An opening for understanding these developments and design sensible practices can be found in the idea of an *infrastructural critique* advanced by Liu, Verhoebenand as a recasting of digital humanities as a hermeneutic praxis with material consequences. In particular, Gil will argue for a form of this infrastructural critique which he and others call minimal computing.

 Alex Gil specializes in twentieth-century Caribbean literature and Digital Humanities, with an emphasis on textual studies. His recent research in Caribbean literature focuses on the works and legacy of Aimé Césaire, including work in Aimé Césaire: Poésie, théâtre, essais et discours published by Planète Libre in 2013. He has published in journals and collections of essays in Canada, France and the United States, while sustaining an open-access and robust online research presence. In 2010-2012 he was a fellow at the Scholars’ Lab and NINES at the University of Virginia. He is founder and vice chair of the Global Outlook::Digital Humanities initiative and the co-founder and co-director of the Group for Experimental Methods in the Humanities and the Studio@Butler at Columbia University. He serves as Co-editor for Small Axe: Archipelagos and Multilingual Editor for Digital Humanities Quarterly. Alex Gil is actively engaged in several digital humanities projects at Columbia and around the world, including Ed, a digital platform for minimal editions of literary texts; the Open Syllabus Project; the Translation Toolkit; and, In The Same Boats, a visualization of trans-atlantic intersections of black intellectuals in the 20th century.

As part of the DH Speaker Series, I attended the talk by University of Richmond Assistant Professors Lauren Tilton and Taylor Arnold in which they discussed data analysis and how they have used it in different ways in their digital humanities research. Lauren and Taylor’s presentation of the critical role of statistics and data analysis in DH was really interesting. They pointed out that statisticians often just throw out data without analyzing the information critically and presenting their findings in an interesting manner to a larger audience. They posed the question: how do we communicate our results to a PUBLIC audience? I think that their project, titled Photogrammar, is an awesome website that effectively communicates statistical analysis in a really cool way.

Taylor and Lauren were interested in analyzing the Library of Congress’ archive of photography from the FSA era. The photographers hired by the FSA were tasked with documenting poverty, largely in the American South, during the Great Depression and the Dust Bowl. Taylor and Lauren worked closely with the Library of Congress staff in order to turn their photographic collection into a user-friendly database. They computed the data and began to analyze the statistics. Lauren said their analysis caused a “fundamental change in our understanding of this collection” and opened up a whole news series of questions. For example, the data analysis showed that the number of FSA photos from the war era and the number from the New Deal era are actually quite similar. Many people associate the FSA photographers with the Great Depression and the New Deal, and may not even know that the FSA continued their photographic endeavor into World War II.

The database is super user-friendly and much easier to find what you are really looking for than the search engine on the Library of Congress webpage for the collection. On Photogrammar, you can find images based on the county they were photographed or even find images based on color palette. In the most recent segment of the project, Taylor and Lauren used a computer software to identify faces and certain images in a photograph, looking for repetition or patterns, in order to rebuild entire photo strips from a specific photographer’s camera. This feature is amazing because it allows the user to track the photographer’s line of vision, tying the visual images and story of their production together.

I became really interested in photography after taking a History of Photography course during my sophomore year winter term. Taylor and Lauren’s discussion of their project was so helpful because it showed me how data analysis (a term that somewhat intimidates me) can help people better understand and engage with a topic in the humanities. Photogrammar answers so many research questions, just through the different features of its interactive map of the U.S. It lets me see the main regions that Walker Evans photographed in or the counties that were photographed the most during the Dust Bowl. As Lauren and Taylor stated in their talk, photographs can tell us a lot about the culture and background of an era. Their project provides a simpler yet more interesting way of understanding these photographs and the culture that surrounded them.

-Hayley Soutter, DH Undergraduate Fellow

This program is made possible by a grant from the Andrew W. Mellon Foundation.

Visiting us from University of Richmond, Assistant Professors Lauren Tilton and Taylor Arnold will give a talk on exploratory data analysis methods, which have received limited visibility in DH. In this talk, they will give an overview of the historical developments of exploratory data analysis and statistical computing. They will show, through examples from their work on visual culture, how both have the potential to shape digital humanities projects and pedagogy.

Thursday, February 2nd, 2017
12:15-1:15
IQ Center (Science Addition 202A)
Please register

Lauren Tilton is Visiting Assistant Professor of Digital Humanities at the University of Richmond and member of Richmond’s Digital Scholarship Lab. Her current book project focuses on participatory media in the 1960s and 1970s. She is the Co-PI of the project Participatory Media, which interactively engages with and presents participatory community media from the 1960s and 1970s. She is also a director of Photogrammar, a web-based platform for organizing, searching and visualizing the 170,000 photographs from 1935 to 1945 created by the United States Farm Security Administration and Office of War Information (FSA-OWI). She is the co-author of Humanities Data in R (Springer, 2015). She is co-chair of the American Studies Association’s Digital Humanities Caucus.

Taylor Arnold is Assistant Professor of Statistics at the University of Richmond. A recipient of grants from the NEH and ACLS, Arnold’s research focuses on computational statistics, text analysis, image processing, and applications within the humanities. His first book Humanities Data in R, co-authored with Lauren Tilton, explores four core analytical areas applicable to data analysis in the humanities: networks, text, geospatial data, and images. His second book, the forthcoming A Computational Approach to Statistical Learning (CRC Press 2018), explores connections between modern machine learning techniques with connections in statistical estimation. Numerous journal articles extrapolate on these ideas in the context of particular applications. Arnold has also released several open-source libraries in R, Python, Javascript and C. Visiting appointments have included Invited Professor at Université Paris Diderot and Senior Scientist at AT&T Labs.