Making Meaning from Data (Joint SCS/AIA Panel)
|December 10, 2014||Posted by admin under Uncategorized||
On Sunday, January 11, 2015 at the SCS/AIA meeting in New Orleans, the Digital Classics Association will host a panel on “Making Meaning from Data” from 8-11am. The session may be of interest to forum members.
“Big data” is becoming increasingly significant in classics. Archaeologists can now generate vast amounts of digital information. Online repositories for the study of geography, prosopography, poetry, and other areas continue to appear, along with new protocols and tools for exploring them. This panel addresses the changing research environment with presentations that show how we can make meaning from our data, and so develop new and integrated perspectives on the classical world.
1. Elton Barker, The Open University; Pau de Soto, The University of Southampton; Leif Isaksen, The University of Southampton; and Rainer Simon, The Austrian Institute of Technology
What Do You Do with a Million Links? (20 mins.)
2.Marie-Claire Beaulieu, J. Matthew Harrington, and Bridget Almas, Tufts University
Beyond Rhetoric: the Correlation of Data, Syntax, and Sense in Literary Analysis (20 mins.)
3. Francesco Mambrini, Deutsches Archaeologisches Institut Berlin, and Marco Passarotti, Università Cattolica del Sacro Cuore, Milan
Trees into Nets: Network-based Approaches to Ancient Greek Treebanks (20 mins.)
4. Rachel Opitz, University of Arkansas; James Newhard, College of Charleston; Marcello Mogetta, Freie Universität Berlin; Tyler Johnson, University of Arkansas; Samantha Lash, Brown University; and Matt Naglak, University of Michigan
Inside-out and Outside-In: Improving and Extending Digital Models for Archaeological Interpretation (20 mins.)
5. Joseph P. Dexter, Harvard University; Matteo Romanello, Deutsches Archaeologisches Institut Berlin; Pramit Chaudhuri, Dartmouth College; Tathagata Dasgupta, Harvard University; and Nilesh Tripuraneni, University of Cambridge
Enhancing and Extending the Digital Study of Intertextuality (20 mins.)
Respondent: Neil Coffee, University at Buffalo, State University of New York (10 mins.)
General discussion (40 mins.)