- $100,000
Digging into Image Data to Answer Authorship Related Questions
Recipient: Rehberger, Dean (East Lansing, MI 48824 USA) in affiliation with Michigan State University
Goal: This project will pursue research using advanced computational techniques to explore humanities themes related to the authorship of large collections of cultural heritage materials, namely 15th-century manuscripts, 17th- and 18th-century maps, and 19th- and 20th-century quilts. The project team includes staff from Michigan State University, the University of Illinois, Urbana-Champaign, and the University of Sheffield.
Description: An international, multi-institutional and multi-disciplinary team of researchers from the University of Sheffield (UoS), UK; Michigan State University (MSU), MI, USA; and University of Illinois at Urbana-Champaign (UIUC), IL, USA jointly propose the exploration of authorship across three distinct but in some respects complementary digital dataset collections: 15th-century manuscripts, 17th- and 18th-century maps and 19th- and 20th-century quilts. The datasets, freely available to the investigators, represent very large and diverse collections of digitized scans or photographs in standard image file formats. The US team will consist of members from UIUC (applying to NSF) and MSU (applying to NEH). The UIUC team led by Peter Bajcsy (as US NSF project director), the MSU team led by Dean Rehberger (as US NEH project director), and the UK team led by Peter Ainsworth (as UK JISC project director). The topic of authorship serves as a common question at the intersection of humanities, arts and social sciences research that unites the proposed exploration of image analyses.
Grant: 200400 / HJ-50001-10, Category: Interdisciplinary, Division: Digital Humanities, Year Awarded: 2010 - $100,000
Towards Dynamic Variorum Editions
Recipient: Crane, Gregory R (Medford, MA 02155-5500 USA) in affiliation with Tufts University (Medford, MA 02155 USA)
Goal: This project supports the creation of a framework to produce "dynamic variorum" editions of classics texts that enable the reader to automatically link not only to variant editions but also to relevant citations, quotations, people, and places that are found in a digital library of more than one million primary and secondary source texts. The project team includes members from Tufts University, the University of Massachusetts, Amherst, Imperial College, London, and Mount Allison University.
Description: Building upon collaborations between computer scientists and classicists across three countries, we propose to build a framework that combines emerging technologies and large collections to provide for every surviving Greek and Latin author scalable, sustainable information that can exceed the breadth of traditional bibliographic databases for an entire field and the depth of traditional variorum editions for individual authors and works. We can furthermore identify patterns in the changing reception of and scholarship about Greco-Roman antiquity with greater power and flexibility than was feasible with traditional methods. The work proposed here will demonstrate and analyze the significance of these new methods. Our hypothesis, based on years of development with smaller collections, is that we can now see a wholly new generation of services that better address the most traditional goals of scholarship, are customizable to the needs of far broader audiences, and are much more practical to maintain over time.
Grant: 200412 / HJ-50013-10, Category: Interdisciplinary, Division: Digital Humanities, Year Awarded: 2010 - $100,000
Using Zotero and TAPoR on the Old Bailey Proceedings: Data Mining With Criminal Intent
Recipient: Cohen, Daniel J (Fairfax, VA 22030 USA) in affiliation with George Mason University
Goal: This project will develop tools and models for comparing, visualizing, and analyzing the history of crime, using the Old Bailey Online, which contains extensive court records of more than 197,000 individual trials held over a period of 240 years in Great Britain. The team is composed of scholars from George Mason University, the University of Hertfordshire, and the University of Alberta.
Description: The With Criminal Intent project will create an intellectual exemplar for the role of data mining in an important historical discipline–the history of crime–and illustrate how the tools of digital humanities can be used to wrest new knowledge from one of the largest humanities data sets currently available: the Old Bailey Online. It will create a seamlessly connected environment, the Newgate Commons, in which scholars can use data mining techniques to select themed texts from the 120 million words of trial records contained in the Old Bailey, and employ these texts as the basis of a study collection in Zotero where they will in turn be available for analysis using TAPoR tools (including quantitative text analysis and visualization). In the process, this project will showcase the integration of online textual resources with bibliographical and analytical tools emerging from Digital Humanities.
Grant: 200447 / HJ-50048-10, Category: Interdisciplinary, Division: Digital Humanities, Year Awarded: 2010 - $99,493
Railroads and the Making of Modern America -- Tools for Spatio-Temporal Correlation, Analysis, and Visualization
Recipient: Thomas, William G (Lincoln, NE 68588-0327 USA) in affiliation with University of Nebraska, Board of Regents (Lincoln, NE 68588-0430 USA)
Goal: This project will integrate a vast collection of textual, geographical, and numerical data about the railroad and its impact on society over the centuries, concentrating initially on the Great Plains and Northeast United States. The project team is comprised of humanities scholars and computer scientists from the University of Nebraska, Lincoln, and the University of Portsmouth.
Description: This project aims to integrate large-scale data sources from the Digging into Data repositories with other types of relevant data on the railroad system, already assembled by the project directors. Our project seeks to develop useful tools for spatio-temporal visualization of these data and the relationships among them. Our interdisciplinary team includes computer science, history, and geography researchers. Because the railroad "system" and its spatio-temporal configuration appeared differently from locality-to-locality and region-to-region, we need to adjust how we "locate" and "see" the system. By applying data mining and pattern recognition techniques, software systems can be created that dynamically redefine the way spatial data are represented. Utilizing processes common to analysis in Computer Science, we propose to develop a software framework that allows these embedded concepts to be visualized and further studied.
Grant: 200427 / HJ-50028-10, Category: Interdisciplinary, Division: Digital Humanities, Year Awarded: 2010 - $99,244
Digging Into the Enlightenment: Mapping the Republic of Letters
Recipient: Edelstein, Dan (Stanford, CA 94305-4015 USA) in affiliation with Stanford University (Stanford, CA 94305 USA)
Goal: This project will focus on a body of 53,000 18th-century letters and analyze the degree to which the effects of the Enlightenment can be observed in the letters of people of various occupations. The project is lead by humanities scholars, librarians, and computer scientists from Stanford University, the University of Oklahoma, and Oxford University.
Description: The Digging Into the Enlightenment: Mapping The Republic of Letters project is a collaborative effort between humanities scholars and computer scientists at Stanford University and the University of Oklahoma in the United States, and at the University of Oxford in the United Kingdom. Our research hypothesis is that we can revolutionize the practice of interpretive research in the humanities by integrating innovative visualization and annotation techniques into highly interactive tools for excavating and dissecting details about people, places, times, and relationships in large data sets. Our project focuses on the Electronic Enlightenment (EE), a University of Oxford collection currently containing more than 53,000 letters. The goal of the project is thus to develop new visualization techniques and tools that support research into the "Republic of Letters" by facilitating interpretation of the complex data sets that have been materialized from this predominantly textual archival collection.
Grant: 200455 / HJ-50056-10, Category: Interdisciplinary, Division: Digital Humanities, Year Awarded: 2010 - Endowment for the humanities grants to program Digging into Data; items 1-5 of 5 with a total funding of $498,737.