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| Excerpt |
|---|
| Advanced Collaborative Support (ACS) is a scholarly service at HTRC offering collaboration between external scholars and HTRC staff to solve challenging problems related to HTRC tools and services. |
By working together with scholars, we facilitate computational access to HathiTrust Research Center digital tools (HTRC) as well as the HathiTrust Digital Library (HTDL) based on individual scholarly need. ACS will drive innovation at the scholar's digital workbench for enhancing and developing new techniques for use within the HTRC platform.
Calls for proposals to participate in the ACS program go out approximately once per year. For questions, please send an email to acs@hathitrust.org.
Table of Contents maxLevel 2 minLevel 2
2021 Awardees
Projects funded by the Andrew W. Mellon Foundation through the Scholar-Curated Worksets for Analysis, Reuse & Dissemination (SCWAReD) grant project.
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This project leverages HathiTrust’s U.S. Federal Documents Collection to investigate how materials produced by the U.S. federal government document shifts in terminologies of ethnoracial difference. The project will focus on the documents and materials published by the Department of Education (formerly United States Department of Health, Education, and Welfare) and related congressional documents from hearings in specialized subcommittees from 1958 until the present. It will explore how the rhetorics of ethnoracial difference overlapped with the growing allocation of federal resources to postsecondary institutions, particularly Minority Serving Institutions, in the latter half of the 20th century. The start of the National Defense Education Act in 1958 was a watershed moment that signaled the greater engagement of the federal government in higher education.The subsequent passing of the Higher Education Act in 1965, alongside amendments through the 1990s and 2000s, allocated specific federal appropriations to support colleges and universities, including Historically Black Colleges & Universities, Tribal Colleges & Universities, Hispanic Serving Institutions, and Asian American & Native American Pacific Islander Serving Institutions. The project contributes to current work focusing on the history of federal responses to higher education in the United States, and the growing visibility of Minority Serving Institutions as a valuable sector of the postsecondary sector in the United States’ higher education.
2019 Awardees
Read project updates
Building Large-Scale Collections of Genre Fiction
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This project will develop methods for automatically constructing large-scale collections of genre fiction from HathiTrust. Even, and especially, in digital libraries as large as HathiTrust, it can prove challenging to understand whether the library contains suitable representations of a chosen genre. The researchers plan to focus on collections of speculative fiction novels as a case study, but they intend their solutions to be generalizable. They will identify robust methods for correlating author-title pairs to matching volume sets in HathiTrust. Using these methods in conjunction with lists of novels that were curated by hand, they will build their collections and investigate which works are (over)represented and which are missing. They expect their project will enable scholars to better understand the suitability of studying genre fiction through HathiTrust and highlight underserved author and genre groups. Moreover, the project will result in collections of genre fiction which can be readily reused and reorganized for different lines of humanistic inquiry.
Project report: Building Large-Scale Collections of Genre Fiction: Final Report
Mapping scientific names to the HathiTrust Digital Library
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This project will create an index of all the scientific names of the Earth’s species found within the HathiTrust corpus. The index, which will likely measure in the hundreds of millions to billions of entries, will consist of a simple link between the scientific name and the volume and page location of that name within HathiTrust. The index will assist in identifying volumes that may be medically relevant, for example by identifying all of the volumes containing the scientific name for the mosquito that carries illnesses such as Zika virus (‘Aedes aegypti’). The index will also allow volumes to be grouped into clusters based on which scientific names they contain to show which taxon (e.g. “mammals”) are most common. This team of researchers has completed similar work across the data of the Biodiversity Heritage Library. Their ACS project will allow them to do cross-corpora comparisons.
Project report: Global Names and the HathiTrust: Towards comprehensive indexing of taxon names in real time
Supporting The Conglomerate Era Project
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This project furthers the researcher’s investigation into how the conglomeration of the publishing industry changed literature. The results will be included the researcher’s in-progress book titled The Conglomerate Era: A Computational History of Literature in the Age of the Agent. The project explores a set of publisher-based corpora to see whether there are distinctions in what is published by large publishing houses versus independent presses. It will make use of predictive modeling to further the researcher’s existing work to build a computational model of genre that aids in identifying latent patterns in the publishers’ editorial practices.The project will utilize methods such as genre detection through unsupervised modeling; stylistic differentiation through text classification and supervised learning via logistic regressions; and social network analysis with metadata to determine latent literary connections, especially with regard to gender and race of the author.
Project report: The Conglomerate Era Project
Deriving Basic Illustration Metadata
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This project aims at identifying all pictorial elements in educational texts from 1800-1850 to explore the interplay between progressive education and print media in the early nineteenth century. The resulting research will characterize the extent to which wood engravings and other reprographic materials were shared among educational publishers. The researcher will extract specific features from page images, such as illustration location, using advances in machine learning. The project intends to make use of the process developed to identify pictorial elements to motivate a new metadata field that describes the location and type of illustrations on the page. An ultimate goal of the project is to move toward “machine-read” texts where the data generated by classifiers and dimensionality reduction techniques are bundled as metadata with the corresponding volumes and made available to future research. (“Machine-read” is a term is borrowed from researcher Ben Schmidt.)
Project report: Derived Metadata for Early 19C Illustrations: ACS Grant Final Report
Semantic Phasor Embeddings
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This project intends to explore a novel way of abstracting and representing textual data that could aid in new ways of discovering and deduplicating items in HathiTrust, detecting and analyzing genre, or analyzing narrative analogies. The project team will investigate the utility of a certain kind of mathematical representation of text documents, called semantic phasor embeddings, that combine a mathematical structure called phasors with data from standard word embeddings (strings of numbers that represent an item). If successful, the vectors could represent documents with a tunable degree of granularity, which could provide an opportunity to share vectors representing copyright-protected without concerns about wholesale text reproduction. The vectors would also carry valuable information about the global ordinal structure of the volumes, so that the items could be queried, clustered, and visualized in a robust way that recognizes similarity not just in the content of the items, but also their structure.
2017 Awardees
Computational Support for Reading Chicago Reading
Robin Burke, John Shanahan, Ana Lucic (DePaul University)
The Reading Chicago Reading team will seek to extend their own research on the “One Book, One Chicago” city-wide reading program by incorporating textual analysis on books chosen for the OBOC program, as well as comparison texts. Further, the resulting textual analysis—including toponym extraction, sentiment analysis, and story arc detection—will be paired with library patron, circulation and demographic data to present a fuller picture about the OBOC program, and the books chosen for inclusion.
Project report: Computational Support for ‘Reading Chicago Reading’
Modeling the History of Book Design
David Bamman and Bjorn Hartmann (University of California, Berkeley)
This project will utilize the HTRC Data Capsule to conduct feature extraction on page images from 10,000 in-copyright books in the HathiTrust repository, extracting features such as page construction, line justification, leading between baselines, kerning between letter pairs/combinations, line density per page, characters per line, position of images, typeface (serif, sans-serif) and font size. Beyond the analysis and utility of the extracted feature set, this project also seeks to serve as a use case for engagement with HathiTrust/HTRC beyond books-as-strings-of-words analysis.
Project report: Modeling the History of Book Design, HTRC Whitepaper: Summary of Activities
The Power of Place: Structure, Culture, and Continuities in U.S. Women’s Movements
Laura Nelson (Northeastern University)
Dr. Nelson’s project will study the women's movement in the United States from 1848-1975 in two cities, New York City and Chicago, using new advances in network analysis and computational text analysis to identify structural and cultural diversity. This approach is three-pronged: building a workset of writing by individuals and organizations within the movements in New York and Chicago, using network analysis to measure the structure of this movement, and conducting computational text analysis to measure the underlying culture and ideas within the movement, including lexical analyses to identify distinctive words and topic modeling to identify dominant themes.
Project report: The Power of Place: Structure, Culture, and Continuity in U.S. Women's Movements
A Computational History of the U.S. Novel, 1950-2000
Richard Jean So (McGill University)
Dr. So’s project seeks to write a new history of the American novel by examining a series of large textual datasets focused on the full cycle of the U.S. literary field from production to reception to canonization. The major goal is to identify the emergence of new patterns of language, style, discourse and themes in American novels as they appear at different moments in the cycle of literary production and reception, including publication via large publishing houses such as Random House, and book reviews in major U.S. periodicals. This will be achieved through using the HTRC Data Capsule environment to undertake text analysis of full texts, including using various methods in Machine Learning and Natural Language Processing, such as topic models, word embeddings, and specialized tools such as BookNLP, which allows for the extraction of grammatical dependencies and characters.
Project report: A Computational History of the U.S. Novel, 1950-2000
Measuring Literary Novelty
Laura McGrath, Devin Higgins, and Arend Hintze (Michigan State University)
This work draws on ongoing collaborative efforts to develop a method for applying genetic sequencing tools to the study of literature in order to identify and measure literary novelty, and address questions of literary history, canonicity, and prestige. Previous results have been suggestive of a prominent connection between the purely information-based novelty of the sequences of characters that comprise literary texts, and the experimental newness we associate with modernist literary texts. Leveraging the HTRC Data Capsule will offer the potential to apply this theory at scale for the first time, and potentially lead into new research into modernism and the literary history of the 20th century.
A Writer’s Workshop Workset with the Program Era Project (PEP)
Nicholas Kelly, Loren Glass, and Nikki White (University of Iowa)
The PEP team will compile a proof-of-concept workset with, at first, prominent individuals (faculty, staff, students) who were involved with the Iowa Writers’ Workshop (IWW), then produce “style cards” for each author’s works (by volume), based on stylometric data gathered through text analysis of the IWW workset within the HTRC Data Capsule. It is the goal of the project to also create a living workset that can be continually updated for scholars who wish to engage with IWW authors and their writing.
Project report: Program Era Project
Off-Cycle project:
The Life of Words
David-Antoine Williams (The University of Waterloo)
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Project report: The Life of Words
2016 Awardees
Fighting Fever in the Caribbean: Medicine and Empire, 1650-1902
Mariola Espinosa (University of Iowa)
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Project report: Fighting Fever in the Caribbean
Inside the Creativity Boom
Samuel Franklin (Brown University)
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Project report: Inside the Creativity Boom
The Chicago School: Wikification as the First Step in Text Mining in Architectural History
Dan Baciu (Illinois Institute of Technology)
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Project report: The Chicago School: Evolving Systems of Value
Signal and Noise and Pride and Prejudice: Toward an Information History of Romantic Fiction
Dallas Liddle (Augsburg College)
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Project report: Signal and Noise and Pride and Prejudice
2015 Awardees
The Trace of Theory
Geoffrey Rockwell (University of Alberta), Laura Mandell (Texas A&M University), Stefan Sinclair (University of Alberta), Matthew Wilkens (University of Notre Dame), and Susan Brown (University of Notre Dame)
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