DH Research Project Grants
In anticipation of the final year of the Digital Humanities Mellon grant, the DH@CC team has sought to support faculty from across the consortium in humanistic research that meets three criteria. First, the proposed research must employ digital methods. Second, the project must provide undergraduates with an opportunity to work directly with faculty on this research. Third, research efforts must result in a publication or conference presentation before the end of the grant period (30 September 2019). Three projects have been approved so far, and we’re in the process of soliciting additional proposals from interested faculty members.
Ulysses by Numbers
Eric Bulson | English | Claremont Graduate University
The words in James Joyce’s Ulysses have occasioned countless interpretations over the past century, so many, in fact, that one may begin to wonder if there’s really anything left to say. “Ulysses by Numbers” is one ambitious attempt to prove that there is, but instead of only reading the words on the page, it also counts them, along with the paragraphs/sentences, characters (both present and absent from the plot), first subscribers (for 1,000 copies), and the years of composition (7 total). My book intervenes forcefully in debates about the value of quantitative methods and tools in the humanities and argues that they should not be restricted only to big-data sets and distant reading practices promising to reveal hidden patterns across massive corpora. To the contrary: these same quantitative methods and tools, which include Geographic Information Systems, social network analysis, text-mining, timelines, and topic modeling, are an incredible opportunity to answer some of the most basic qualitative questions that literary critics have been asking on a smaller scale for centuries, and they have the power to let us access the structure and design of literary works in ways that would have been unthinkable even a few decades ago.
Songs Unsung from African American Los Angeles (1920-1935)
Anne Harley | Music | Scripps College
In Fall 2018 (and possible Spring 2019), three co-editors from three different institutions of higher learning will curated a prototype of a richly commented, freely available, digital online anthology of modern performing editions of approximately 4-5 unpublished art songs by Harold Bruce Forsythe (1908-1976), a Los Angeles African American composer, pianist, and author, who flourished during the 1920s and 1930s. The project will be created in Scalar, but the goal is to present this e-book to Lever Press for conversion to the Fulcrum platform. Faculty, graduate students, and undergraduate students will collaborate on the project.
DIG-ital Innovation & Text Analysis Lab
Hovig Tchalian | Drucker School of Management | Claremont Graduate University
DIGITAL: Digital Innovation and Text Analysis Lab
This proposal aims to cross the last mile of research projects in computational text analysis – getting from domain research and conceptual design to the nitty-gritty work of text and computational analysis by creating DIGITAL, Digital Innovation and Text Analysis Lab. The lab’s objective is increasing the pace of activity in text-analytic research through the ‘bottleneck’ of the last mile, while providing students an opportunity to work with faculty on substantive research.
Our project proposes to refine a method for evaluating the trustworthiness of news stories, public statements and truth claims. The research team will be working on a novel approach for judging whether statements made by public officials, enhanced by news sources and debated on social media sites, are worthy of trust. The approach recognizes both the need for, and the limitations of, public and private watchdog groups. While there are numerous truth and accuracy watchdogs, such as Politifact, they are limited in their scope and reach. Not only is the work slow and labor-intensive, it is also prone to the vagaries of contests over facts and their interpretation.
Our approach is based on a simple fact recognized in linguistics and sociology – how we say something matters as much as what we say. We therefore analyze utterances to help reveal the consistent but latent (or, hidden) patterns they exhibit. We use a combination of Natural Language Processing (NLP) and machine learning (essentially, “big data”) techniques to identify the linguistic markers consistently associated with fact-check sites’ existing truth rankings of particular statements. The ultimate objective is using the method to ‘back into’ the grounds of justification for public statements – investigating whether our concern for the trustworthiness of statements has shifted in the recent past.
Interested faculty members should contact the DH@CC Team before submitting a proposal.
Proposals should include:
- one paragraph abstract describing the scope of the project,
- proposed final outcome of the project (publication; conference presentation venue),
- timeframe for support, and
- estimated budget (line items that are appropriate for funding include student workers, training sessions, software licenses, etc.)
Please remember that all funds must be dispersed and that research efforts must result in a publication or conference presentation before the end of the grant period (30 September 2019).
Submit proposals via e-mail to the DH@CC Team.