Institute Size & Participant Eligibility
The Building LLTDM Institute can support a total of 32 participants — up to 16 digital humanities researchers and 16 digital humanities professionals (librarians, consultants, and other institutional staff who aid researchers in text data mining research).
Due to various restrictions on funding and terms, participants must be based in the United States.
The participant selection process will focus on identifying applicants who have concrete goals for attending the Institute and a clear vision for what they hope to do within the digital humanities community after they attend. As part of this focus, we are seeking applicants who are part of existing digital humanities communities of practice or who are otherwise connected to relevant digital humanities project groups or teams, and who thus will have opportunities to share the knowledge and skills gained from the Institute and ensure their widest possible dissemination.
Where possible, we encourage participation from pairs of participants (e.g. one digital humanities researcher and one professional affiliated with that same institution, organization, or digital humanities project). Involvement from such pairs will help to support the dissemination of the literacies being taught, open up lines of communication, and encourage the implementation of new initiatives at the participants’ home institutions or equivalent affiliation.
If you are applying with a colleague from your institution (e.g. researcher/librarian pairs), please indicate the name of your colleague in your Letter of Interest. You must each submit separate applications, however.
Commitment to Diversity
The project team believes that the Institute will work best when it reflects the race and gender demographics of the broader population, and not just those of higher education–and will strive to achieve equity by reflecting these more representative demographics.
Additionally, we will work to develop a participant group that is representative of different institution types, research advising and support experience, professional roles, levels of experience with digital humanities text data mining research career stages, and disciplinary perspectives.
The selection process will take place in two rounds. First, we will do an initial screen of applications giving preference for the criteria identified below:
- Digital humanities researcher or professional
- Experience working with at least one digital humanities text data mining project
- Articulated interest in the relationship between text data mining and the law
- Articulated reason for participating in the Institute
- Clear post-Institute goals or ideas for using and sharing knowledge and skills gained
- Application as part of a researcher/professional pair
- Demonstrated commitment to diversity and equity
We will then perform a second review of applications, making final selections based on the selection criteria and diversity principles identified above.
Selected participants will receive a follow-up survey inviting them to elaborate on experience with, exposure to, and knowledge of legal issues around text data mining. They will be asked to complete this survey in advance of the Institute. The survey responses will allow instructors to tailor the curriculum to participants’ existing knowledge and interests, and to develop tracks composed of individuals with varied perspectives.