Building Legal Literacies for Text Data Mining: Call for Participants

LLTDMJoin the Building Legal Literacies for Text Data Mining (Building LLTDM) Institute June 23-26, 2020 on the UC Berkeley campus to learn how to confidently navigate United States law, policy, ethics, and risk within digital humanities text data mining projects — so that participants can more easily engage in this type of research and contribute to the advancement of knowledge.

The program will consist of how law and policy matters pertain to text data mining research, such as copyright, privacy, and ethics. It will also help participants integrate workflows for these law and policy issues into their text data mining research and professional support, practice sharing these new tools through authentic consultation exercises, and develop communities of practice to promote cross-institutional outreach about the digital humanities text data mining legal landscape.

The Institute supports 32 participants based in the United States — 16 digital humanities researchers and 16 digital humanities professionals. Digital humanities professionals are people like librarians, consultants, and other institutional staff who conduct digital humanities text data mining or aid researchers in their text data mining research. Participation from pairs of participants is encouraged (e.g. one digital humanities researcher and one professional affiliated with that same institution, organization, or digital humanities project). The Institute will be taught by a combination of experienced legal scholars, digital humanities professionals, librarians, faculty, and researchers — all of whom are immersed in the Institute’s subject literacies and workflows.

To apply, email to contact-building-lltdm@googlegroups.com a current CV and a 2 page letter of interest addressing your experience with or interest in the intersection of text data mining in digital humanities research and the law as well as your goals for how to apply the knowledge taken from the program. Applications are due December 20, 2019 by 5 p.m. PST. Selection notifications will go out in February 2020.

Visit the Building LLTDM website for more information.