Notice Board

Join the School of Graduate Studies & Office of Postdoctoral Research for the third talk in our summer lecture series. We are excited to welcome Dr. Nathan Wood, post-doctoral fellow in the Human Innovation Lab and part of Dr. Daniel O’Donnell’s research group. 

All coffee breaks will begin with a 30-minute talk by a ULethbridge postdoc, followed by 15-minute Q&A session, and a 45-minute coffee break. Learn about the exciting research being done by our amazing postdoc community and perhaps forge new research connections within & beyond your department. No RSVP needed & all are welcome. While these events are targeted towards postdocs & graduate students, all members of the ULeth community are invited and encouraged to attend. 

Title: 

Mapping the Humanities Data Ecosystem

Abstract:

Will the data revolution change the way scholars work? This talk addresses this question using examples and high-level insights from Humanities Data Inquiry, a SSHRC-CRSH-funded research project at the University of Lethbridge.

Whether through analysis of artifacts and documents, or interpretation of texts and works of art, scholars make sense of the human condition by investigating the collected heritage of human culture. With the widespread emergence of large-scale digital collections, the shape of cultural collections has dramatically changed. By treating collections as data, galleries, libraries, archives, and museums are increasingly exploring the new shape of knowledge inspired by a networked ‘cultural data ecosystem.’ 

These changes have provoked widespread reflection amongst scholars. For humanities researchers these questions have taken the form of: What is the role of researchers—as stakeholders—in this evolving landscape? How does it reshape the work of scholarship? What is the work of humanities scholarship? What do humanists do?

By mapping these questions on to the evolving research data infrastructure, this talk will speak to researchers, across the disciplines, as they navigate the changing nature of data in the research enterprise.