Major Collaborative Projects

 

I Trust AI  SSHRC Partnership Grant (2021-2026)

A multi-national interdisciplinary project aiming to design, develop, and leverage Artificial Intelligence to support the ongoing availability and accessibility of trustworthy public records by forming a sustainable, ongoing partnership producing original research and training students, and other highly qualified personnel.

  • Principal Investigator: Dr. Luciana Duranti
  • Co-Directors: Dr. Luciana Duranti and Dr. Muhammad Abdul-Mageed
  • Associated iSchool Faculty: Dr. Jennifer Douglas, Dr. Richard Arias-Hernández, Dr. Victoria Lemieux

UBC Blockchain Research Cluster

Blockchain@UBC is Canada’s largest and most diverse research cluster devoted to blockchain technology.

  • Principal Investigator and Cluster Lead – Dr. Victoria Lemieux

UBC Designing for People Research Cluster

UBC is home to a DFP research cluster and peer network including over 60 faculty engaged in DFP research, who provide the foundational expertise for this initiative.

  • Associated iSchool Faculty: Dr. Eric Meyers, Dr. Luanne Sinnamon, Dr. Julia Bullard, Dr. Lisa Nathan, Dr. Heather O’Brien

Making Research Accessible: SSHRC Partnership Development Grant (2018-2021)

The Making Research Accessible Initiative seeks to improve access to academic research and community-generated materials with a focus on Vancouver’s Downtown Eastside (DTES). Their goal is to increase the accessibility and impact of research by providing online open-access to research with a focus on the DTES, including plain-language summaries, and work with community organizations and residents to digitize community-generated materials.

  • Principal Investigator – Dr. Heather O’Brien
  • Associated iSchool Faculty – Dr. Luanne Sinnamon, Co-PI

 

 

iSchool Faculty Research

 

Enabling deep learning for multilingual sociopragmatics – NSERC Discovery Grant (2018-2023)

This project aims at developing methods to accelerate deep learning of natural language at the level of sociopragmatics (i.e., the meaning of a proposition depends on the social context in which it is uttered). The research attempts to achieve this goal in the context of alleviating serious issues with current deep learning methods (e.g., high costs of labeling data, bias in existing labeled data, lack of diversity in most datasets). The focus of the research program is to bring language technologies to wider demographics across several languages and language varieties.

  • Principal Investigator – Dr. Muhammad Abdul-Mageed

Subject description from the margins: Indigenous and Canadian scholarship – SSHRC Insight Development Grants (2020-2022)

This project will foreground Indigenous and Canadian scholarship and research topics in how we understand subject description in information studies.


Our Own Labels: LGBT2QIA+ Representation in Catalogue Records – SSHRC Partnership Engage Grant (2021-2022)

In partnership with Out On The Shelves, this project exposes how searching for information about people like you and by people like you is an urgent and challenging task when you are part of the LGBT2QIA+ community and how standardized approaches used by libraries to make worldwide catalogues efficient and interoperable can be a barrier. This project will explore terminology more appropriate to describe and identify works by and about LGBT2QIA+ people and to create catalogue records that support users who wish to find works by and about people like themselves.