Department of Computer Science faculty members are among this year’s recipients of Catalyst Grants from U of T’s Data Sciences Institute (DSI).
Catalyst Grants are awarded to multidisciplinary collaborative research teams focused on harnessing the transformative nature of data sciences.
The grants are given to teams working on the development of novel statistical or computational tools or the use of existing methodology in innovative ways to address questions of major societal importance and effect positive social change.
Each grant is valued at up to $100,000 for one to two years.
The awarded proposals include:
Professor Suzanne Stevenson
A computational sociolinguistic approach for studying gender inequities in social media interactions
Suzanne Stevenson (Department of Computer Science, U of T); Barend Beekhuizen (Department of Language Studies, University of Toronto Mississauga)
Assistant Professor Ishtiaque Ahmed
Toward reducing harmful contents on social media with pluralistic justifications through community-powered AI
Ishtiaque Ahmed (Department of Computer Science, U of T); Shion Guha (Faculty of Information, U of T ); Shohini Bhattasali (Department of Language Studies, University of Toronto Scarborough)
Assistant Professor Rahul G. Krishnan
DynaMELD and DynaCOMP: Using machine learning to revamp pre-and-post transplant care
Rahul G. Krishnan (Department of Computer Science, U of T); Mamatha Bhat (Toronto General Hospital Research Institute, University Health Network)
Professor Peter Marbach
The rise of social media and the transformation of influence: Joining foundational sociological theory and data science to rethink influence in social systems
Peter Marbach (Department of Computer Science, U of T); Vanina Leschziner (Department of Sociology, Faculty of Arts & Science, U of T); Daniel Silver (Department of Sociology, University of Toronto Scarborough)
Assistant Professor Bo Wang
A high-throughput data and AI-driven mRNA transfection (HART) platform for immune cell engineering
Bowen Li (Leslie Dan Faculty of Pharmacy, U of T); Bo Wang (Department of Laboratory Medicine and Pathobiology Temerty Faculty of Medicine, U of T)
Assistant Professor Babak Taati
Automating sedation state assessments
Project co-funded by T-CAIREM
Aaron Conway (Lawrence S. Bloomberg Faculty of Nursing, U of T); Babak Taati, Toronto Rehabilitation Institute, KITE, University Health Network); Sebastian Mafeld (Toronto General Hospital Research Institute, University Health Network)
The Data Sciences Institute (DSI) at the University of Toronto is a central hub and incubator for data science research, training and partnerships whose mission is to accelerate the impact of data sciences across disciplines to address pressing societal questions and drive positive social change.
Original story by Chris Sasaki for Arts & Science News