by Sara Elhawash In today’s data-driven world, organizations face the challenge of effectively utilizing data to advance their work. Through new research funding awarded to the Data Sciences Institute (DSI) by

by Sara Elhawash In the nuanced landscape of patient care, unlocking valuable insights is dependent on navigating the vast realms of data. However, what if the data is neither easily accessible

New professional certificates in Data Science and Machine Learning Software Foundations, launched by U of T’s Data Sciences Institute and powered by Upskill Canada, will prepare workers for success in these

by Sara Elhawash When purchasing foods, many consumers give food labels cursory scans, taking in information such as calorie levels or sodium content. Why is streamlining this process crucial from a

By Kate Baggott  “Causal inference is hard.”   That’s not a conclusion. It’s an observation Rahul G. Krishnan was brave enough to make at the Forging a Path: Causal Inference and Data

Data Science for an Effective Workforce Panel DSI Research Day, featuring from left to right: Lisa Strug, DSI Director, Dana Ohab, Associate Partner, Digital & Emerging Technology, EY, Ann Meyer, Director, BioInnovation Scientist Program, adMare BioInnovations, Mark Fiume, Co-Founder & CEO, DNA Stack, and Yves Jaques, Chief, Frontier Data & Tech Unit, UNICEF. Photo: Hary Choi.