Responsible Data Science

The DSI at the University of Toronto Mississauga, DSI@UTM, leads a tri-campus initiative to encourage research activity in Responsible Data Science that includes community-building, workshops and seed funding for research.

Data science has tremendous potential to inspire positive outcomes in the world. However, there are concerns about the ethical deployment of data science techniques and the ways that the effects of data science may reify inequities and biases.

The promotion of data science requires a dedicated understanding of the power within societies and knowledge communities to ameliorate negative, unjust effects. Data science is and will continue to restructure multiple aspects of our world and it is important to maintain a commitment to questions of power, inequity, responsibility, surveillance, justice, and harm to ensure that collecting, manipulating, storing, visualizing, learning from, and extracting useful information from data is done in a reproducible, fair, and ethical way.

News & Upcoming Events

Data Science better our society
Read the full story here

In the Data and Metaverse box, Read our Story

Stay tuned for upcoming events and activities

Responsible Data Science ongoing events and opportunities

Data Digest

Informal monthly networking events featuring UTM researchers

March 7, 2024 - Digital Trace Data: Social Media and Internet Analytics
March 1, 2023 - Big Data Management
February 1, 2023 - Data and Students
January 18, 2023 - Data in our Community
December 7, 2022 - Data & Sustainability

Data and the Metaverse

Exploring the connections between virtual reality, data, and business models in social interaction spaces. Read our latest story.

Critical Investigation of Data Science

Seed funding for UofT and external funding partner researchers. Projects can vary in scope from the analysis of specific data science projects and approaches to the articulation of potential harms in data science from a broader perspective.

Data in our Communities Workshop

How data is collected, analyzed, and used (or not!) to make community decisions.

CIDS Grant Recipients

Felix Cheung (Department of Psychology, Faculty of Arts and Science, University of Toronto): “A New Standard of Equality-Focused Analysis in Well-being Science.”

David Nieborg (Department of Arts, Culture, and Media, University of Toronto Scarborough, University of Toronto): “Tracking global data flows in the app ecosystem.”

Amaya Perez-Brumer (Dalla Lana School of Public Health, University of Toronto): “Towards Data Justice: Peruvian Transgender Women-Led HIV Science Data Governance.”

Robert Soden (Department of Computer Science, Faculty of Arts and Science, University of Toronto): “Building Equity into Climate and Disaster Risk Models in the Himalayas.”