Research Groups: Institutes, Labs and Centers

Digital Curation Institute

The Digital Curation Institute (DCI) is an interdisciplinary unit at the Faculty of Information. It treats digital curation as a design question, a decision problem, a policy issue, and a concern at the intersection of an array of connected disciplines. Information professionals, researchers, and organizations have a unique opportunity to play crucial, central roles in this complex ecosystem.

Affiliated faculty members

Portrait of Professor Christoph Becker

Christoph Becker

Professor

Costis Dallas

Associate Professor Emeritus

Wendy Duff

Professor

Headshot image of Fiorella Foscarini

Fiorella Foscarini

Professor

Alan Galey

Associate Professor

Heather MacNeil

Professor

Headshot image of Seamus Ross

Seamus Ross

Professor

Recent News

Image of boxes and some data charts

Archives as Data: Envisioning the Future

A project led by Assistant Professor Jessica Lapp has been chosen as one of four initiatives to receive funding from a new institutional partnership between the University of Toronto and the University of Illinois System. Entitled “Envisioning Critical Futures for Archives as Data,” the project will be co-led by an Assistant Professor Emily Maemura of […]

Zooming in with Alumni-Taj-Rae Oliver

Zooming in with alumni: Taj-Rae Oliver

Taj-Rae Oliver is a 2023 grad in the Faculty’s newest concentration, Human-Centred Data Science (HCDS). She now works in one of today’s most exciting, constantly changing and fast-paced fields as an analyst on an AI Policy team at Public Services and Procurement Canada.  What originally inspired you to pursue your degree in information? After undergrad, […]

THE 2025 IAN P. SHARP LECTURE

Announcing the 2025 I.P. Sharp Lecture

As artificial intelligence becomes more deeply embedded in our lives, urgent questions arise about whose knowledge systems shape its design and whose are excluded. The Faculty of Information’s 2025 Ian P. Sharp Lecture will bring together two distinguished speakers to explore how AI can be shaped with respect, relationality, and responsibility, rooted in Indigenous ethical frameworks.