Jointly hosted by the Faculty of Science and the Carleton University Institute for Data Science (CUIDS), Data Day is an annual conference that celebrates the latest developments in data science and analytics research.

Data Day includes presentations by Carleton researchers and industry experts, a keynote address, panel discussion and networking opportunities, as well as a poster competition to showcase graduate student research in data science across all disciplines.

Data Day 9.0: The Data-Driven Economy

March 28, 2023 at Richcraft Hall, Carleton University

Don’t miss our ninth annual Data Day, a must-attend event for those studying or working in data science, analytics and related fields!

Data Day 9.0 will focus on The Data-Driven Economy. In keeping with this theme, the event program includes a plenary session on disruptive AI, a data science research topics and technology session, as well as a policy-driven session on transparency, trust and accountability in the financial sector.

Event Program

Registration always fills up fast, so claim your seat now using the link below!

Data Day 9.0 Poster Competition

Data Science students: don’t forget to submit your abstracts via the online submission portal by March 16 in order to take part in the student poster competition and have a chance to win great cash prizes! Complete details about the poster competition can be found here:

Social Media 

To join the conversation, tag @CarletonScience and @CU_DataScience or use #DataDay9 in your posts!


Register today! →

Data Day 9.0 Speakers

Program - Data Day 9.0: The Data-Driven Economy

March 28, 2023 at Richcraft Hall, Carleton University

8 to 9 a.m. | Poster setup, registration, coffee

9 to 9:30 a.m. | Welcome remarks and CUIDS update

Data Day Host: Dr. Chris Lannon, Director, Industry and Partnership Services, Carleton University

  • Benoit-Antoine Bacon, President and Vice-Chancellor, Carleton University
  • Maria DeRosa, Dean of Science, Carleton University
  • Olga Baysal, Director, Institute for Data Science, Carleton University

9:30 to 10:30 a.m. | Plenary Session – Disruptive AI and its Economic Impact

Moderator: Maria DeRosa, Dean of Science, Carleton University


  • Robin Grosset, Chief Technology Officer at Mindbridge AI
  • Andrew Price, Principal Data Architect at Amazon Web Services

10:30 to 11 a.m. | Coffee Break and Poster Viewing

11 a.m. to 12:30 p.m. | SESSION 2: Data Science Research Topics and Technology

Moderator: Dana Brown, Dean, Sprott School of Business, Carleton University


  • Mohamed Al Guindy, Assistant Professor (Finance), Sprott School of Business, Carleton University
  • Elizabeth Stobert, Assistant Professor and Human-Computer Interaction Program Co-Director (School of Computer Science), Faculty of Science, Carleton University
  • Dave Campbell, Professor (Math/Stats and Computer Science) at Carleton University, and Assistant Director (Data Science Applications) at the Bank of Canada

12:30 to 1:30 p.m. | LUNCH

1:30 to 3 p.m. | Poster Competition

3 to 4:30 p.m. | SESSION 3: Transparency, Trust, and Accountability in the Financial Sector

Moderator: Tracey P Lauriault, Associate Professor (Critical Media and Big Data), School of Journalism and Communications, Faculty of Public Affairs, Carleton University


  • Alexandra Cutean, Chief Research Officer (CRO), Information and Communications Technology Council
  • Charl Ackerman, Acting Director of Policy, Payments Canada
  • James Cohen, Executive Director Transparency International Canada
  • Dinesh Shah, Director, Financial Technology Research, Bank of Canada

4:30 to 6 p.m. | Poster Awards Announcement and Networking Reception

Why Data Science at Carleton?

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