Data Day 7.1: AI: What’s Next? and Everything Smart

Mark your calendars for Data Day at Carleton University!

Registration for Data Day 7.1 is now open to the public.

Please visit science.carleton.ca/data-day to register, and for more event details.

Data Day 7.1 Banner with Event Details

On Tuesday, March 30, 2021 the Faculty of Science and Carleton University Institute for Data Science will host the university’s seventh annual celebration of all things data, Data Day 7.1: AI: What’s Next? and Everything Smart.

We invite you to join us for this full-day free virtual event, which will include panel sessions and research vignettes, a graduate student poster competition, and networking opportunities.

Data Day 7.1 will bring together experts from government, academia and industry to explore the latest developments in data science and analytics research, and discuss topics related to this year’s themes:

  • Artificial intelligence
  • Data governance
  • Smart technology
  • Big Data
  • COVID-19

For questions, please contact odscience@carleton.ca.

Call for Abstracts!

On behalf of the Data Day organizing team, we invite you to submit an abstract to present your research at Data Day 7.1: AI: What’s Next? and Everything Smart!

The deadline for abstract submission is March 11, 2021, and can be sent directly to odscience@carleton.ca along with the student consent form.

Please see the guidelines for more information on posters and abstracts.

Selected presenters will be invited to upload a digital version of their poster (PDF or PPT format) to the event space prior to the event, along with the option of joining the virtual poster fair and presenting/answering questions live. During Data Day, attendees and judges will be able to virtually visit all posters and submit questions to the presenters through the chat function on each poster page.

At the end of the event, the winners of the poster competition will be announced. Cash prizes will be awarded to the top posters!

See how Data Day has evolved over the years: