Past Event! Note: this event has already taken place.

Data Day 5.0

March 27, 2018 at 8:00 AM to 6:00 PM

Location:Atrium Richcraft Hall
Cost:Free
Audience:Anyone
Key Contact:Laura Gong
Contact Email:lauragong@cunet.carleton.ca

Hosted by the Institute for Data Science, Data Day is an annual conference held in early spring that celebrates the latest developments in data science and analytics research within Carleton University, the local community and Canada. Our fifth annual Data Day will be held on Tuesday March 27th, 2018 at Carleton University. The event will include presentations by Carleton researchers, government and industry experts, keynote addresses, and panel discussions. In addition, there will be a speed networking session where Carleton students will be able to meet and network with industry. Running concurrently will be a poster competition to showcase graduate student research in data science and analytics across all disciplines.

This year’s Data Day 5.0 panels will focus on the themes below:

  1. E-commerce, big data and societal change
  2. Artificial intelligence and machine learning
  3. Authoritative data in a big data era

Data Day is open to all data science and analytics enthusiasts, regardless of affiliation to Carleton University. In previous years, our attendees have been equally spread between the public and private sectors and the Carleton community. This blend of academia and industry creates an ideal environment for multidisciplinary collaboration and networking.

This event is free and open to the public but registration is required and space is limited. Refreshments and a buffet lunch are included. You won’t want to miss this!

More exciting details, program agenda and updates to come later this month. For questions, please contact cuids@carleton.ca.

Schedule

Time

Activities

8:00 am Check-in and Registration
8:30 am Official welcome – Rafik Goubran (Carleton VP of Research and International)

Update of CUIDS – Frank Dehne (CUIDS)

9:00 am- 10:30 am First Panel Session: E-commerce, Big Data and Societal Change
Keynote: Cameron Davidson-Pilon (Shopify)
Moderator: Blair Patacairk (Invest Ottawa)
Panelists:
1. Hugh Cairns (SAS and Carleton Sprott School of Business)
2. Hollis Bowman (Napkyn)
3. Gustavo Frederico (Thinkwrap)
10:45 am-12:15 pm Second Panel Session: Artificial Intelligence and Machine Learning
No keynote
Moderator: Eli Fathi (Mindbridge)
Panelists:
1. Sreeraman Rajan (Carleton Department of Systems and Computer Engineering)
2. Ana-Maria Cretu (Carleton Department of Systems and Computer Engineering)
3. Isar Nejadgholi (IMRSV)
4. Tony White (Carleton School of Computer Science)
5. Tara Denham (Global Affairs)
12:30 pm-2:00 pm Lunch and Graduate Poster Competition

Two themes for the Graduate Poster Competition:
1. Science and engineering
2. Human sciences and business

2:15 pm-3:45 pm Third Panel Session: Authoritative data in a big data era
Keynote: Anil Arora (StatsCan)
Moderator: Tracey Lauriault (Carleton School of Journalism and Communications)
Panelists:
1. Danil Zburivsky (Pythian)
2. Jean-René Drapeau (Receiver General)
3. Marija Mijalkovic (IBM)
4. Amber Lannon (Carleton Library)
5. Sandra Robinson (Carleton School of Journalism and Communications)
4:00 pm-4:15 pm Reception, announcements and thank-you
4:15 pm-6:00 pm Speed dating and recruiting session