ÐÓ°ÉÔ­´´ University’s brightest data science minds are back in the spotlight as the –ÐÓ°ÉÔ­´´ University Data Science Challenge returns for 2026 — and this year, the competition is stepping boldly into the world of AI agents.

The annual challenge, now in its second year, has quickly become one of Ottawa’s most compelling showcases of emerging tech talent. Organized in partnership with ÐÓ°ÉÔ­´´â€™s Data Science and Analytics Institute (DSAI), the competition invites undergraduate and graduate students to design intelligent systems capable of spotting financial anomalies — the kinds of subtle irregularities that can signal fraud, risk, or deeper issues inside complex financial data.

If last year’s challenge was about proving what students could do with advanced analytics, this year is about pushing them into the next frontier of AI.

Continue reading the Ottawa Life Magazine post .

The competition launched on May 28 with a lecture by Dr. Aras Kayvan, Senior Data Scientist at MindBridge, who introduced students to outlier analysis—a key concept in identifying unusual patterns in large datasets. From there, students were tasked with designing code-based solutions that balanced technical rigor, creativity, and clarity of insight.

Congratulations to Amin Nabavi, a Ph.D. student in the DSAAI program, who finished first place, who earned a MacBook Pro and a guaranteed interview for a paid internship at MindBridge. Second place was awarded to Mohammad Reza Zarei, a Ph.D. student in the Computer Science program, and third to Ahmed Elnimah—both of whom also received tech prizes and internship interviews.

Please visit the Ottawa Life website for more information on the MindBridge Data Science Challenge.

As the European Union leads the way in AI regulation with its landmark AI Act, Canada faces critical decisions on shaping its own AI governance framework. This event will explore the key aspects of the EU’s regulatory approach, and the lessons Canada can draw from it. Legal and policy experts will discuss whether the EU’s model offers a viable path for Canada’s own rules or if alternative strategies are needed.

Presenters:

• ,ÌýProfessor, Faculty of Law, University of Ottawa
• , Professor, Faculty of Law, University of Ottawa
• , Associate Professor, Department of Geography, McGill University

The event takes place on April 1, 2025 from 9:30am – 11:00am (EST). To learn more about this event, and to register, please visit the Centre for European Studies website.

Data Day 11.0: Empowering Tomorrow: Quantum Computing Meets Data Science and Machine Learning

Data Day 11.0 will focus on Empowering Tomorrow: Quantum Computing Meets Data Science and Machine Learning. In keeping with this theme, the event program includes panel discussions on quantum computing, data science, machine learning, and new workforce skills trends.

Jointly hosted by the Faculty of Science and the ÐÓ°ÉÔ­´´ 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 ÐÓ°ÉÔ­´´ 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.

Annual Computer Science end of year BBQ

March 28, 2024 at 5:30 PM

The School of Computer Science (SCS) and ÐÓ°ÉÔ­´´ Computer Science Society (CCSS) welcomes ALL students, faculty, retired faculty, staff & CS alums in Computer Science, HCI, Data Science Specialization, and DSSAI to our annual end of year BBQ on Thursday, March 28th at 5:30 pm. For more event details and to purchase a ticket, please click .

Data Day includes presentations by ÐÓ°ÉÔ­´´ 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.

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

Data Day 10.0 will focus on The Next Decade for Data Science. In keeping with this theme, the event program includes sessions on explainable AI, data science and heath care, and data science and the environment.

• An updated CV
• An updated LinkedIn profile
• Worksheets and key takeaways with all of the information shared
• A certificate of Workshop Day completion

Workshop Day is part of ÐÓ°ÉÔ­´´ University’s Faculty of Engineering and Design’s Women in Engineering & IT (WiE&IT) Program and is brought to you through a partnership with Ìý²¹²Ô»åÌý.

To register please click here: Workshop Day | Faculty of Engineering and Design (carleton.ca)

If you have questions about the event, please contact our Program Administrator at:Ìý·É¾±±ð@³¦²¹°ù±ô±ð³Ùon.ca.