On April 25, 2023, experts from academia and industry gathered to explore the latest developments in data science and analytics at Carleton University’s Data Day, hosted by the Faculty of Science and the Carleton University Institute for Data Science (CUIDS).
This year’s event, Data Day 9.0, focused on the data-driven economy and featured engaging presentations and panel discussions on disruptive AI, data science research and technology, as well as transparency, trust and accountability in the financial sector.
Sprott School of Business Dean Dana Brown moderated a panel on data science research and technology. The panelists included Sprott’s Mohamed Al Guindy, assistant professor of finance, who gave a presentation on his most recent research on the relationship between social media discussions and financial markets.
Using AI technology to analyze hundreds of millions of financial tweets, Mohamed has developed a tool that identifies linkages between unrelated firms, predicts economic shocks and predetermines the impact of intervention efforts. He has named this tool the Social Internetwork of the Economy or Social Internetwork.
Being here (data day 9.0) is a great opportunity to showcase not only my research but the research of other professionals and to see how we can use data to improve the economy that we see today.- Mohamed Al Guindy, Sprott School of Business
Being here (data day 9.0) is a great opportunity to showcase not only my research but the research of other professionals and to see how we can use data to improve the economy that we see today.
The panel also featured Elizabeth Stobert, assistant professor and human-computer interaction program co-director in the School of Computer Science, and Dave Campbell, professor in the Schools of Mathematics and Statistics and Computer Science at Carleton University, and assistant director of data science applications at the Bank of Canada.
Data Day also featured a poster competition that showcased interdisciplinary data science research by Carleton graduate students.
Sprott students enrolled in the Data 5000 course partnered with other graduate students in various disciplines to conduct research projects.
Deepro Sengupta, Sprott MBA candidate pursuing a concentration in Business Analytics, collaborated with Mohamed Elbetagi, PhD candidate in the Department of Physics, and Atamson Atam, a graduate student in the Normal Paterson School of International Affairs.
The team placed third in the Data 5000 category of the competition for their poster on their research project. “Twitter Troll Detection: A Language Model.” Through this research, the team analyzed different language models used to detect and flag negative and attacking activity on Twitter.
Sprott PhD in Management candidate Harika Tuzcuoglu attended this year’s conference. Supervised by Mohamed Al Guindy, her research focuses on connecting AI with finance, specifically using Twitter text data. She had a poster in the data science poster competition at last year’s Data Day through the Data 5000 course.
“The Data 5000 course gave me a more hands-on experience with machine learning algorithms and artificial intelligence. This led me to the research I am doing in my PhD because I discovered how much I liked certain data models.” Harika Tuzcuoglu, Sprott PhD in Management candidate
Next year’s Data Day 10.0 has been set for March 26, 2024.