News archive - May 2018

Wednesday, May 16, 2018

Students win $25,000 at the Waterloo Data Open

Winning teams with the judges and Correlation One and Citadel representatives

Photography by Jon White

Over 100 undergraduate and graduate students gathered in Mathematics 3 early Saturday morning to tackle large datasets at The Data Open, a competition that brings together the best minds in mathematics, engineering, science and technology to collaborate and compete using the world’s most important data sets. Students received the data sets at 8:00 a.m. and, in teams of three to four, had until 3:30 p.m. to analyze the data, extract meaningful insights, and propose solutions to a socially impactful problem.

Wednesday, May 9, 2018

Celebrating 2nd annual DataFest competition at the University of Waterloo

DataFest Participants

While challenging, DataFest 2018 was an incredibly rewarding experience that taught us about the nuances of real world data, resilience and the power of team work

Yuan Yuan Mandy Gu, Statistics and Pure Math student. Winner of the 'Munich Re Best Insight' award

Over 100 undergraduate students spent 48 hours on campus analyzing and applying data as they competed in the 2018 ASA DataFest competition this past weekend. Worldwide, more than 2,000 students participate in this competition at several of the most prestigious colleges and universities.

For two consecutive days, students worked around the clock to put their data analysis skills to the test with more complex data than what they would normally be exposed to in class. Once the data is analyzed, groups had only two slides and five minutes to convince the judges that the conclusions they drew from the data were deserving of one of three titles: Munich Re Best Insight, Best Use of External Data, or Best Data Visualization.

Wednesday, May 2, 2018

Navigating data and solving problems through collaboration

Stefan Steiner

Imagine analyzing 10 trillion data points, from a variety of sources, collected at an extremely fast rate. The data can help address business challenges companies faces every day, and possibly even predict client behavior– but you’re not sure where to start. How do you sift through the data that’s available to you, and draw out just the information you need?