The Data Challenge will bring together three competitive events, Data Visualization (7th Annual), Data Analytics (3rd Annual), and Data Sprint (3rd Annual) on Nov. 18, 2022 in a hybrid format - virtually and in-person! Take up the challenge and demonstrate the power of data, with the flexibility to take part remotely.
Participants and teams will have the chance to showcase their ability to tell a story driven by data in three unique competitive formats. Teams can participate in all three competitive events. It is an ideal setting for citizens to get engaged, to meet leaders in academia, government, and private organizations, and to explore the world of data science.
Every participant must meet the below pre-requisites to take part in the 2022 Data Challenge successfully. The competition is not restricted to students.
The Data Challenge will take place on Nov. 18, 2022 in-person at the Wu Conference Centre. All teams in the Data Visualization & Data Analytics tracks will present in the morning, and finalists will present after lunch. Data Sprint participants will only have one chance to present in the afternoon.
Teams have the option to participate virtually via Microsoft Teams. Based on the competition schedule, online teams will hop on the meeting link and tell their data story to a panel of judges.
Teams will assess and analyze data related to one of the 17 goals of the 2030 Agenda for Sustainable Development and present to an audience to communicate a recommendation, story, or new idea. This allows for better decision-making and more varied solutions to problems that span a wide range of social, environmental, and economic topics.
Each team will be required to present their data story to a panel of judges through data visualizations (charts, graphs, etc.) using any software (PowerPoint, Tableau, Keynote, etc). Participants will need to share their screen on Microsoft Teams and present to a panel of judges.
Your infographic posters will be showcased at the event venue. You will not be presenting your infographic posters.
Register now (complete by 11:59 p.m. Nov 1, 2022)
Teams will get to put their analytical skills to the test and present their insights to an audience. Teams must choose one of the five data sets provided one month before competition (Oct. 21). What insights are you able to discover? How well can you separate the useful information from the "noise"? What outcomes are you able to predict? What are your recommendations?
Each team is required to present their data insights to a panel of judges explaining how they arrived at those insights through a data analytics platform of choice. Teams must be able to convey their complex analysis as simply as possible, and tell a story.
You will need to present your analysis to a panel of judges. During your presentation you must show all the steps, tests, justifications and decisions you took to arrive at your insight or prediction. Will the problem be clearly articulated? Will the null hypothesis testing be stated properly? Do you have a clear rationale for the choice of a statistical method and have you checked for normality or variance? Is there any consideration of privacy and ethical issues? Are the charts used appropriately?
You must be able to explain to a lay person these steps in a clear and concise manner. You may use any method for displaying your analysis, for example Jupyter Notebook, PowerPoint or in SPSS or STATA directly so long as you are able to display this through Microsoft Teams.
Using only three sentences, how much curiosity can you generate for your presentation? The teaser-posters will be shared with the judges before the competition and showcased at the venue. You will not be presenting them.
Register now (complete by 11:59 p.m. Nov 1, 2022)
This fun hackathon-style competition will put your data skills to the test in a time-tied scenario. There is little preparation required as the data set will be provided on Nov 11, 2022, one week ahead of the event date. Can you tackle a data set with speed, accuracy and creativity? Choose your teams wisely!
One data set will be released to all registered teams a week in advance. All teams will get one chance to present their findings to a panel of data experts, so speed, accuracy, and creativity all count!
Similar to the analytics track, you must be able to explain to a lay person these steps in a clear and concise manner. You may use any method for displaying your analysis, for example Jupyter Notebook, PowerPoint or in SPSS or STATA directly so long as you are able to display this on your laptop or Microsoft Teams (if you are a remote participant). At least one team member will be required to attend a pre-event Q&A with the ringmaster on Nov. 15.
How quickly can a complex data set be analyzed and presented in a meaningful way?
Register now (complete by 11:59 p.m. Nov 1, 2022)
Receive promotional opportunities and benefits by becoming a sponsor. See our sponsorship package and get in touch with ibec@unb.ca for more information.