The Data Challenge will bring together three competitive events, the Open Data Visualization (6th annual), Data Analytics (2nd Edition), and Data Sprint (2nd Edition) on November 19, 2021 in a hybrid format - virtually & 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 2021 Data Challenge successfully. The competition is not restricted to students.
The Data Challenge will take place on November 19, 2021 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.
Teams have the option to participant 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 neither be presenting your infographic posters or required to be showcase them.
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 (available now). 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 within 10 mins followed by a 10 min Q&A period. During your presentation you must show all the steps, tests, justifications, and decisions you took to arrive at your insight/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 your 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 3 sentences, how much curiosity can you generate for your presentation? The teaser-posters will be shared with the judges before the competition. You will neither be presenting your teaser-posters or required to showcase them.
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 provided on Nov 18, 2021, one day 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 day 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).
How quick can a complex data set be analyzed and presented in a meaningful way.
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