Data for Good Waterloo Region + Social Media datathon

Description

Details

Join Data for Good Waterloo Region for our first ‘Social Media Datathon,’ as we investigate the impact of Twitter on local non-profits around the KW region.

This is our first competition, with the winning team receiving prizes, winner’s certificates, and bragging rights!

In this datathon competition, you will analyze real Twitter data from almost 100 non-profits in the Waterloo Region to answer questions such as which posts make the maximum impact, whether the sentiment of the post has an impact on engagement, which keywords most captivate Twitter followers.

This analysis is valuable to non-profits who need to keep their followers, volunteers and donors engaged with their organization to ensure they can keep supporting our community. We will be inviting select non-profits to attend the results presentations, with many interested in a summary of the key insights!

HOW IT WORKS

Survey will be coming shortly

This is a 100% virtual event, spread out across a week.

Teams of 4-5 volunteer data scientists will work together to solve the Social Media challenge statements. Over the course of a week, you will perform data analytics and discover insights. We will meet remotely on Saturday 23rd October, when each team will present their findings to the judges, and a winner will be declared.

It's an excellent way to contribute your data science skills to help your community, and to learn from your fellow data science practitioners!

SCHEDULE

This event is in EST.

Rough schedule for the week: Saturday 16th October: 9am – 12pm: Volunteer data scientists log into a Google Meet link: https://meet.google.com/vru-secm-bir

The Data for Good team will review the business problem, walk through the data and answer questions. Saturday 16th October – Friday 22nd October: Data analysis with your team! Saturday 23rd October 9am - 12pm: Presentation and Judging. Log in here:

https://meet.google.com/vru-secm-bir

Saturday 23rd October: 12pm: Winner declared!

LEARN MORE!

To learn more about the Datathon process, check out the following materials from our previous events: - What to expect from a Datathon:

https://docs.google.com/presentation/d/1OElGN4sw65fWQFbUA2tZg2rE1o0nyZftHvTiNMujldU/edit?usp=sharing

Data science technical walkthrough:

https://github.com/ruoyucad/DataForGood

We hope you will join us!