DSCO23 Datathon in partnership with Amazon Web Services & Amazon SageMaker Studio Lab

The Datathon provides a platform for high school and undergraduate data science enthusiasts to learn, apply, and hone their data science skills through a particular problem statement and data set that will be presented at the start of the competition.

Amazon SageMaker Studio Lab is a free machine learning (ML) development environment that provides the compute, storage (up to 15GB), and security—all at no cost—for anyone to learn and experiment with ML. All you need to get started is a valid email address—you don’t need to configure infrastructure or manage identity and access or even sign up for an AWS account.

Participants will be trained and mentored by Amazon Machine Learning Solutions Lab scientists from Amazon Web Services (AWS).

Students will solve a sustainability focused machine learning (ML) challenge using Amazon SageMaker Studio Lab. This is a great opportunity to level up your ML skills by developing models at an accelerated pace through preconfigured ML tools, frameworks, and libraries that comes built-in with SageMaker Studio Lab. The team will present a demo - powered by Amazon Sustainability Data Initiative (ASDI) - illustrating how to set up an ML pipeline using SageMaker Studio Lab for air quality prediction task. The teams will brainstorm, learn, and experiment with SageMaker Studio Lab to train ML models and solve an interesting sustainability challenge. The Machine Learning Solution Lab (MLSL) team will be present to support students throughout the event.

Lunch will be provided for all of the competition's participants, as well as cash prizes for the competition's winners.

All student registrants for DSCO23 will be able to elect to participate in the DSCO23 Datathon on March 12, 2023. 

If a student wants to participate in the DSCO23 Datathon without attending the rest of the conference, they can do so for a nominal charge of $20. All participants in the competition will be invited to attend the opening reception and the first plenary talk of the conference, featuring Senior Director of ML Research at Nvidia, Anima Anandkumar, after the competition concludes.