About the challenge:
Welcome to Youth Data Hack! Unleash your creativity and analytical skills as you dive into public datasets covering social, environmental, or economic issues. Collaborate with like-minded peers to gain valuable insights and develop innovative, data-driven solutions that can make a positive impact on the world. Join us and be a part of shaping a better future through the power of data!
Choose a dataset: Select a public dataset that interests you, related to social, environmental, or economic topics.
Explore the data: Dive into the dataset to uncover patterns, trends, and potential areas for improvement or innovation.
Analyze with curiosity: Use data analysis tools and techniques to gain valuable insights from the information at hand.
Collaborate and ideate: Work to brainstorm creative, data-driven solutions to the identified challenges.
Build your solution: Develop a prototype, app, visualization, or any other form of solution that addresses the issue at hand.
Present your findings: Share your discoveries and solution with passion, showcasing the impact of data in shaping a better future through a short 5-10 minute video.
For the final submission on Devpost, participants will create a 3-7 minute video showcasing their data-driven solution. The video should include an introduction to the creators and the problem they aim to address using the dataset, followed by data analysis insights, a comprehensive overview of their solution's impact, a demo of the prototype/app, data visualizations, and concluding with the collaboration, challenges, and learnings. The video will serve as a compelling testament to their creativity, analytical skills, and dedication to leveraging data for positive change.
$500 in prizes
Submitting to this hackathon could earn you:
Professor at Stanford University
CEO Big Data Trunk
Originality and Creativity
Did the team do something novel, or take a fresh approach to the problem?
Usefulness and Feasibility
Is the project practical? Does it solve the problem?
Technical Design and Complexity
Was the technological aspect of the project hard to build? Did the team use clever techniques or implement complex components?
Presentation and Clarity
Are the ideas well organized? Is it presented clearly?