Welcome to the UN Datathon 2023 Documentation Wiki!
We are thrilled to have you on board for this exciting journey of data exploration, analysis, and collaboration. This comprehensive resource has been meticulously crafted to provide you with all the information you need to make the most of your Datathon experience.
Please use the sidebar navigation to the left to navigate the wiki.
Whether you're a seasoned data wizard or just dipping your toes into the world of data science, this wiki is your compass to navigate the Datathon's intricacies. Inside, you'll find a treasure trove of knowledge, including:
Datathon Essentials: Get up to speed with the rules, guidelines, and crucial information that will ensure a smooth and productive Datathon journey.
Communication Channels: Learn how to connect with fellow participants, mentors, and organizers through Discord for real-time collaboration and support.
Submission Guide: Discover the ins and outs of submitting your work using Story Maps and Survey 123, ensuring your submission is complete and ready to be judged.
Datasets: Explore strategies for seamless data access, data sharing across platforms, fostering teamwork and enhancing your project's impact.
Technical Platforms: Dive into detailed technical documentation for essential platforms such as AWS, Esri, NetApp/UN Jupyterhub, and the Privacy Enhancing Tools lab environment. You'll find step-by-step guides on using, extracting data from, working on, and exporting your work from these platforms.
Webinars: Watch the recordings of past webinars and keep updated with upcoming webinars.
Our goal is to empower you with the knowledge and tools you need to excel in the Datathon and contribute your skills toward addressing critical global challenges. So, whether you're here for the technical intricacies or seeking guidance on the broader aspects of the Datathon, this wiki is your go-to resource.
We encourage you to explore, learn, and connect with your fellow Datathon enthusiasts. Together, we can harness the power of data to drive positive change on a global scale.
Best of luck, and let's embark on this data-driven adventure together!