Data Science and Analytics
Overview
Description: Participants identify a societal issue, collect or compile data from various sources about the issue, and then produce documentation and a digital scientific poster about their findings. Semifinalists create a synopsis and digital visual representation of a data set provided in an onsite challenge.
Important: Ask your chapter advisor for this event's guidelines and rubric.
Theme: Identify and use an AI-generated dataset related to Climate and Environmental Sustainability for analysis and research. Competitors may use an artificial intelligence tool to create the dataset, provide the resulting data file in a structured format (such as CSV, XLSX, or JSON), and cite the artificial intelligence tool, model (if available), and prompts or queries used to generate the dataset.
Event Submissions
Deadline: March 27, 2026
Submission Requirements:
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