Education

Context and Datasets

• DataJam.Edu.001 DataJam

  • Civic Data Science
  • Education

  In today’s data-driven world, the ability to analyze and interpret data is an essential skill across industries—from healthcare to finance to public policy. However, many high school and community college students face barriers to engaging with data science, including limited access to mentors, uncertainty in developing research questions, and challenges in working with datasets. DataJam was created to bridge this gap, fostering data literacy and critical thinking through real-world problem-solving. To enhance this experience, the Virtual DataJam Helper introduces AI-powered mentors, such as ChatGPT, to guide students through the research process. This tool supports learners in refining their hypotheses, identifying relevant datasets, and navigating data exploration. By embedding responsible data science principles, this initiative empowers students to ask meaningful questions, work with functional data, and develop confidence in using AI tools—preparing them for further education and careers in an increasingly data-centric world.