Connect
Relate technical topics to people, careers, and real-world questions.
AI Data Science Club
Activities that put learning into practice
The most valuable activities help students connect an idea to the real world, explore it from a new angle, or explain it clearly to someone else.
Why activities matter
More than a record of what happened
Programs show what students study. Activities show what changes when that learning meets experts, public spaces, and new audiences.
Explore
Encounter ideas and systems that cannot be understood from slides alone.
Explain
Strengthen understanding by making an idea useful to someone else.
Speakers and ideas
AI Talks & Expert Insights
Professor Weiqi Zhong, Dr. Fang Yang, Professor Po-Shen Loh, Dr. Hong Yang, and Ben Daniel connect students with data science, AI and education, actuarial careers, collaborative AI agents, and practical ways to approach real-world problems. Club topics also include Sora, AlphaFold, bioinformatics, LLMs, transformers, and deepfakes.
Seeing Problems Through the Lens of Data Science and Artificial Intelligence
Guest speaker Ben Daniel led an online seminar on August 30, 2026, sharing a practical perspective on using data science and AI to approach real-world problems.
Why it matters
Students can connect what they are learning now with paths they may pursue later.
Explore in public
STEM & career exploration
At the Atlanta Science Festival, students moved among university, industry, and community demonstrations—comparing how different fields ask questions, gather evidence, and test ideas.
Electricity & physical systems
A hand-crank generator demonstrated how magnets, coils, motion, and energy work together to create electricity.
Neuroscience & health
Emory exhibits connected brain science, behavior, sleep, environmental health, and scientific observation.
Engineering & testing
Hands-on demonstrations showed how engineers build, measure, revise, and explain physical systems.
Motorsports
Kennesaw State Formula SAE made design tradeoffs, materials, testing, and team engineering visible up close.
Why it matters
Exploration makes AI and data science part of a wider STEM picture.
Learning beyond the club
Community outreach
The club extends learning beyond its regular meetings through youth teaching, community-center study, online instruction, public STEM engagement, and an industry experience at Atlanta’s Coda Building.
Youth data-science lesson
Students introduced younger learners to applications, statistics, machine learning, AI, and the complete data-science process.
Community-center study
Study sessions at Kroger Community Center made software setup, Python, NumPy, pandas, analysis, and visualization a shared activity.
Online instruction
Virtual lessons on Pandas DataFrames and data cleaning allowed students to learn together across different locations.
Coda industry experience
Students met in an Atlanta technology setting to see how technical teams exchange ideas, collaborate, and connect learning with work.
Why it matters
Outreach turns technical learning into communication, access, service, and new community connections.
