This panel aims to combine neuroscience, mathematics, and economics through the lens of coding and computer science. You will learn about how electroencephalography (EEG) can measure reading comprehension and how neural networks could predict child engagement during communication with robots to learn. You will discover how Cocalc and Unity experiments simulate the trajectory and angles of reflection of billiards, and how to apply a topological indicator to measure chaos. Afterwards, you will look at how NetLogo programming can enhance traditional Triangular Growth Model by integrating dynamic visualizations through color changes, bond thickness and more. You will also learn about independent research in conversational recommendation systems. This presentation will cover tips on leading and designing your independent research project -- from drafting proposals to conducting user studies. Finally, you will learn about economics summer research in assisting with financial planning and analysis, including for building financial models, running various financial scenarios, and more.

Moderator: Audrey Saint John, Professor of Computer Science

Translating Knowledge Into Direct Action, My Experience at Groundwork Hudson Valley
Janna Parrot ’26, Computer Science and Russian and Spanish Translation double major

Financial Insights in a Nonprofit Environment
Hema Motion ’25, Computer Science and Mathematics double major

Model Abstract Researcher
Ayesha Peer ’26, Data Science & Economics double major & Data Analytics & Society Nexus

Coding for Mathematical Billiards
Bria McKinley-Nicastro ’26, Mathematics major

From Ideas to Impact: Crafting a Path in Recommender Systems Research
Mumtaz Fatima ’25, Computer Science major