Wolfram Summer School Research Reports 2023

Each year, the Wolfram Summer School brings together undergraduate and graduate students, postdoctoral scholars, professors and professionals to develop computational research projects using Wolfram Language. This curated collection of student projects from the 2023 Summer School covers various disciplines, including data science, physics, artificial intelligence, social sciences, computational biology, finance and more.

Participants present their methodologies and findings through detailed reports, illustrating how computational tools can advance research across disciplines. These proceedings provide concrete examples of Wolfram technology applications for researchers, educators and practitioners in a wide range of fields.

Information and Media Inquiries

February 11, 2025 Publication
Publicity and Interviews: sw-media@wolfram.com
Trim Size: 7" x 10"
Non-Fiction: Science/Physics

Distribution by Ingram

Contents

• Preface
• Project List
• RemoteSensing Paclet: GIBS Satellite Imagery and AρρEEARS Geographic Data Products
• Efficient Discovery of Halting Paths in Aggregation System Multiway Graphs
• Turing Machines on Graphs
• Study the Effect of Small Changes in Large Language Models
• Animating Wolfram Model Evolutions in 3D
• Hat Tiling Space Reduction and Grow Function Implementation
• LLM-Powered Reviews of Student Work Samples
• From Elliptic Curves to Diophantine Equations: A Journey through Rational Points
• HatGame: A Journey through the Hat Tile Configuration Space
• Blackbox Optimization: The Mesh Adaptive Direct Search (MADS) Algorithm

About Wolfram Summer School

Join us for a unique opportunity to explore and create projects at the frontiers of science, technology and innovation under expert mentorship. Each year, our diverse cohort unites individuals from various academic backgrounds and nationalities, enhancing the learning experience through a wealth of perspectives. Participants work on cutting-edge projects that apply Wolfram Language to real-world problems, building skills that not only advance personal career goals but also place them at the forefront of computational innovation. Learn more and apply here.