Leonard Jones II
MIT Department: Media Arts and Sciences
Faculty Mentor: Prof. Dava Newman
Research Supervisor: Lucas De Bonet
Undergraduate Institution: Hampton University
Website:
Biography
Leonard Jones II is a rising third-year student at Hampton University studying computer engineering with an interest in robotics and space exploration. He recently has been working with brain-computer interfaces (BCIs), autonomous technology, and digital design, exploring his interest in aerospace and robotic systems. Inspired by sci-fi media growing up, Leonard developed a passion for futuristic technology and innovation, which led him to pursue hands-on activities such as 3D modeling and building electronic projects. Through these experiences, he has built a strong foundation in both hardware and software that continues to shape his engineering perspective. Building on this foundation, he is eager to explore more hardware and electronic design, aspiring to use his knowledge of the digital world, such as programming, artificial intelligence, and digital systems to create intelligent and responsive technologies.
Abstract
Live Data Integration for Coordinated Earth and Lunar Mission Control Operations
Leonard Jones1, Lucas De Bonet2, and Dava Newman2
1Department of Engineering, Architecture, and Aviation, Hampton University
2Department of Aeronautics and Astronautics, Massachusetts Institute of Technology
The integration of NASA’s live Application Programming Interface (API) into a virtual reality experience is crucial for enabling real-time updates within digital systems. This functionality provides users with a dynamic and immersive understanding of how climate change is affecting specific regions over time. This helps users, more specifically policymakers, gain a clearer perspective of the crisis, potentially motivating more immediate and informed action. This work is relevant in today’s context, where the climate crisis worsens daily due to human activity. Data or reports often fail to convey urgency or personal impact. By incorporating this data, users can observe how climate change is affecting their communities, making the issue more personal and pressing. Research was conducted on APIs to find which is most suitable for accurate climate data integration, then developed and tested the system with attention to programming, UI design, and user experience. Previous users noted that visualizing the data in a virtual environment made the issue feel more immediate and personal, especially when tied to a familiar location. The project continues to evolve, with ongoing testing aimed at refining interactivity, accuracy, and accessibility to better support informed decision-making, and educate users about the real-world impacts of climate change.