Texas Advanced Computing Center’s Frontera system is the most powerful supercomputer in academia in the world. We offer computing time for research and development work, artificial intelligence, machine learning, data analytics, and large-scale data storage. Researchers can bring their own code, or Texas Advanced Computing Center staff can help write programs to solve challenges. Training is also available, free of charge.

March Economic Madness is an interscholastic competition, building on our internal student challenge, that provides university students an opportunity to form teams and compete across universities to develop fitted and beneficial solutions for real community problems. A two-tiered selection process is used, first at each university, then between universities for top teams. Presentations will be delivered online with no need for travel. Cash awards are provided to top teams.

The Sustainability Education and Enterprise Development (SEED) program is more than just a competition. Unlike other challenges that occur over a shorter period, we provide mentorship, curriculum, and networking opportunities for students over two semesters. Our goal is to train future problem solvers to address root problems through a sustainability lens – not just to give a great pitch. SEED’s long-term mission is to create a collaborative network of educational institutions, impact businesses, and community programs to train youth to become sustainability innovation leaders in any career through education and experiential learning.

Texas Immersive Institute’s mission is to provide access to emerging technology and research and design experiences for artists, scientists, and humanists who use storytelling to share solutions to big problems that are responsive, responsible and remarkable.

Our goal is to imagine the unknown into existence through the practice of Immersive. We strive to ensure our community lives at the intersection of culture and commerce such that consumers can engage through a blend of physical, digital and voice environments with ease.