Our site has moved!Please visit our new site at SISTA
The School of Information: Science, Technology, and Arts has classes and programs that help you gain a deeper understanding of the role of computing and digital information in any major by placing it within the context of The Information Age - giving you that extra edge in today's and tomorrow's job market. SISTA's classes are open to all majors and we offer interdisciplinary BS and BA degrees, a minor, and excellent opportunities for undergraduate research.
Computing is a foundation for research in the sciences, engineering, humanities and arts. Computing means more than building or programming computers: It means solving problems in an algorithmic way, or thinking about problems as if computers will implement the solutions. SISTA’s mission is to provide expertise and promote research in computational methods and thinking across disciplines; and to teach students to understand the computational aspects of any discipline.
SISTA Research Mission: SISTA is a home for interdisciplinary work at the University of Arizona (see our research page for examples). We welcome all students, faculty and others who want to start new projects or participate in current projects.
In Fall 2010 we began the campus-wide SISTA Colloquium Series. Since then we have featured two dozen speakers from 20 departments and programs. Please join us for talks about computation in disciplines from all over campus.
Visit our About page to learn more of what SISTA has done in its first two years.
|Jan 17:||SISTA Art Show|
|Jan 13:||UA News : SISTA Art Show|
|Dec 05:||SISTA Associate Director, Clayton Morrison talks about SISTA in "The Journal"|
|Oct 31:||SISTA features Harold Cohen, Distinguished Speaker|
|Oct 19:||SISTA team of researchers receive $3M grant|
Bootstrap Learning: The Bootstrapped Learning Project
The Bootstrapped Learning Project seeks to develop an electronic student capable of being taught new concepts through natural human instruction. There are many facets to the challenge of building an instructable student, and we are participating in a multi-team DARPA program focussed on this problem. We are developing algorithms to notice information and patterns that are not the explicit subject of the lesson being taught, both in teacher/student dialog and world events.