Rapid advances in computational technologies have dramatically changed the practice of research in both the computing and scientific domains. Inherently interdisciplinary problems open new opportunities for researchers in computer science and sciences such as biomedicine, biology, chemistry, physics, astronomy, and other disciplines. These problems present new challenges for science educators to innovate and create new curricula to prepare the upcoming generation of computational scientists.

Our goal is to help the students take advantage of the true power of computing and become more successful in their own fields with computational thinking.

Resources

• Interview: Dr. Yan Xu on Computational Education for Scientists
• Microsoft Carnegie Mellon Center for Computational Thinking 
  • Problem-Oriented Explorations at the Center for Computational Thinking

Publications and Presentations

• Transform Science, Volume 1: Initial Findings from the CEfS2007 Workshop 
• Publications from the Center for Computational Thinking

Conferences and Workshops

Workshop on Computational Education for Scientists, 2007