• Moore's law is ending, but the demand for more computing power is not. To continue to speed up computation, parallel computational capabilities are quickly becoming commonplace. Even laptops will have multicore parallelism, but will our community be able to take advantage of the computational power available to them? A series of articles and perhaps even an ongoing column discussing ways that this has been done and the means to do so would be useful.
• Applications of computational science to biology and to problems from biology are increasing. CiSE should be part of bringing these results to our readers.
• The next generation of Web-based computing is developing very rapidly, mainly because of cloud computing. Obviously, our community would like to know not only about ways to use the Web for computation but also about how the Web is evolving for scientific purposes.
Isabel Beichl is a mathematician at the National Institute of Standards and Technology. Her research interests include Monte Carlo algorithms, complex systems, and discrete mathematics. Beichl has a PhD in mathematics from Cornell University. Contact her at isabel dot beichl at nist dot gov.