Conrad Wolfram believes we should treat computers like cars: we should specify the problem and let the computer do the working out

Rohit Khanna looks forward to the integration of instruments and software to master the mounds of data created in the lab

Dr John McAlister finds that scientific computing is not an end in itself but that success depends on it

The development of LIMS will involve not only integrated data, but integration with enterprise applications, in Kevin Smith's view

Susie Stephens and Dennis Constantinou see Grid computing as the way to master the flood of information from the life sciences

Jack Little believes that model-based design is the best way to turn new ideas into real things

A combination of youth and maturity is required for the successful application of computing in the life sciences, according to Neil Kipling

Paul R. Topping scents a sea change in the way scientific research will be created, published, and read in the coming decade

We must move beyond software designed to solve single physics problems, according to Lars Langemyr

Bruce von Herrmann believes that better informatics is the only way to meet the challenge of increasing complexity in the life sciences