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Because of the striking advances in contemporary biology, those who plan to carry out biological research will need to access a broader range of concepts and skills than did past generations. The modern biologist uses a wide array of advanced techniques, ranging from special measuring instruments, novel imaging systems, computer methods, and quantitative analytical tools and models. Understanding and effectively applying these techniques requires knowledge from outside of the biological sciences.

Furthermore, the analysis of biological systems, with their web of complex interactions, will require the design of new theoretical approaches. To meet the challenges of the new biology, the committee believes that all future biological researchers will need concepts and skills drawn from a range of scientific disciplines that must be broader than what has been expected up to now. Because of biology's great diversity, specific requirements will differ among the various subareas of biological research, and no one individual is expected to be equally competent in all the relevant areas of physics, chemistry, mathematics, and engineering. ...
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Nevertheless, as a guide to the key biologically relevant ideas in these areas, and to stimulate discussion of what constitutes the core knowledge for the new biological curricula, the report begins by offering what is believed to be the central concepts of chemistry, physics, engineering, and mathematics that are most relevant to biology. Following these concepts are four examples of potential undergraduate biology curricula that would be appropriate for future biomedical researchers. These examples are not meant to discourage the use of alternate curricula that also cover the content of mathematics and physical and information sciences. Many of the courses listed have familiar titles in order to illustrate that many of the recommendations found in this report could be implemented through existing courses. However, the content of the courses would likely be altered to increase the integration of the different sciences.

Throughout this report the committee uses the term "quantitative biology" to refer to a biology in which mathematics and computing serve as essential tools in framing experimental questions, analyzing experimental data, generating models, and making predictions that can be tested. In quantitative biology, the multifaceted relationships between molecules, cells, organisms, species, and communities are characterized and comprehended by finding structure in massive data sets that span different levels of biological organization. It is a science in which new computational, physical, and chemical tools are sought and applied to gain a deeper and more coherent understanding of the biological world that has strong predictive power.

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