Sharing mathematical insights on modeling tumor growth.

All students should understand that biology is often analyzed through quantitative approaches. Developing the ability to apply basic quantitative skills to biological problems should be required of all undergraduates, as they will be called on throughout their lives to interpret and act on quantitative data from a variety of sources.

Vision and Change in Undergraduate Biology Education Final Report (2011)

 The Numbers Count Project focuses on biological problem solving.  We offer faculty workshops and support open resources developed as part of our project including:

    • biological data as Excel files, images, and FASTA format text files
    • introductory mathematical modules for biology and chemistry
    • concepts in statistics mapped to individual modules in a statistics course
    • our workshop resources (materials, tools, data, powerpoints, and group products)
    • course materials for Calculus and Freshman Statistics
    • networking sites focusing on data such as Gapminder
    • online interdisciplinary resources such as OER Commons
    • modeling tools such as ESTEEM (Excel)
    • visualization such as Image J tools and Many Eyes networking

Quantitative reasoning is like many other skills. It requires practice and an appreciation for the utility of mathematical tools and strategies. Faculty and students in biology must grapple with mathematical models, tools, and insights as they engage in the study of biological science.

We invite user comments and sharing of classroom materials.

The Numbers Count Project was initially funded by the HHMI.