Bialek and Botstein (1) proposed that the recent advances in
biological sciences require a new curriculum for young biologists, based
on an integrative scientific view of biology, physics, and chemistry, with
a strong background in computation, statistics, and mathematics. Based on
our 15 years of experience teaching Quantitative Ecology and Evolutionary
Biology for undergraduate and graduate students, we strongly agree with
their diagnosis and that great advances would be achieved if their
proposal triumphs.
Unfortunately, we do not share such an optimistic view of
improvements in curricula and their future impacts. Our argument is based
on the Principles of Numerical Taxonomy, by R. R. Sokal and P. H. A.
Sneath (2), published in early 1960s. This was the first textbook on the
emerging field of numerical taxonomy, which was searching for a more
operational, objective, and quantitative approach to Systematics, following
a trend in ecology and evolutionary ecology that started in 1950s.
Interestingly, Sokal and Sneath were aware that understanding the
methods they presented in the book would be difficult and proposed a new
curriculum to prepare young biologists for the advances in the years to
come, similar to Bialek and Botstein’s (1) proposal.
Forty years later, what has happened? On one hand, graduate and
undergraduate programs in biological sciences usually have only relatively
short "basic" courses in mathematics and statistics, not enough for
general quantitative reasoning, and biologists think today almost the same
way they did in the 1960s. On the other hand, a quick look at a new
textbook in Systematics (3) clearly shows that Sokal and Sneath
underestimated the background in mathematics and statistics that is now
necessary to follow the advances of the last 40 years!
Back to the future, new ideas to improve curricula toward more
quantitative reasoning are still necessary. But, because of the slow rate
at which curricula change, compared to the much faster advances in
quantitative techniques and computer capacity, we may ask if quantitative
reasoning is not doomed to be forever a "marginal" and restricted view,
separated from the main line of empirical and purely descriptive biology.
We must be prepared to always live in a "parallel" scientific world, just
like the sorcerers of Avalon, hiding our gifts in the mist, but still
guiding, usually at a distance and undercover, the destiny of the
knowledge in our field.
References and notes
1. W. Bialek, D. Botstein, Science 303, 788 (2004).
2. R. R. Sokal, P. H. A. Sneath, Principles of Numerical Taxonomy (W.
H. Freeman and Company, San Francisco, 1963).
3. J. Felsenstein, Inferring Phylogenies (Sinauer Associates, Inc.,
Publishers, Sunderland, 2004)