31.7 Big Data
393
accumulation of biological facts. The robot is certainly able to discover such facts but
the (inductive) invention of knowledge remains beyond its capabilities and, perhaps,
beyond the capabilities of any machine.
31.7
Big Data
Bioinformaticians have been at the forefront of developing strategies to effectively
manage and integrate the massive amounts of data being generated by genomic
and related investigations (such as those associated with the Covid-19 pandemic),
facilitated by the breathtaking advances in sequencing technology.
Just as biology goes far beyond merely the study of living organisms, so does
correspondingly the remit of bioinformatics. Taking a high-level view, perhaps the
greatest contribution of bioinformatics to civilization as a whole is to have given
humanity the confidence to tackle colossal datasets, and ask research questions that
formerly would have appeared to be completely out of reach. An example is under-
standing the degree to which a child’s early development influences the rest of life.
There is, potentially, an enormous database; what one would need to do is some-
thing like taking school reports at age 6 and correlating them with the subsequent
achievements of the child in later life, throughout adulthood. Such a study, carried
out over the entire cohort of a nation’s children, could yield profound insight, which
should enable mistakes made in early years upbringing to be identified and reme-
died. Successful mastery of this area of knowledge would have almost unimaginable
consequences for the power and prestige of the nation, and perhaps give new impe-
tus to social contracts faltering worldwide. This statistical knowledge would replace
what has hitherto been little more than anecdotal. Every school is proud to advertise
a handful of alumni who became conventional celebrities, ignoring a much larger
number who probably achieved much more. And then we should try to correlate the
outcomes with a few other key variables, of which very likely the most important is
the parental environment. 22 But is it really that? Is it the school? Is it some impersonal
attribute such as household income or distance from London, or capital city? 23 One
can always retrospectively find a plausible “explanation” for individual cases. Or is
it something germane to tychism—“time and chance happens to them all”? 24 Big
data, guided by statistical models, may help to answer this long-standing question.
22 Cf. Heath and Clifford (1980).
23 Cf. Burks’ classic study, briefly discussed in Sect. 10.2.
24 Ramsden (2022).