Mobile version
spiked plus
About spiked
What is spiked?
Support spiked
spiked shop
Contact us
Summer school
Top issues
Arab uprisings
British politics
Child abuse panic
For Europe, Against the EU
Free speech
Jimmy Savile scandal
Parents and kids
View all issues...
special feature
The Counter-Leveson Inquiry
other sections
 Review of Books
 Monthly archive
selected authors
Duleep Allirajah
Daniel Ben-Ami
Tim Black
Jennie Bristow
Sean Collins
Dr Michael Fitzpatrick
Frank Furedi
Helene Guldberg
Patrick Hayes
Mick Hume
Rob Lyons
Brendan O’Neill
Nathalie Rothschild
James Woudhuysen
more authors...
RSS feed

abc def ghi jkl mno pqrs tuv wxyz index
Survey home
Survey responses
RSS feed
Anjana Ahuja
Julian Baggini
Philip Ball
Marlene Oscar Berman
Gustav VR Born
K Eric Drexler
Marcus Du Sautoy
Edmond H Fischer
John Hall
Tim Hunt
Wolfgang Ketterle
Leon Lederman
Matt Ridley
Raymond Tallis
Frank Wilczek
Lewis Wolpert
Dr Patrick E McSharry
Royal Academy of Engineering research fellow at the University of Oxford

Mathematics provides a means of analysing and modelling real-world systems. In many situations a few simple equations can explain much of the characteristic behaviour of complicated dynamical systems. The race has always been to keep the theory up to date with new observations.  The computer now allows scientists to go beyond the limitations posed by their ability to wield complicated formulae. 

In the field of systems biology, scientists rely on an iterative cycle between theory, modelling and experiments. Experimentalists in the biological sciences routinely produce large datasets. Data-driven modelling plays a key role in the generation of empirical hypotheses and this can only be achieved using a combination of statistics, mathematics and computational science. The computer underpins much of this research in its ability to process vast amounts of data.

Ever increasing computing power is changing the way scientists approach modelling. The computer enables scientists to undertake predictive, integrative systems-based modelling that has the potential to provide a better understanding of health and disease.