The Cost of Prediction


This paper examines a looming reproducibility crisis in the core of the hard sciences. Namely, it concentrates on molecular modeling and simulation (MMS), a family of methods that predict properties of substances through computing interactions on a molecular level and that is widely popular in physics, chemistry, materials science, and engineering. The paper argues that in order to make quantitative predictions, sophisticated models are needed which have to be evaluated with complex simulation procedures that amalgamate theoretical, technological, and social factors – leading to problems with reproducibility. Thus, for methodological reasons, the predictive success causes a reproducibility problem.



External links

  • This entry has no external links. Add one.
Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

  • Only published works are available at libraries.

Similar books and articles

Modeling Information.Patrick Grim - 2016 - In Luciano Floridi (ed.), Routledge Handbook of Philosophy of Information. Routledge. pp. 137-152.


Added to PP

168 (#118,187)

6 months
168 (#19,966)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Johannes Lenhard
RPTU, Kaiserslautern

Citations of this work

No citations found.

Add more citations

References found in this work

The Structure of Scientific Revolutions.Thomas S. Kuhn - 1962 - Chicago, IL: University of Chicago Press. Edited by Ian Hacking.
Science in the age of computer simulation.Eric B. Winsberg - 2010 - Chicago: University of Chicago Press.

View all 22 references / Add more references