Training for translation between disciplines: a philosophy for life and data sciences curricula.

ABSTRACT:

Motivation

Our society has become data-rich to the extent that research in many areas has become impossible without computational approaches. Educational programmes seem to be lagging behind this development. At the same time, there is a growing need not only for strong data science skills, but foremost for the ability to both translate between tools and methods on the one hand, and application and problems on the other.

Results

Here we present our experiences with shaping and running a masters' programme in bioinformatics and systems biology in Amsterdam. From this, we have developed a comprehensive philosophy on how translation in training may be achieved in a dynamic and multidisciplinary research area, which is described here. We furthermore describe two requirements tha

SUBMITTER: Anton Feenstra K 

PROVIDER: S-EPMC6022589 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature