Collaboration

Collaboration between the laboratory and other researchers at SCIENCE ranges from brief guidance to extensive research collaborations. Examples of collaborations of different character:

  • A single or a few meetings where the DSL researcher gives guidance to data analysis, design of new experiments, relevant parts in manuscripts or referee reports.

  • Projects where the statistician carries out analyses and writes relevant parts of the corresponding articles. This can be the case if it assessed to be more appropriate and not too extensive, or if the project is particularly interesting from a statistical point of view.

  • Projects where a computer science researcher contributes with algorithms or data analysis methodology/software and writes relevant parts of scientific papers. An example of this could be automatic detection and quantification of cells, roots, or other objects from large collections of images. This can be the case if it assessed to be more appropriate and not too extensive, or if the project is particularly interesting from an data science point of view.

  • Larger collaborations, for example comprehensive data analyses or development of new statistical/analysis/quantification methodology. Such projects should typically be co-financed by the client, e.g. with funding from research projects.

  • Co-supervision of PhD students in projects where data science plays a prominent role.