Scientific influence relies on effective communication, and visual communication is one of the most effective channels of communication. Effective visual communication means using the visual channel to deliver the right information or messages clearly and concisely. Quoting Chambers et al. (1983), “there is no single statistical tool that is as powerful as a well-chosen graph.” Indeed, effective visual communication is a core competency for the quantitative scientist. It involves 1) understanding of the end goal or purpose, 2) a clear representation of the data itself, magnitude of effect and associated uncertainty, adhering to good graphical principles and avoiding pitfalls that can mislead or obfuscate, and 3) message-oriented delivery of actionable insights, tailored to your target audience in a way that facilitates decision-making. In this session, we will convey this skillset through exploration of different facets of effective use of visualizations, with an aim for the audience to take away several practical tips and ideas for how to have greater impact in their work through visual communication.
Bang Wong, Novartis (invited speaker)
Bodo Kirsch, Bayer
Francois Mercier, Roche
Charlotta Früchtenicht, Roche
Beitrag: Data Science Approaches in Biomedical Informatics – B Löhnhardt, T Beißbarth, U Sax, D Heider, S Brunak, H Fröhlich, J Textor