Geodynamic post-processing
StagPy 0.14.3 – a python-based command line tool to process the output files of simulations of the geodynamic code StagYY simulations. You can find the StagPy Github repository here and an extensive documentation here.
StagLab 5.0 – a MATLAB-based software package for geodynamic diagnostics and scientific visualisation. You can find find more information on: Crameri, F. (2017), StagLab, Zenodo. http://doi.org/10.5281/zenodo.1199037
Science visualisation
The accurate use of colour in data visualisation is essential in science communication. However, colour maps that visually distort data remain common. These include, but are not limited to, the rainbow (a.k.a. jet) colour map. This unscientific colour map distorts, hides, and falsifies the underlying data, and often makes a figure unreadable to colour-blind readers (support the #endrainbow movement!). Instead, I try to use scientific colour maps, (e.g. freely available here), which are perceptually uniform, perceptually ordered, readable as B&W print and colour-vision-deficiency friendly.
EGU Geodynamics division
Studies related to the Geodynamics Division include all aspects of geodynamic processes in the lithosphere, mantle, and core. The EGU GD media output is run by an enthusiastic group of early career scientists. Find bi-weekly blog posts on the blog website, and follow EGU GD on Facebook and twitter for a healthy dose of geodynamic research, news, and fun!
EGU Early Career Scientists representatives
Early Career Scientists (ECS) representatives are the vital link between the Union and its early career scientists membership. They give a voice to early career researchers in the Earth, planetary, and space sciences and ensure their needs are met at the Assembly, and throughout the year. Interested in becoming involved for the GD Division? Let me know!
AGU SEDI
AGU scientific section of Studies of the Earth’s Deep Interior is dedicated to understanding the internal structure of the Earth (and other bodies) at depths inaccessible by direct sampling.
500 Women Scientists
Having role models and safe networking opportunities is crucial in an academic career. However, lack of female role models persist in the STEM fields. That is why I joined the 500 Women Scientists network, which is all about enhancing opportunities for women in science and engineering. In particular, I’m following events of the Zurich pod of 500 Women Scientists.
GAIA, network for women in Earth sciences
GAIA provides women with an Earth science background, career or interest with the opportunity to meet and network and intents to support these women in their (career) development.
