GD
Geodynamics

edited by Constanza Rodriguez Piceda

She is a postdoctoral researcher at University of Roma Tre (Italy). Her research interests span from the role of fault networks with complex geometries in earthquake processes to the link of the lithospheric structure with observed seismic deformation. She is co-editor-in-chief of the GD blog team.

“You belong here”: reflections on gender inequality in Academia

and May 20, 2026
“You belong here”: reflections on gender inequality in Academia
Female support in STEM Earth Sciences. Image generated by IA.

Academia is often imagined as a space driven by merit, curiosity, and scientific collaboration. Still behind publications, conferences, and research achievements, many women in STEM continue to navigate environments shaped by subtle exclusion, normalized inequalities, and power imbalances that are not always openly discussed. In Earth Sciences, where collaboration and field-based research are fund ...[Read More]

Saskia Goes – Augustus Love Medallist 2026

and April 29, 2026
Saskia Goes – Augustus Love Medallist 2026

Profesor Saskia Goes is the receipent of the 2026 Augustus Love Medal of the Geodynamics Division for her outstanding contributions to our understanding of Earth structure and evolution, using integrative research at the confluence of geodynamics, seismology, mineral physics, and geochemistry. In this interview, she talks about her professional journey and shares her thoughts on what the future of ...[Read More]

The courage to be disliked: reflections on peer-review processes

, and February 4, 2026
The courage to be disliked: reflections on peer-review processes
Peer-review strikes back (Credit: Lea Pennacchioni)

Although often daunting and discouraging, every academic must navigate the inevitable process of peer review. In this week’s post, Jean-Baptiste Koehl, postdoctoral researcher at the University of Oslo (Norway), reflects on what the future of peer review might be. Author disclaimer: The reflections presented here reflect my perspective grounded in my own experience. While peer review is a key mech ...[Read More]

Understanding geodynamic modelling results through maps of neural networks

and January 21, 2026
Understanding geodynamic modelling results through maps of neural networks

The huge amount of data produced in Geosciences is increasing exponentially, and numerical modelling has become a key tool for understanding tectonic evolution over time, which also increases the volume of data produced. Here, I, João Bueno (PhD student at University of São Paulo, Brazil)  will present how a machine learning technique known as Self-Organising Maps can be used to understand the int ...[Read More]