SM
Seismology
Marina Corradini

Marina Corradini

Marina is an Italian seismologist, science communicator and advocate for diversity, equity and inclusion in STEM. She currently works as a Temporary Lecturer and Research Assistant at the Institut de physique du globe de Paris, from which she received her doctoral degree in 2019. Marina is the Editor of the EGU Seismology blog. You can reach her at corradini[at]ipgp.fr

Hackathon: when ideas happen

Hackathon: when ideas happen

You live in a developing country and wish for access to safe drinking water [1]. Or, you are at the supermarket and want to jump the endless line at the checkout [2]. Maybe you are a business woman and want to confidently represent yourself as the professional you are [3].   Whether it be inspired by the best of intentions or simply the laziness of a shopper, an idea worth developing always h ...[Read More]

Hackathon in Zurich – ETH Team

Hackathon in Zurich – ETH Team

A colleague, external partners and I organized a hackathon on permafrost which took place from 28/11/2019 to 01/12/2019.   We tried not to follow the traditional competition-like hackathon approach, but wanted to foster interdisciplinary knowledge exchange and collaboration through working jointly on a predefined dataset.   We targeted to bring together computer and environmental scienti ...[Read More]

Hackathon in Vienna – IMGW Team

Hackathon in Vienna – IMGW Team

The whole idea of a Hackathon in Science came to me a couple of years ago, when I first read the AgileScientific blog written by Matt Hall.   I figured that such an event is perhaps the most optimal way to generate and develop ideas in rapid time. Then, after I participated in the Ready2Order Hackathon in Vienna, my colleagues and I decided that the time has come and we need to make it happen ...[Read More]

Hackathon in Paris – IPGP Team

Hackathon in Paris – IPGP Team

A few weeks ago, we organized and hosted a hackathon at IPGP and it turned out to be a very successful event.   We are a group of five organizers who are: finishing their PhD in Machine Learning, no longer working as research scientists (currently involved in data science and data engineering), and still living the dream.   We wanted to create an event that would help bring data scientis ...[Read More]