** *Dear colleagues,* * We are excited to announce an upcoming workshop/*hackathon taking place on Saturday 9 December in San Francisco*. This event will feature an exploration of two Python packages - *MSNoise and CovSeisNet*, offering the chance for hands-on learning and applications in monitoring seismic activity and analysing ambient seismic waves. *MSNoise *is a well-known Python package specifically designed for analysing the ambient seismic wavefield and extracting information from “the noise”. It allows for the calculation and analysis of seismic noise correlations, also known as ambient noise seismic interferometry. The latest version also includes possibilities to compute PSDs and to investigate them interactively. *CovSeisNet *is a Python-based package providing tools for seismic network-based processing. The central analyzed mathematical construction is the network covariance matrix (inverse Fourier transform of the cross-correlation matrix). The core signal detection algorithms are based on the analysis of the eigenvalues of this matrix. Eigenvector decomposition provides a basis for a blind source separation and the first eigenvector is used to locate some discrete (e.g. earthquake) or continuous (e.g. tremor) sources. For those unfamiliar, a hackathon is an event, usually lasting a few days, where several people meet to engage in collaborative computer programming. It's a chance to innovate, to learn, to collaborate, and to create new code, solutions, and visualisations. In our case, two packages will be used during a single-day event *(9.00-17.00)*! To make this event more interactive and indeed, intriguing, we will be providing *seismic data from Iceland* before the hackathon. Participants are encouraged to utilise MSNoise and CovSeisNet to analyze this data as a form of "homework". We will set up a Mattermost platform (free, self-hosted slack-equivalent) for the workshop participants to interact. On the day of the workshop, we will compare and discuss the results, highlighting different techniques and approaches. Furthermore, during the hackathon, we will work collaboratively to create new solutions and visualisations using these packages. To fully take advantage of this collaborative coding experience, participants must have a solid foundation in Python programming. If you are interested in joining us, *we ask you to express your interest* by filling out our Google form via the following link: https://forms.gle/w7Kk6F9MN2nAq1vc9 Should you have any queries or require further information regarding the hackathon, please feel free to reach out, w*e look forward to seeing you on 9 December in San Francisco.* * ** *Best regards,* * Thomas Lecocq, for the IS-Tremor research group * -- Thomas Lecocq, PhD Head of Service a.i. Geologist - Seismologist Seismology - Gravimetry Royal Observatory of Belgium * * * * * * * * * * --------- http://www.seismology.be http://twitter.com/#!/Seismologie_be https://www.facebook.com/seismologie.be