Eric Rothermel (CC BY)
This is a list of events organised by members of the Open Science Community Delft that can be of interest to other members.
If you would like to add an event here, please submit an issue on GitHub.
Date & time: Thursday, September 22, 15:00-18:00 CET
Location: Aula Congress Center, foyer (1st floor) - Send an email to t.y.yankelevich@tudelft.nl to register
Our community has so many passionate and inspiring Open Science advocates, it’s time we meet each other, learn about each other’s work and have fun. The programme revolves around community members with pitches of new ideas as well as thematic tables to discuss different topics on Open Science. And all this while enjoying food and drinks.
To receive the invite, contact Tanya, the Community Coordinator (t.y.yankelevich@tudelft.nl) so you can connect with other community members. You can also let her know if you’d like to have a space to share your initiative with the community.
The event is designed for OSCDelft community members. Not a member yet, but would like to join? Fill out the sign-up sheet here: https://osc-delft.github.io/join
Date & time: Friday, January 21, 14:30-16:30 CET
Location: Online - Register here
In the future we will use more energy, batteries will play a critical role in providing us with this energy. Sanli Faez is working on an Open Source Flow Battery to democratise the energy market. Sanli Feaz is an assistant professor at the University Utrecht and a big supporter of open science and open-source working. He records regular podcasts and is now one of the pioneers of making open flow batteries!
We will also be showcasing some of the projects that have been built by the members of the Open Hardware community at Delft, these will include the Open Centrifuge, the Fume sensor, Raspberry Pi Computer Cluster and the award winning Plastic Scanner. Join us to know more about these projects or on how to work on your own!
Find out more at the event website
Date & time: Feb 10, Feb 22 and March 10
Location: Online - Registration links from this page
This workshop series aims to introduce early career researchers in materials science to fundamental machine learning concepts, as well as tools and techniques for applying machine learning approaches to their work, including handling and sharing data as well as building machine learning and deep learning models.
Find out more at the event website