09-23, 13:30–14:30 (Europe/London), Lower Hall East
Code your own Satellite Art! In this scientific computing lab you will choose images of Earth collected by space agencies like NASA as your canvas, then let your creative tech imagination go wild using Python to transform colours and apply filters to produce digital art featuring real planet landscapes.
The wealth of satellite Earth Observation data captured and made publicly available by space agencies like NASA are not just valuable research resources, but also represent a huge supply of meaningful digital canvases for a range of creative STEAM purposes. In this hands-on scientific computing lab, participants will transform chosen images of Earth into eye-catching Satellite Art by applying selected data tools from Python's open-source ecosystem. Through experimenting with accessible Machine Learning and other computational image processing methods for editing colours, textures, and other visual effects, participants ultimately create a piece of digital artwork they can take home and show others, whilst also engaging with core Math and Science and learning about the varied landscapes of our planet.
IT requirements
A laptop with moden browser (e.g. Firefox, Chromium/Chrome, Opera) is needed to participate in the workshop. This is the JupyterLite platform loaded with materials that will be used for the workshop.
Chiin (She/Her) is an award-winning Tech Entrepreneur with 15 years' experience practicing, innovating with, and championing Data Science disciplines in industry, government, education, and Open-Source ecosystems.
An Economics graduate from Cambridge, Chiin discovered programming later in her twenties, going on to become the Foreign Office's first Head of Data Science, building their first AI alongside Cyber & National Security capabilities. Today, Chiin's focus is her inclusive EdTech startup, Rho Zeta AI, especially her flagship outreach initiative, Sports Python, seed-funded by the EuroPython Society. Chiin previously co-founded R-Ladies Global through a Linux Foundation grant.