This webpage, called the Machine Learning Portal, provides the virtual access to all activities related to the work package entitled “JRA4 ML - Machine Learning Solutions for Data Analysis and Exploitation in Planetary Science” of the project “Europlanet 2024 Research Infrastructure” (Europlanet 2024 RI).

This site will be filled with more and more content during the progress of our work package. There are also news, media, tutorials and resources sections with various contents related to our ML activity.

The main objectives of the machine learning work package are:

• To develop machine learning (ML) tools, designed for and tested on planetary science cases submitted by the community, and to provide sustainable, open access to the resulting products, together with support documentation
• To foster wider use of ML technologies in data driven space research, demonstrate ML capabilities and generate a wider discussion on further possible applications of ML

The goal is to build a multipurpose toolset for ML-based data analysis that will be applicable to a range of scientific research questions in planetary science with minor or easily-achievable customization efforts.

The tools will be shared and made accessible to the wider planetary science community through this webpage, the ML Portal. The ML work package will also provide documentation and tutorials, to support the beneficiaries and the users of the ML tools.

During the proposal phase of Europlanet 2024 RI, the scientific community was asked to submit so-called science cases - problems where machine learning approaches seem promising. The following science cases where selected and are now worked on in our work package.