ADASS is often referred to as “A gathering of old friends, rather than a
scientific conference”. This statement is generally used as a way to articulate
the sentiment that the members of the ADASS community are, on average,
friendly and easily accessible and why ADASS is generally a very nice meeting
to attend. However, being a gathering of old friends can make it hard for
newcomers, without existing connections in the community, to be fully included.
To make the community more accessible for junior staff members and other
newcomers, we propose to organise a free-flowing BoF session, following the
simple rule that newcomers should be stimulated to discuss any relevant topic
with each other and/or the established members of our community. We en-
vision those topics to range from, for instance, ways to navigating the work
floor, how to pitch more modern programming languages, or how to engage in
collaborations.
To give the novice attenders an idea of what ADASS is, we propose 3 vet-
erans giving a pitch for about 5min about the history and their own personal
experience to kick-start discussions and/or fill an online board with questions
they can answer.

The SKA Observatory will generate 700 PB of science ready data products per year. These will be made available to the astronomical community through a worldwide network of SKA Regional Centres (SRCs), which will be organised by local communities that bring together radio astronomy institutes and compute centres.

Science analysis platforms provide scientists with an interface to software and workflows, data and processing hardware in a uniform way. Generally an interface through a browser (e.g. using Jupyter notebooks) and APIs for programmatic access. The future SKA science analysis platform provided by the SRCs should allow complex distributed analysis and data exploitation including science pipelines, machine learning and other advanced techniques working on one of the most significant existing science data lakes and using a complex federated computational environment. This system should not be only performant and efficient but, also, these complex features should be presented to the community in an easy way. In preparation for this, the SKA Regional Centre Steering Committee (SRCSC) has initiated several prototyping activities to investigate how currently existing tooling from other instruments and fields could be leveraged to provide the infrastructure within which the SRCs will operate. In this contribution we present the work of the prototyping team focused on development of the SKA science analysis platform, which operatess under the name “Team Tangerine”.

Every field, and even every instrument within a field, is different, and therefore the definition of what a science analysis platform is and does cannot be defined in a uniform way. Because of this there are also many resources which either describe existing platforms, or more theoretically discuss what they typically should support. The first task of the Tangerine team is therefore to draft a vision of what this term means in the SKA context, based on literature study and the requirements from of the SKA. In parallel we make a qualitative comparison of the main platforms known to us and assess how an SKA platform could look, based on currently existing platforms or components. In this contribution we aim to present the vision on the SKA science analysis platform.