Network Collaboration

Collaboration is at the heart of the TAILOR network, and the aim of this work package is to promote and support interaction and collaboration between network partners through tools, development of training material, organisation of training events, PhD and staff exchanges, etc. The overall goals are to foster excellence through shared knowledge and vision, to support a sustainable research capacity in Trustworthy AI which has critical mass and can effectively interact with European funding mechanisms, and to establish a healthy pipeline of future talent.

The tasks in this work package are coordinated with VISION CSA in order to maximise visibility and impact, reduce overhead, and align with the other ICT-48 projects.

A PhD curriculum

One of our tasks is to design a PhD curriculum in Artificial Intelligence, understood as a set of topics and learning goals that would give a PhD student a solid grounding in Trustworthy AI through Integration Learning, Optimisation and Reasoning.

A wealth of AI courses are offered by TAILOR partners. We have made an effort to map and document them all, in a living document that can be updated whenever new courses become available. This mapping will inform the next steps in developing the TAILOR PhD curriculum in AI, possibly allowing multiple streams to navigate the topics. The mapping is available as TAILOR deliverable 9.5 (see deliverables).

TAILOR partners and others with ideas about what a TAILOR PhD curriculum should look like are invited to get in touch with Peter Flach (University of Bristol) at Peter.Flach@bristol.ac.uk.

You only write thrice

A novel conceptualisation of (scientific) publishing. Read more in the news section.

New ways of working – workshop

At this workshop, the AI community met to share and discuss innovative, non-standard ways of working and custom workflows that go beyond just using distinct tools, or integrate such tools in an ingenious way. A summary and the recording of the workshop is available on this page

Contact: Peter Flach (peter.flach@bristol.ac.uk)