Network colaboration – WP2
UNIVBRIS, LIU, CNR, UCC, UNIBO, TU/e, TU Delft, CSIC, LU, UMA, UPV
See partner page for details on participating organisations.
Peter Flach (UNIVBRIS), WP leader.
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 (email@example.com)
News related to WP9
During the week from 13th to 17th of June, the 19th EurAI Advanced Course on AI (ACAI) and 2nd TAILOR summer school was organised in Barcelona. This joint initiative was devoted to the themes of explainable and trustworthy AI and organized by Carles Sierra and Karina Gibert from the Intelligent Data Science and Artificial Intelligence Research Center at Universitat …
A lot of TAILOR scientists submitted their paperworks to the 31st International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2022). The conference will be in Vienna, from 23rd to 29th of July, 2022. Here below the (not full) list of accepted papers presented by people involved in TAILOR: A …
TAILOR researchers Kacper Sokol and Peter Flach have developed a workflow to automatically generate interactive documents, slides and computational notebooks from a collection of markdown source files. The framework offers a novel paradigm in authoring and publishing of scientific outputs. In academia it is quite common to produce multiple variants of the same content published …
The AAAI is one of the major global conferences for AI research and scientific exchange among AI researchers, practitioners, scientists, and engineers in affiliated disciplines. In 2022, it will be a virtual conference February 22 – March 1. Several prominent researchers from the TAILOR consortium have papers accepted for the conference: “REMOTE: Reinforced Motion Transformation …
10 September 13:00-15:00 (CEST). This workshop, “New Ways of Working: Tools for 21C Research”, will provide a space for the AI community 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. In particular, the workshop aims to …