I will talk about the Turing Institute, the UK's national institute for Data Science and AI.
This has been running for 3 years now, and consists of 10 strategic programmes and partners, including the UK NHS, HSBC, Intel, and others, together with 13 Universities, starting with Cambridge, Edinburgh, Oxford, UCL and Warwick. There are around 300 researchers involved at any time across a wide variety of fundamental and applied problems, and in this seminar, I'll describe how we've managed this, and how we map the work and evolution of the intstitute (by using machine learning on ourselves!).
Jon Crowcroft has been the Marconi Professor of Communications Systems in the Computer Laboratory since October 2001. He has worked in the area of Internet support for multimedia communications for over 30 years. Three main topics of interest have been scalable multicast routing, practical approaches to traffic management, and the design of deployable end-to-end protocols. Current active research areas are Opportunistic Communications, Social Networks, Privacy Preserving Analytics, and techniques and algorithms to scale infrastructure-free mobile systems. He leans towards a "build and learn" paradigm for research.
From 2016-2018, he was Programm Chair at the Turing, the UK's national Data Science and AI Institute, and is now researcher-at-large there.
He graduated in Physics from Trinity College, University of Cambridge in 1979, gained an MSc in Computing in 1981 and PhD in 1993, both from UCL. He is a Fellow the Royal Society, a Fellow of the ACM, a Fellow of the British Computer Society, a Fellow of the IET and the Royal Academy of Engineering and a Fellow of the IEEE.
He likes teaching, and has published a few books based on learning materials.
