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Stephanie Liston

Stephanie Liston was born in the mid-west of the USA to a mother who was a first grade teacher and a father who was a finance director in the retail sector.  Stephanie studied history and political science at The Colorado College.  She studied law in San Diego, London and Cambridge.  Her first legal job was with Fulbright and Jaworski, which had offices in Houston, Washington and London.

Stephanie joined MCI Communications Corp in January 1990.  She was involved in forging joint venture agreements across the globe for MCI.  She returned to the UK, where she completed her LL.M. at Trinity Hall, Cambridge, to join Freshfields in 1992.  There she continued to advise MCI with its Concert joint venture with BT.

She was recruited by a number of firms throughout her legal career.  From Freshfields Stephanie joined Baker and McKenzie, working on international communications and technology matters and being asked to join the international partnership.  She built a very successful telecoms practice from scratch – but without the international focus.

Bob Hopgood

Bob Hopgood joined the IT industry out of Cambridge having studied mathematics in 1959 at the Atomic Energy Research Establishment at Harwell.  He has worked in software, management and networking until his formal retirement in 2000.  This has included work on compiling techniques, computer animation, translator writing systems, computer graphics and the World Wide Web.  After retirement he worked for the Word Wide Web Consortium setting up national offices in, among other places, Israel, Morocco and Australia.

Professor Nigel Gilbert CBE

Dr Professor Nigel Gilbert CBE holds a distinguished chair in Computational Social Science having been a Professor of Sociology at the University of Surrey. Nigel brings a fascinating insight into how IT an help us understand society. His prolific output includes Agent-based Models (Sage Publications 2008); a technique used to model behaviours such as clustering of populations, the dynamics of opinions in society and the operation of the housing market.   

Nigel is a polymath.  He wanted to do computer science at university but nobody was offering such a degree yet so he studied engineering at Cambridge with management studies thrown in, Nigel’s first program was for his father, a biophysical chemist, helping him understand through simulation how haemoglobin picks up and releases oxygen in the blood.  This around the time that Crick and Watson were building computer models (and note the parallels with Dennis Noble).  He was a lecturer in sociology at York University and joined the newly formed University of Surrey as part of a small sociology department in 1976.  He made a name for himself using a microcomputer to cut through the complexity of rules for social security benefits that were beyond human comprehension.  As a result the topic was  in the Alvey project. 

Professor Yorick Wilks

Professor Yorick Wilks is a British computer scientist who has contributed to a wide range of academic fields, including philosophy, artificial intelligence, computational linguistics, natural language processing, and machine translation. He is Emeritus Professor of Artificial Intelligence at the University of Sheffield, and Visiting Professor of Artificial Intelligence at Gresham College in London, a position created for him. He is a Research Associate at the Oxford Internet Institute, Senior Scientist at the Florida Institute of Human and Machine Cognition, and a member of the Epiphany Philosophers. He is a Fellow of the British Computer Society, and of the Association for Computing Machinery. He is a Fellow of the European Association for Artificial Intelligence, and of the American Association for Artificial Intelligence. In 1997 he led the team that won the Loebner Prize for machine dialogue; in 2008 he got the Zampolli Prize of the European Languages Research Association; and the Lifetime Achievement Award of the Association for Computational Linguistics. In 2009 he got the Lovelace Medal of the British Computer Society for contributions to meaning-based understanding of natural language.