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Research Associate
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I am Research Associate in the Electoral Debate Visualisation (EDV) project, working with Anna De Liddo and Simon Buckingham Shum on using technology to enhance the experience of debate viewers in the next UK General Election.

I recently completed a PhD in computational linguistics, under the supervision of Paul Piwek and Richard Power from The Open University�s Computing and Communications Department. My thesis specialised in analysing and modelling non-cooperative behaviour in political interviews. I am currently extending this work to political debates in the context of the EDV project.

Before becoming a computational linguist, I obtained a MSc in computer science from the National University of Rosario, Argentina. I have carried out research on virtual human systems at USC�s Institute for Creative Technologies in Los Angeles, California, and on software architectures and formal methods in Portugal, Argentina and Finland. From 2001 to 2004, I worked as a software engineer for ATX Software in Lisbon, Portugal. My duties included web interface design, database administration, quality assurance, project management and customer liaison.

Keys: non-cooperative dialogue, discourse structure, dialogue games, argument visualisation, dialogue annotation, web technologies, social engagement, e-democracy

Team: Michelle Bachler, Simon Buckingham Shum, Anna De Liddo, Simon Knight, Duygu Bektik, Thomas Ullmann

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Publications

Publications | Visit External Site for Details Publications | doi 

De Liddo, A., Souto, N. and Pluss, B. (2021) Let's replay the political debate: Hypervideo technology for visual sensemaking of televised election debates Let's replay the political debate: Hypervideo technology for visual sensemaking of televised election debates, 145, pp. (Early Access)

Publications | Visit External Site for Details  

De Liddo, A., Pluss, B. and Ardito, A. (2020) Democratic Reflection: Nudging Citizens' Democratic Engagement with Political Election Debates, CSCW '20 Companion, Virtual Event, USA

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Latest Seminar
Microsoft Research Cambridge

Actions and their Consequences: Implicit Interactions with Machine Learned Knowledge Bases

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