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Information Studies

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Knowledge, Information and Data Science (KIDS) Group

We are an active research group with interests and expertise that span across a number of disciplines including: knowledge representation, reasoning about actions, natural language processing, probabilistic logics, non-montonic logics, argumentation, Bayesian reasoning, statistical machine learning, data science and crowdsourcing. Our overarching research objective is to develop methodologies, algorithms and paradigms that build bridges between logic-based AI and statistical machine learning approaches, as well as finding practical applications in robust real-world applications. UCL Human Informatics (UCLHI) is an interest group within KIDS that collaborating with UCL Psychology and Brain Science explores multidisciplinary aspects of human activities with information systems. 

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Selected Publications

  • Loboda O, Nyhan J, Mahony S and Romano D, (2018). Towards Evaluating the Impact of Recommender Systems on Visitor Experience in Physical Museums. Mobile HCI 2019: 20th International Conference on Human-Computer Interaction with Mobile Devices and Services, 2018
  • Fabio Aurelio D'Asaro, Antonis Bikakis, Luke Dickens, Rob Miller: Foundations for a Probabilistic Event Calculus. LPNMR 2017: 57-63
  • Calin-Rares Turliuc, Luke Dickens, Alessandra Russo, Krysia Broda: Probabilistic abductive logic programming using Dirichlet priors. Int. J. Approx. Reasoning 78: 223-240 (2016)
  • Theodore Patkos, Antonis Bikakis, Giorgos Flouris: A Multi-Aspect Evaluation Framework for Comments on the Social Web. KR 2016: 593-596