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. 

Staff

• Antonis Bikakis
• Luke Dickens
• Oliver-Duke Williams
• Rob Miller
• Karen Stepanyan
• Daniela Romano
• Peter Williams
• Andreas Vlachidis
• Vassilis Routsis

Students

• Fabio D'Asaro (PhD)
• Kalliopi Kontiza (PhD)
• Diego Ramirez (PhD)
• Olga Loboda (PhD)
• Felipe Sheward (PhD)

Affiliate Members

• Vanda Broughton
• Giorgos Flouris
• Theodore Patkos
• Alessandra Russo

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