Interdisciplinary Techniques to Reduce Uncertainty in the Sciences | Middlesex University London
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    Interdisciplinary Techniques to Reduce Uncertainty in the Sciences

    Event information

    START DATE 24 September 2014
    START TIME 10:00am

    CG82, College Building, Hendon Campus

    END DATE 24 September 2014
    END TIME 05:00pm

    Science, in its theoretical endeavour, and Technology, in the development of applications, have always been facing the essential problem of reducing uncertainty: from devising deductive models to calculating differentials and infinities. The probabilistic account is nowadays considered the right framework to understand and use uncertainties. But the forms and concepts of uncertainty are diverse in the various sciences and applications, including computing, biology, game theory, security, data analytics and visualization. This workshop aims at building a dialogue between formal, historical and technical accounts of the notion of uncertainty, to explore possible intra- and inter-disciplinary understandings.

    Supported by the Centre for Ideas and the Maison Européenne des sciences de l'homme et de la société (Lille), this workshop builds on an informal scientific collaboration between the School of Science and Technology at Middlesex University and the research group Savoirs, Textes, Langage of the University of Lille3.

    Cfi, is a forward-looking 'virtual research institute' set up by Middlesex University to promote discussion and collaboration between its internationally recognised scholars and leading public intellectuals, relevant professionals and policy-makers.

    Below is a draft programme for the day: 

    10:00 – 10:30          Registration & Refreshments

    10:30                         Introduction - G. Primiero 

    Session 1: History and Philosophy

    10:30 – 11:15           Liesbeth de Mol (CNRS & Lille3): Formalization and calculation. Uncertainty and unpredictability in early computing.

    11:15 – 12:00           Tomas Petricek (University of Cambridge): Philosophical reflections on programming with context.

    12:00 – 13:30           Lunch

    Session 2: Modelling Uncertainty

    13:30 – 14:15           Franco Raimondi (Middlesex University): Reasoning about quantified beliefs.

    14:15 – 15:00           Hykel Hosni (Pisa, LSE): Uncertain reasoning: from applications to foundations

    15:00 – 15:30          Mid-Afternoon Break

    Session 3: Applications

    15:30 – 16:15           Florian Kammueller (Middlesex University): Modeling Human Behaviour with Higher Order Logic: Insider Threats

    16:15 – 17:00         Chris Rooney (Middlesex University): Computing, representing and understanding uncertainty in police intelligence analysis: the problems we face in the FP7 VALCRI project 

    To register to attend, simply email Dr Giuseppe Primiero E:

    For further information please contact Mita Vaghji (Event Coordinator Cfi & RKTO), T: 0208 411 6664 E:

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