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Interdisciplinary Techniques to Reduce Uncertainty in the Sciences

Event information

START DATE 24 September 2014
START TIME 10:00am
LOCATION

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: g.primiero@mdx.ac.uk.

For further information please contact Mita Vaghji (Event Coordinator Cfi & RKTO), T: 0208 411 6664 E: m.vaghji@mdx.ac.uk

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