Paul Ormerod Volterra Partners LLP, London and University of Durham www.paulormerod.com The limits to the standard model  Vernon Smith: ‘I urge students to read narrowly within economics, but

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From Point Cloud to Grid DEM: A Scalable Approach Pankaj K. Agarwal ?1 , Lars Arge ??12 , and Andrew Danner ???1 1 Department of Computer Science, Duke University, Durham, NC 27708, USA

Source URL: www.cs.swarthmore.edu

Papers are invited for a one-day conference on: Nuclear Politics in the Middle East, South and East Asia To be held at the School of Government and International Affairs at Durham University on

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Carlo Tomasi Department of Computer Science — Levine Science Research Building Duke University — Durham, NCEducation and Work Experience

Source URL: www.cs.duke.edu

Page 1 of 11 CHILDREN AND MICROCOMPUTERS Paper by DR. CHARLES CROOK, Psychology Department, University of Durham, 1985 This paper will not attempt to address all the

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Reified Bayesian Modelling and Inference for Physical Systems Michael Goldstein, Jonathan Rougier ∗,1 Department of Mathematical Sciences, University of Durham, U.K. Abstract

Source URL: www.maths.dur.ac.uk

DEI Briefing Note OctoberThe UK Geothermal Resource: Addressing the myths, identifying the challenges and exploiting the opportunities. Dr Charlotte Adams, Department of Earth Sciences, Durham University

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Investigating snow in JULES Steven Hancock1, Robert Baxter1, Richard Evans2, Brian Huntley1 1 School 2 Centre of Biological and Biomedical Sciences, University of Durham and National Centre for Earth Observation

Source URL: www.nceo.ac.uk

re:actıon Reflections on public engagement in higher education A report on the learning from Beacon NE, a UK Beacon for Public Engagement

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• Academia
• Durham University
• Newcastle University
• Newcastle upon Tyne
• University of Birmingham
• Public engagement
• University of Newcastle
• Talloires Declaration on the Civic Roles and Social Responsibilities of Higher Education
• Student engagement
• Association of Commonwealth Universities
• North East England
• Local government in England

Probabilistic Inference for Future Climate Using an Ensemble of Simulator Evaluations Jonathan Rougier∗ Department of Mathematical Sciences University of Durham, UK

Source URL: www.maths.dur.ac.uk

• Computational science
• Computer experiment
• Probability density function
• Conditioning
• Expected value
• Information theory
• Probability box
• Posterior probability
• Statistics
• Probability theory
• Probability and statistics