Cafe Scientifique

Cafe Scientifique

From the archive

This event last happened on 30 November 2015

Sharpen your interest and knowledge of science in an informal and friendly atmosphere. This is an opportunity for all members of the public to meet practicing scientists. Take part in the free debate/discussion while enjoying food and drinks from the Showroom café bar.

Monday 2nd November 2015 - 7.00 pm

The Power of Big Data

Dr Gianluca Demartini, iSchool, University of Sheffield

More and more data is being generated around us by every activity we do in our daily life. Such large amounts of data are changing the way we do things and are used to make data-driven decisions by companies and organisations. From mobile phones, wearable devices up to the shopping we do, more and more data is being stored and analysed for a number of commercial and humanitarian purposes. In this talk I will present Big Data dimensions and examples of large data processing infrastructures that companies such as Facebook and Google currently use. I will then talk about the way data is changing our lives including, for example, how advertisement is being personalised based on our individual data and how working patterns are today decided by data and algorithms. Finally, I will present the Big Data research we do in Sheffield where we investigate novel ways to provide access to information on the Web by integrating structured and unstructured content.


Monday 30th November 2015 - 7.00 pm

Premonition modelling fire risk behaviours and attitudes in the South Yorkshire region to improve the identification of areas at risk of fire in the community


Dr Dermot Breslin - Sheffield University Management School

Dr Mark Burkitt - Sheffield University Computer Science

Dr Steven Dobson - Sheffield Business School

Prof Daniela Romano - Edgehill University

Groundbreaking research from the University of Sheffield and Sheffield Hallam University will enable South Yorkshire Fire & Rescue to examine community fire risk behaviour with a pioneering computational simulation programme. This project is the first of its kind in this area of application and aims to improve the prevention of fire and emergencies. If successful the simulation programme will be rolled out to fire services across the country. The simulation will improve the identification of areas at risk and vulnerable communities, including the prediction of outcomes of interventions. This decision-support tool will aid in the optimisation of resource allocation planning of operations, and with community prevention work, by considering patterns of variations of risk behaviours. 


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