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Home  >  Speakers  >  Allan John Brimicombe
Allan John Brimicombe

Allan John Brimicombe

    MPhil, PhD, FRGS, FGS, AcSS
Head, Professor | London, England    United Kingdom
Other Specialties
Geo-information Systems, Environmental Simulation Modeling,...More
Spoken at 1 event

Biography :

Allan Brimicombe is a Professor of Geo-Information at the University of East London. He is a Chartered Geographer, a Fellow of the Royal Statistical, Royal Geographical and Geological Societies, a Director of the British Society of Criminology, and is a Fellow of the Academy of Social Sciences. Allan pioneered the use of geo-information systems (GIS) and environmental simulation modeling. His other research interests include data quality issues, spatial data mining and machine learning, quantitative methods and location-based services (LBS). These have been applied to crime, health, education, natural hazards, utilities, and business.

He lectures in research methods and data science. Allan has been a member of the Crime and Criminal Justice Transparency Sector Panel which provides advice to the transparency delivery teams for crime data in the Home Office, and criminal justice data in the Ministry of Justice. He is also a non-executive member and Deputy Chair of the National Statistician’s Crime Statistics Advisory Committee which advises the Home Secretary, Her Majesty’s Inspectorate of Constabulary and the Office of National Statistics on all matters relating to the collection and publication of crime statistics.

Allan has recently been a Specialist Adviser to the House of Lords Select Committee on Olympic and Paralympic Legacy. This follows work since 2009 on the Olympic Games Impact Studies commissioned by the Economic & Social Research Council on behalf of the International Olympic Committee. Allan spearheaded the founding of the MSc and Professional Doctorate in Data Science at UEL where he teaches quantitative methods and machine learning. He has recently been appointed as a Justice of the Peace.

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Other Specialties

Interested Topics

Geo-information Systems, Environmental Simulation Modeling, Data Quality Issues, Spatial Data Mining, Machine Learning, Quantitative Methods, Environmental Impact Assessment, Predictive Analytics

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English, French

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