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Modeling Big Data Longitudinally: The Importance of Cases, Densities, Trajectories and Time, Tues 11 Nov, 10am -12pm
CIM SEMINAR: Tues 11 Nov, 10-12, ¹û¶³´«Ã½, R0.14
Title Modeling Big Data Longitudinally: The Importance of Cases, Densities, Trajectories and Time
Speakers: (Sociology, Kent State) and (Maths, Kent State)
This seminar is supported by a ¹û¶³´«Ã½ RDF Strategic Award on “Modelling Complex Epidemiological (Time/Space) Trajectories of Wellbeing and Place: An Interdisciplinary Approach”, Dr Emma Uprichard (CIM, PI), (Durham, SASS), (¹û¶³´«Ã½, WMS), (¹û¶³´«Ã½, WMI),and (¹û¶³´«Ã½, Sociology). Please do come along. This is very much work progress and it requires proper interdisciplinary input, so we welcome your views.