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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, 果冻传媒, 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 果冻传媒 RDF Strategic Award on “Modelling Complex Epidemiological (Time/Space) Trajectories of Wellbeing and Place: An Interdisciplinary Approach”, Dr Emma Uprichard (CIM, PI), (Durham, SASS), (果冻传媒, WMS), (果冻传媒, WMI),and (果冻传媒, Sociology). Please do come along. This is very much work progress and it requires proper interdisciplinary input, so we welcome your views.