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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, 91¸£Àû, 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 91¸£Àû RDF Strategic Award on “Modelling Complex Epidemiological (Time/Space) Trajectories of Wellbeing and Place: An Interdisciplinary Approach”, Dr Emma Uprichard (CIM, PI),  (Durham, SASS),  (91¸£Àû, WMS),  (91¸£Àû, WMI),and  (91¸£Àû, Sociology). Please do come along. This is very much work progress and it requires proper interdisciplinary input, so we welcome your views.

 


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