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VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20240923T143258Z
DTSTART:20241127T160000Z
DTEND:20241127T173000Z
SUMMARY:Mitchell Centre Seminar Series
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}aq6-m167gk5
 c-g69qp5
DESCRIPTION:Cecilia Menenghini\, University of Exeter\nA network approach
  to study organised crime movement across local communities\nThis talk e
 xplores how social network analysis can be used to understand the moveme
 nt of organized criminal groups across geographical areas. I will introd
 uce a novel method for quantitatively studying the structure and dynamic
 s of these movements within local communities\, as well as the underlyin
 g drivers. This method is applied to two distinct geographical areas in 
 the UK. First\, we reconstruct the movement of organized crime members a
 cross local areas in Cambridgeshire\, using a large-scale police dataset
  spanning 41 months of recorded crime events. Second\, we apply the same
  approach to organized criminal groups in Merseyside\, drawing on a data
 set covering four years of crime events. In both cases\, we identify org
 anized crime "turf" and "target" areas\, and explore the factors driving
  movement from the former to the latter using Exponential Random Graph M
 odels. The talk will present findings from this analysis\, focusing on h
 ow geographical\, socio-economic\, and structural (network) factors crea
 te incentives for the movement of organized crime groups. I will also di
 scuss key differences between the two counties. Ultimately\, the study p
 roposes a scalable methodology to identify communities at risk of being 
 targeted by criminal organizations\, offering practitioners a tool for e
 arly intervention.
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:G6\, Humanities Bridgeford Street\, Manchester
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