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UID:5989-a34ac47e7cb067a8be59d93c78aa7885@events.la.psu.edu
DTSTAMP:20261017T061706Z
DTSTART;TZID=America/New_York:20191121T120000
DTEND;TZID=America/New_York:20191121T130000
SUMMARY:Criminology Forum 11/21 “Connected Communities and Neighborhood Crime: S
	tructural Isolation, Homophily in Inter-neighborhood Commuting Ties, and
	 Network Spillover Effects\"
DESCRIPTION:\nPlease join us for the upcoming Criminology Forum on Thurs
	day\, November 21 in 102 Burrowes Bldg from Noon - 1:00 PM.&nbsp\;Corina
	 Graif\, Ph.D.&nbsp\;Associate Professor of Sociology and Criminology at
	 Penn State University\, University Park will be presenting her research
	.\n\nThis study highlights the need to assess the external dimension of 
	neighborhood isolation\, the disconnectedness from other neighborhoods i
	n the city. The study further extends the literature by integrating stan
	dard criminological methods with machine learning and computational stat
	istics approaches to investigate the extent to which neighborhood crime 
	depends on the disadvantage of areas connected to it through commuting. 
	The findings suggest that connected communities can influence each other
	 from a distance and that connectivity to less disadvantaged work hubs m
	ay decrease local crime&minus\;with implications for advancing knowledge
	 on the relational ecology of crime\, structural and social isolation\, 
	and ecological networks.\n\nFor more details: https://events.la.psu.edu/
	event/criminology_forum_1121_connected_communities_and_neighborhood_crim
	e_structural_isolation_homophily_in_inter-neighborhood_commuting_ties_an
	d_network_spillover_effects/
X-ALT-DESC;FMTTYPE=text/html:<html><head></head><body><p>Please join us 
	for the upcoming Criminology Forum on Thursday, November 21 in 102 Burro
	wes Bldg from Noon - 1:00 PM.&nbsp;Corina Graif, Ph.D.&nbsp;Associate Pr
	ofessor of Sociology and Criminology at Penn State University, Universit
	y Park will be presenting her research.</p><p>This study highlights the 
	need to assess the external dimension of neighborhood isolation, the dis
	connectedness from other neighborhoods in the city. The study further ex
	tends the literature by integrating standard criminological methods with
	 machine learning and computational statistics approaches to investigate
	 the extent to which neighborhood crime depends on the disadvantage of a
	reas connected to it through commuting. The findings suggest that connec
	ted communities can influence each other from a distance and that connec
	tivity to less disadvantaged work hubs may decrease local crime&minus;wi
	th implications for advancing knowledge on the relational ecology of cri
	me, structural and social isolation, and ecological networks.</p><p>For 
	more details: <a href='https://events.la.psu.edu/event/criminology_forum
	_1121_connected_communities_and_neighborhood_crime_structural_isolation_
	homophily_in_inter-neighborhood_commuting_ties_and_network_spillover_eff
	ects/'>https://events.la.psu.edu/event/criminology_forum_1121_connected_
	communities_and_neighborhood_crime_structural_isolation_homophily_in_int
	er-neighborhood_commuting_ties_and_network_spillover_effects/</a></p></b
	ody></html>
LOCATION:102 Burrowes Building, Grucci Room
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