BEGIN:VCALENDAR
PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
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VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20210118T155234Z
DTSTART:20210112T160000Z
DTEND:20210112T170000Z
SUMMARY:Social Statistics Seminar - 4pm\, 12 January: Should we measure f
 ood insecurity (and if so\, how)?
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}a1ee-kjip8h
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DESCRIPTION:Social Statistics Seminars 2020/21 – January Session\n\nShoul
 d we measure food insecurity (and if so\, how)? Insights from a novel ma
 chine learning approach with the world's largest food sharing network\n\
 nJohn Harvey (University of Nottingham)\n\nJoin us at 4pm (GMT) on 12 Ja
 nuary 2021!\nRegistration link: http://bit.ly/socstat0121\n \nAbstract\n
 \nFood insecurity in the UK has captured public attention\, but estimate
 s of its prevalence are deeply contentious. On rare occasions when it ha
 s been measured it is done using one-off\, expensive\, cross-sectional s
 urvey questions that can be difficult to answer due to feelings of shame
 \, embarrassment or guilt. The lack of statistics on emergency food assi
 stance is made even more ambiguous due to increasing use of peer-to-peer
  food sharing systems (e.g. OLIO – the world’s largest food sharing netw
 ork). These initiatives exist as a solution to food waste rather than po
 verty\, but nonetheless carry a hidden food insecurity burden. In this p
 resentation we consider the relationship between food sharing\, food ins
 ecurity measurement\, and deprivation generally. We introduce a novel ap
 proach involving machine learning and network behavioural data to develo
 p a predictive model of food insecurity in the UK. Using these results w
 e then visualise food insecurity across the UK using an interactive map 
 demo. Through a series of empirical studies we show that current nationa
 l statistics do not properly identify the prevalence of food insecurity.
  We argue for a reformed approach to national modelling of food insecuri
 ty outside of existing measures of deprivation. We demonstrate that data
  from food sharing systems can help quantify food insecurity and show ho
 w local authorities could benefit from considering composite measures th
 at include behavioural data.\n\nAbout the speaker\n\nDr John Harvey is a
 n Assistant Professor based in the N/LAB and NUBS at University of Notti
 ngham. He holds a PhD in economic anthropology and specialises in the st
 udy of consumer behaviour\, particularly through the use of social netwo
 rk analysis.\n
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:Registration at: http://bit.ly/socstat0121
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