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X-ORIGINAL-URL:https://www.epi.ims.cam.ac.uk
X-WR-CALDESC:Events for IMS Epidemiology
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DTSTART:20170101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20181105T123000
DTEND;TZID=UTC:20181105T133000
DTSTAMP:20181105T173230Z
CREATED:20181010T171738Z
LAST-MODIFIED:20181105T173230Z
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SUMMARY:Seminar - The nexus between food literacy\, food security and disadvantage.
DESCRIPTION:All are invited to the CEDAR/MRC Epidemiology Seminar by:\n \nProfessor Danielle Gallegos\, Queensland University of Technology. \nSocial Networks for Health Behaviour Change\n\nMeeting Rooms 1&2\, Level 4\, Institute of Metabolic Science\, Cambridge Biomedical Campus\nDownload presentation \nAbstract\nHigh income countries are often described as being food secure and yet sub-populations are still unable to secure sufficient amounts of food necessary to lead a healthy life. Household and community food insecurity is perceived to be an individual issue. Food literacy has emerged as a convenient way of packaging knowledge and skills that individuals need in order to ensure a diet of sufficient quality and quantity. A focus on such strategies place the responsibility for healthy eating on the individual\, further marginalising disadvantaged groups and failing to acknowledge the profound impact of social and environmental determinants on food security\, and the well-established impacts these have on the food supply. This paper will explore hidden hunger in the Australian context and the complex nexus between food literacy and food security along a continuum of disadvantage. It will highlight the potential benefits and limitations of the incorporation of food literacy approaches to address food insecurity at community and household levels.. \nAbout Professor Gallegos\n\nDanielle Gallegos is a social nutritionist and Professor at Queensland University of Technology where she is the discipline leader for nutrition and dietetics and the Director for International Engagement and Recruitment. She currently coordinates Dietetic Honours students. She is a Fellow of the Dietitians Association of Australia and has worked in all areas of nutrition and dietetics including acute care\, foodservice\, private practice and for the last 15 years in public health nutrition. She teaches public and community nutrition and undertakes research related to the nexus between nutrition and social justice. Her special areas of interest are developing nutrition and dietetics as a profession in Vietnam\, food security\, food literacy and supporting breastfeeding through the use of innovative technologies. She is currently supervising 10 PhD students\, three of whom are from Vietnam. \nSign up for future seminars\nTo sign up for future seminars and/or other alerts please visit www.mrc-epid.cam.ac.uk/subscribe/
URL:https://www.epi.ims.cam.ac.uk/event/food-literacy-security-disadvantage/
LOCATION:Meeting rooms\, Level 4 Institute of Metabolic Science\, Addenbrooke’s Treatment Centre (ATC)\, Cambridge Biomedical Campus\, Cambridge\, CB2 0SL\, United Kingdom
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DTSTART;TZID=UTC:20181106T130000
DTEND;TZID=UTC:20181106T140000
DTSTAMP:20181101T101154Z
CREATED:20181101T101105Z
LAST-MODIFIED:20181101T101154Z
UID:10976-1541509200-1541512800@www.epi.ims.cam.ac.uk
SUMMARY:CIPH Seminar - Improving access to primary care - evidence from a cluster feasibility trial using a realist perspective
DESCRIPTION:All are invited to the Cambridge Institute of Public Health Seminar by:\n \nDr John Ford\, NIHR Doctoral Fellow in Public Health\, Norwich Medical School\, University of East Anglia. \nImproving access to primary care – evidence from a cluster feasibility trial using a realist perspective\n\nMeeting Rooms 1&2\, Level 4\, Institute of Metabolic Science\, Cambridge Biomedical Campus\n\n\nAbout Dr Ford\nJohn Ford is a Public Health registrar (medically qualified) with research interests in older people’s health\, inequalities\, health services research\, data integration and global burden of disease. He is particularly interested in research which makes a difference to patients and the public\, and his research skills include evidence synthesis\, meta-analysis\, indirect comparison\, cohort analysis and service evaluation. \nHe is currently a NIHR Doctoral Research Fellow in the Department of Public Health and Primary Care\, and his fellowship looks at how disadvantaged older people from rural areas access primary care. The first two years has been spent generating theory based on a realist review\, cohort analysis of ELSA using structural equation modelling and semi-structured interviews/focus groups. He is currently undertaking a feasibilty study to improve access to primary care for older people. More information can be found here.
URL:https://www.epi.ims.cam.ac.uk/event/ciph-seminar-improving-access-primary-care-evidence-cluster-feasibility-trial-using-realist-perspective/
LOCATION:Seminar Room 2\, University of Cambridge School of Clinical Medicine\, University of Cambridge Seminar room 11\, University of Cambridge School of Clinical Medicine\, Cambridge Biomedical Campus\, Cambridge\, CB2 0SP\, United Kingdom
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BEGIN:VEVENT
DTSTART;TZID=UTC:20181114T123000
DTEND;TZID=UTC:20181114T133000
DTSTAMP:20181010T164702Z
CREATED:20180904T161848Z
LAST-MODIFIED:20181010T164702Z
UID:10672-1542198600-1542202200@www.epi.ims.cam.ac.uk
SUMMARY:Seminar - Social Networks for Health Behaviour Change
DESCRIPTION:All are invited to the CEDAR/MRC Epidemiology Seminar by:\n \nDr Ruth Hunter\, Queen’s University Belfast. \nSocial Networks for Health Behaviour Change\n\nMeeting Rooms 1&2\, Level 4\, Institute of Metabolic Science\, Cambridge Biomedical Campus\nAbstract\nSocial networks (e.g. our friends\, family\, colleagues) have significant impact on our health and behaviours. However\, we know little about how these networks can be utilised to influence health behaviours. The presentation will provide an overview of a programme of work investigating the use of social networks for health behaviour change. \nAbout Dr Hunter\n\nDr Hunter’s research interests are in the development and evaluation of complex public health interventions for behaviour change at the community and population level. \nHer research involves investigating the role of social networks\, and the built and social environment for population level behaviour change. Most recently she was awarded a NIHR Career Development Fellowship to investigate the role of social network interventions for behaviour change involving collaborations with the University of Southern California\, Harvard University\, Yale University and the University of Cambridge. \nSign up for future seminars\nTo sign up for future seminars and/or other alerts please visit www.mrc-epid.cam.ac.uk/subscribe/
URL:https://www.epi.ims.cam.ac.uk/event/seminar-dr-ruth-hunter-queens-university-belfast/
LOCATION:Meeting rooms\, Level 4 Institute of Metabolic Science\, Addenbrooke’s Treatment Centre (ATC)\, Cambridge Biomedical Campus\, Cambridge\, CB2 0SL\, United Kingdom
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DTSTART;TZID=UTC:20181121T113000
DTEND;TZID=UTC:20181121T153000
DTSTAMP:20181030T163500Z
CREATED:20181030T163332Z
LAST-MODIFIED:20181030T163500Z
UID:10964-1542799800-1542814200@www.epi.ims.cam.ac.uk
SUMMARY:Using images at scale to understand environments and behaviours
DESCRIPTION:All are invited to the Cambridge Digital Humanities Seminar: \nUsing images at scale to understand environments and behaviours \nWednesday November 21\, 2018\nGR06/07\, Faculty of English \nConvenors:\nDr James Woodcock – Centre for Diet and Activity Research (CEDAR)\, University of Cambridge\nDr Rahul Goel – Centre for Diet and Activity Research (CEDAR)\, University of Cambridge\nDr Carola-Bibiane Schönlieb – Reader in Applied and Computational Analysis\, Department of Applied Mathematics and Theoretical Physics\, University of Cambridge\nDr Anne Alexander – Cambridge Digital Humanities \nBook four FREE place online here: https://www.eventbrite.co.uk/e/using-images-at-scale-to-understand-environments-and-behaviours-tickets-50737316680 \nImage big data are increasingly being used to understand the built and natural environment and to observe behaviours within it. Data sources include satellite and airborne imagery\, 360 street views\, and fixed video or time lapse traffic and CCTV cameras. While some of these sources are newer than others what has been changing are the quality of the images\, the geographical coverage\, and the potential for assessing changes over time. At the same time improvements in machine learning have made it possible to turn images into quantitative data at scale. \nIn this workshop we will explore the challenges that researchers face when using images at scale to understand environments and behaviours\, building on work at Cambridge to estimate cycling levels\, using satellite data to estimate motor vehicle volume\, and planned data collection in Kenya using 360 cameras. We will be using the following themes to help structure our discussion. \nData capture and access\nWhat do researchers need to understand about how these images are created in order to interpret them accurately at scale? How do we deal with the challenge of working with ‘image data’ which no longer needs to be rendered into something that humans would recognise as an image for us to work with it? With the increasing drive towards the outsourcing of data capture to various third parties and subcontractors what questions should researchers be asking about these processes in order to build effective models? \nData analysis and triangulation\nWhat theoretical and practical problems arise from efforts to combine heterogeneous large-scale image datasets to model human behaviours? How do we account for different kinds of temporality and spatiality in large-scale image datasets when making statistical inferences and developing models of behaviour – for example if we combine image data composed of a sequence of snapshots from fixed locations such as traffic cameras with data filmed by a drone? What methods should we use to render gaps and ambiguity in the data more visible to end-users of our results? \nIdentity and human rights\nWhat methods should researchers use to protect the rights of humans who may be identifiable in these datasets? Can we reliably anonymise large-scale image datasets? Whose consent should we seek to capture\, process\, analyse or publish such datasets and when should we seek it? \nData management\, re-use and preservation\nWhat infrastructure do we need to manage large-scale image datasets in the present? Should we be attempting to preserve them for the future? \nA sandwich lunch will be available for participants so please help us cater accurately by cancelling your ticket or letting us know if you can no longer attend. Please contact Michelle Maciejewska (mm405@cam.ac.uk) with any special dietary requirements by 14 November. \nFREE booking online here: https://www.eventbrite.co.uk/e/using-images-at-scale-to-understand-environments-and-behaviours-tickets-50737316680
URL:https://www.epi.ims.cam.ac.uk/event/using-images-scale-understand-environments-behaviours/
LOCATION:GR06/07\, Faculty of English\, West Road\, Cambridge CB3 9DP\, GR06/07\, Faculty of English\, Cambridge\, Cambridgeshire\, CB3 9DP\, United Kingdom
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