- Face-research-list - University of Stirling Mailing Lists

Call for Unpublished Data on Human Visual Body Perception
by Oswald, Flora Everest 03 Oct '21

03 Oct '21

Dear Colleagues, We are conducting a meta-analysis on the body inversion effect, which reflects the difference in recognition between upright and inverted body stimuli. Our goal is to provide a summary of this effect, including the magnitude and moderating factors that influence the effect.We are seeking unpublished data from studies that meet the following criteria: 1. Neurotypical participants completed a visual body perception/recognition task that include upright and inverted conditions. 2. Body stimuli are human bodies (either computer generated or real images) 3. Outcome measures of perception/recognition were collected for both upright and inverted conditions. These may include behavioral accuracy (% correct, hit rate), electrophysiological data (e.g., N170 signal), or neuroimaging data. If you have data that fit these criteria and you would like to share your data to be included in our synthesis, please contact Flora Oswald (feo5020(a)psu.edu<mailto:feo5020@psu.edu>) by October 18, 2021. Thank you and best wishes, Flora Oswald Flora Oswald, M.S (she/her) SSHRC Doctoral Fellow Underrepresented Perspectives Lab<https://jmatsick.wixsite.com/uplab>, Social Vision & Interpersonal Perception Lab<https://sites.google.com/site/socialviplab/> Departments of Psychology & Women's, Gender, and Sexuality Studies The Pennsylvania State University

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PhD in face perception
by Ferenc Kocsor 27 Sep '21

27 Sep '21

Dear All, I would appreciate it if you`d propagate the following opportunity. The Institute of Psychology at the University of Pecs, Hungary, has started a PhD program for international students. During the program, among other possibilities, students can join a research that aims to extend our knowledge about the cognitive and neural background of face perception. We`re particularly interested in how semantic knowledge about a person interacts with affective processes. The student will have access to the following equipment in our lab: - device for accurate reaction time measurement (cedrus) - eye-tracker (Toobi XT300) - physiological measurements (BIOPAC modules: EDA, hearth rate, respiration rate, EMG etc) - EEG, fMRI Please note that there is a tuition fee (3500 euros per semester in the first and second year, and 2500 euros per semester in the third and fourth year). However, students from selected countries (mainly from Asia, Africa, and South America) may apply for a *scholarship* by the *Stipendium Hungaricum* which covers both tuition fee and costs of living. The list of eligible countries can be found here: https://stipendiumhungaricum.hu/partners/ Details about the programme will appear soon at the following sites: https://btk.pte.hu/en https://psychology.pte.hu/ Until then, informal enquiries can be sent to kocsor.ferenc(a)pte.hu. Students with a background in psychology, biology, or other related fields, are welcome to apply. best regards *Ferenc Kocsor, PhD* Institute of Psychology Faculty of Humanites and Social Sciences University of Pécs Hungary psychology.pte.hu <https://psychology.pte.hu/ferenc-kocsor-phd>

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Submission deadline extended to 20th Aug: Special session on Applications in Healthcare and Health Monitoring in conjunction with IEEE FG 2021, 15th-18th December 2021 at Jodhpur, India
by ABHIJIT DAS 04 Aug '21

04 Aug '21

Dear colleagues, We are organizing a special session on “Applications in Healthcare and Health Monitoring” in conjunction with the 16th IEEE Conference on Automatic Face and Gesture Recognition to be held between 15th-18th December 2021 in Jodhpur, India (Hybrid Event). Kindly find the related call for papers below. *Important dates* Papers submission deadline: 20 August 2021 Decisions: 25 September 2021 Final camera-ready papers: 20 October 2021 *Submission instructions* can be found at *http://iab-rubric.org/fg2021/submission.html <http://iab-rubric.org/fg2021/submission.html>*. *For submission* log into *https://cmt3.research.microsoft.com/fg2021/* <https://cmt3.research.microsoft.com/fg2021/>, proceed to “create new submission”. Select “special session track and subject area” as “Applications in Healthcare and Health Monitoring”. Accepted papers will be included in FG2021 proceedings and will appear in the IEEE Xplore digital library, Please feel free to contact us for any further details. Kindly disseminate this email to others who might be interested. We look forward to your contributions. Abhijit Das (Thapar University, India) Babak Taati (University of Toronto, Canada) Antitza Dantcheva (INRIA, France) Diedo Guarin (Florida Institute of Technology, USA) Srijan Das (Stony Brook University, USA) Andrea Bandini (University of Toronto, Canada) Hu Han (CAS, China) Yana Yunusovva (University of Toronto, Canada) François Brémond (INRIA, France) Xilin Chen (CAS, China) -------------------------------------------------------------------------------------------- *Call for paper for FG 2021 special session * *on * *Applications in Healthcare and Health Monitoring* ----------------------------------------------------------------------------------- Automated Human Health Monitoring Based on Computer Vision has gained rapid Automated Human Health Monitoring Based on Computer Vision has gained rapid scientific attention in the last decade, fueled by many research articles and commercial systems. Recently, the COVID-19 pandemic has pushed the need for virtual diagnosis and monitoring health protocols such as regulating social distancing, surveillance of individuals wearing masks in-crowd, gauging body temperature and other physiological measurements from distance. Consequently, researchers from computer vision, as well as from the medical science community have given significant attention to goals ranging from patient analysis and monitoring to diagnostics (e.g., for dementia, depression, healthcare, physiological measurement, rare neurologic diseases). Moreover, healthcare represents an area of broad economic, social, and scientific impact. The goal of this special session is to bring together researchers and practitioners working in this area of computer vision and medical science and to address a wide range of theoretical and practical issues related to real-life healthcare systems. We especially invite papers resulting from collaboration between technical and clinical experts. Hence, this FG Special Session represents a venue for fostering these collaborations, providing a unique and welcoming environment for transdisciplinary research that is sometimes labelled as being “too clinical” by technical journals or “too technical” by clinical journals. Topics of interest include, but are not limited to:  Health monitoring based on face analysis,  Health monitoring based on gesture analysis,  Health monitoring based corporeal-based visual features,  Depression analysis based on visual features,  Face analytics for human behaviour understanding,  Anxiety diagnosis based on face and gesture,  Physiological measurement employing face analytics,  Databases on health monitoring, e.g., depression analysis,  Augmentative and alternative communication,  Human-robot interaction,  Home healthcare,  Technology for cognition,  Automatic emotional hearing and understanding,  Visual attention and visual saliency,  Assistive living,  Privacy-preserving systems,  Quality of life technologies,  Mobile and wearable systems,  Applications for the visually impaired,  Sign language recognition and applications for hearing impaired,  Applications for the ageing society,  Personalized monitoring,  Egocentric and first-person vision,  Assessing physical and/or cognitive ability based on face and body movement analysis,  Orofacial assessment in clinical populations,  Hand function assessment in clinical populations,  Assessment of gait and/or balance,  Assistive technology,  Applications to improve health and wellbeing of children and elderly. [image: image.gif]

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images of composites for a book
by Catriona.Havard 14 Jul '21

14 Jul '21

Dear all I hope you're all well. I was wondering if there was anyone who would be willing to send me some composite facial images I can use for my book chapter. Ideally it would eb great if there were soe from different systems, e.g. EFIT V, EvoFit, versus the older system EFIT, PhotoFit, Faces etc... I am trying to demonstrate the newer holistic systems create more life-like and recognisable composites compared to the older feature based systems. Also if anyone has specific examples of composites that have successfully been used by the police and have led to arrests/convictions it would be really great if I could include one of those too. I will of course reference the images, and/or the paper you may have included them in already in my book and give you full credit. If you need any more details about the book chapter, please do get in touch and I'll be happy to provide them All the best, Trina [cid:image001.jpg@01D778AC.060CD010] [cid:image002.png@01D778AC.060CD010] Dr Catriona Havard| Senior Lecturer in Psychology The Open University, Walton Hall, Milton Keynes, MK7 6AA To see a selection of my papers please visit http://www.open.ac.uk/people/ch22572 [cid:image003.png@01D778AC.060CD010]<https://www.facebook.com/theopenuniversity.OUFASSstudents/>[cid:image004.png@01D778AC.060CD010]<https://twitter.com/OU_FASS>[cid:image005.png@01D778AC.060CD010]<https://www.instagram.com/ou_fass/>[youtube_circle_red]<https://www.youtube.com/channel/UCC--E90gra2WwUHZRPrXtuA> [cid:image007.jpg@01D778AC.060CD010]

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Postdoctoral Research Fellow Vacancy
by Peter Hancock 08 Jul '21

08 Jul '21

From: Ailsa E Millen Sent: 06 July 2021 16:07 To: face-research-list(a)lists.stir.ac.uk<mailto:face-research-list@lists.stir.ac.uk>. Subject: Postdoctoral Research Fellow Vacancy Dr Ailsa Millen is offering a full-time, fixed-term Postdoctoral Research Fellow position to work on the ESRC project 'Identifying Novel Markers of Concealed Face Recognition' https://www.stir.ac.uk/about/work-at-stirling/list/details/?jobId=2584&jobT… starting August 2021 (or as soon as possible thereafter). Ailsa is seeking an excellent postdoctoral research fellow to conduct experiments combining eye-tracking, skin conductance, facial expressions and vocal cues. Excellent programming and analysis skills are essential. A crucial aspect of this role is to streamline the completion of the existing ESRC grant by taking over programming, data analysis, and manuscript writing so these skills are essential prior to starting. The project aims to further our understanding of how our brains recognise faces and find ways to help the police detect crime (www.conface.org<https://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.confac…>). The post is initially for 10 months but we will request an extension three months prior to the June 2022 end date. Enquiries to ailsa.millen(a)stir.ac.uk Dr Ailsa E. Millen (she/her) Lecturer in Psychology University of Stirling Phone: + 44 (0) 1786 466372 Twitter @ailsamillen Staff page: https://www.stir.ac.uk/people/255892 Project page: www.conface.org<https://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.confac…> @confacedotorg Leader of The Cognition Research Group @corgis_uos I aim to reply within 3 working days. My messages may arrive outside of the working day, but this does not imply any expectation that you should reply outside of your normal working hours. If you wish to respond, please do so when convenient. Latest papers Many Labs 5: Testing Pre-Data-Collection Peer Review as an Intervention to Increase Replicability (2020). Advances in Methods and Practices in Psychological Science. https://doi.org/10.1177/2515245920958687<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2…> Many Labs 5: Registered Replication Report of Crosby, Monin & Richardson (2008) (2020). Advances in Methods and Practices in Psychological Science. https://doi.org/10.1177/2515245919870737<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2…> Eye spy a liar: Assessing the utility of eye fixations and confidence judgments for detecting concealed recognition of people, places and objects (2020). Cognitive Research: Principles and Implications. https://rdcu.be/b6g6X<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Frdcu.be%2…> Registered Replication Report on Fischer, Castel, Dodd, and Pratt (2003) (2020). Advances in Methods and Practices in Psychological Science. https://doi.org/10.1177/2515245920903079<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2…> Eye see through you! Eye tracking unmasks concealed face recognition despite countermeasures (2019). Cognitive Research: Principles and Implications. https://rdcu.be/bNlKn<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Frdcu.be%2…> Latest papers: ________________________________ The University achieved an overall 5 stars in the QS World University Rankings 2020 UK Sports University of the Year 2020 (Times Higher Good University Guide) The University of Stirling is a charity registered in Scotland, number SC 011159.

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Special session on Applications in Healthcare and Health Monitoring in conjunction with IEEE FG 2021, 15th-18th December 2021 at Jodhpur, India (Hybrid Event).
by ABHIJIT DAS 29 Jun '21

29 Jun '21

Dear colleagues, We are organizing a special session on “Applications in Healthcare and Health Monitoring” in conjunction with the 16th IEEE Conference on Automatic Face and Gesture Recognition to be held between 15th-18th December 2021 in Jodhpur, India (Hybrid Event). Kindly find the related call for papers below. *Important dates* Papers submission deadline: 1 August 2021 Decisions: 25 September 2021 Final camera-ready papers: 20 October 2021 *Submission instructions* can be found at *http://iab-rubric.org/fg2021/submission.html <http://iab-rubric.org/fg2021/submission.html>*. *For submission* log into *https://cmt3.research.microsoft.com/fg2021/* <https://cmt3.research.microsoft.com/fg2021/>, proceed to “create new submission”. Select “special session track and subject area” as “Applications in Healthcare and Health Monitoring”. Accepted papers will be included in FG2021 proceedings and will appear in the IEEE Xplore digital library, Please feel free to contact us for any further details. Kindly disseminate this email to others who might be interested. We look forward to your contributions. Abhijit Das (Thapar University, India) Babak Taati (University of Toronto, Canada) Antitza Dantcheva (INRIA, France) Diedo Guarin (Florida Institute of Technology, USA) Srijan Das (Stony Brook University, USA) Andrea Bandini (University of Toronto, Canada) Hu Han (CAS, China) Yana Yunusovva (University of Toronto, Canada) François Brémond (INRIA, France) Xilin Chen (CAS, China) -------------------------------------------------------------------------------------------- *Call for paper for FG 2021 special session * *on * *Applications in Healthcare and Health Monitoring* ----------------------------------------------------------------------------------- Automated Human Health Monitoring Based on Computer Vision has gained rapid Automated Human Health Monitoring Based on Computer Vision has gained rapid scientific attention in the last decade, fueled by many research articles and commercial systems. Recently, the COVID-19 pandemic has pushed the need for virtual diagnosis and monitoring health protocols such as regulating social distancing, surveillance of individuals wearing masks in-crowd, gauging body temperature and other physiological measurements from distance. Consequently, researchers from computer vision, as well as from the medical science community have given significant attention to goals ranging from patient analysis and monitoring to diagnostics (e.g., for dementia, depression, healthcare, physiological measurement, rare neurologic diseases). Moreover, healthcare represents an area of broad economic, social, and scientific impact. The goal of this special session is to bring together researchers and practitioners working in this area of computer vision and medical science and to address a wide range of theoretical and practical issues related to real-life healthcare systems. We especially invite papers resulting from collaboration between technical and clinical experts. Hence, this FG Special Session represents a venue for fostering these collaborations, providing a unique and welcoming environment for transdisciplinary research that is sometimes labelled as being “too clinical” by technical journals or “too technical” by clinical journals. Topics of interest include, but are not limited to:  Health monitoring based on face analysis,  Health monitoring based on gesture analysis,  Health monitoring based corporeal-based visual features,  Depression analysis based on visual features,  Face analytics for human behaviour understanding,  Anxiety diagnosis based on face and gesture,  Physiological measurement employing face analytics,  Databases on health monitoring, e.g., depression analysis,  Augmentative and alternative communication,  Human-robot interaction,  Home healthcare,  Technology for cognition,  Automatic emotional hearing and understanding,  Visual attention and visual saliency,  Assistive living,  Privacy-preserving systems,  Quality of life technologies,  Mobile and wearable systems,  Applications for the visually impaired,  Sign language recognition and applications for hearing impaired,  Applications for the ageing society,  Personalized monitoring,  Egocentric and first-person vision,  Assessing physical and/or cognitive ability based on face and body movement analysis,  Orofacial assessment in clinical populations,  Hand function assessment in clinical populations,  Assessment of gait and/or balance,  Assistive technology,  Applications to improve health and wellbeing of children and elderly.

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International Association of Craniofacial Identification symposium July 2021
by Peter Hancock 28 Jun '21

28 Jun '21

INVITATION to the International Association of Craniofacial Identification (IACI) One-day Symposium - 23 July 2021 The IACI conference in Liverpool has been postponed to July 2022 due to the continued pandemic. However, we will be hosting a one-day online symposium as an IACI free taster event on 23 July 2021, 10am - 15:30pm BST. The theme of the event will be: 'Race and Face: bias in forensic and archaeological investigation' Keynote speakers will be: * Race and Forensic Investigation - Prof Amade M'Charek, University of Amsterdam * Race and Facial Recognition Algorithms - Dr Jonathon Phillips, National Institute of Standards and Technology's Information Technology Laboratory * Race and Super-recognisers - Dr Josh Davis, University of Greenwich * Race and Forensic Genetics - Dr David Skinner, Anglia Ruskin University * Historical ethnographic craniofacial collections - Dr Tobias Houlton, University of Dundee There will be an online poster event and the opportunity for some short presentations on any of the following topics: Facial identification of the dead * Facial reconstruction/approximation * Craniofacial anatomy * Craniofacial superimposition * Depiction of preserved remains for museum exhibition * Ethical issues relating to the presentation of faces of the dead * DNA analysis for facial depiction of skeletal remains * Migrant disaster victim identification * CGI and animation Facial identification of the living * Age progression * Eyewitness composites * DNA-to-face * Facial recognition * CCTV analysis * Facial morphing and deep fakes If you would like to present a short paper or poster at this symposium, please submit an abstract with your name and affiliation to facelab(a)ljmu.ac.uk<mailto:facelab@ljmu.ac.uk> by 1 July 2021. Details of how to access the symposium will be sent out at a later date. Please forward this to any interested parties. Dr Sarah Shrimpton BA (Hons), MSc, AFHEA, PhD Research Assistant, Face Lab IC1 Liverpool Science Park, 131 Mount Pleasant, Liverpool, L3 5TF tel: 0151 482 9609 (Direct) or 0151 482 9605 (Lab) email:s.l.shrimpton@ljmu.ac.uk<mailto:s.l.shrimpton@ljmu.ac.uk> ________________________________ Important Notice: Liverpool John Moores University was established as a Higher Education Corporation under section 121 of the Education Reform Act 1988. Further information about Liverpool John Moores University can be found at https://www.ljmu.ac.uk/about-us The information in this email and any attachments is for the sole use of the intended recipient(s). If you are not an intended recipient, or a person responsible for delivering it to an intended recipient, you should delete it from your system immediately without disclosing its contents elsewhere and advise the sender by returning the email or by telephoning a number contained in the body of the email. No responsibility is accepted for loss or damage arising from viruses or changes made to this message after it was sent and the recipient must ensure that the email (and attachments) are virus free. The views contained in this email are those of the author and not necessarily those of Liverpool John Moores University. We will use the personal data information provided by you to respond to your email. For information about how we process personal data and monitor communications please see our Privacy Notice. https://www.ljmu.ac.uk/legal/privacy-and-cookies ________________________________ The University achieved an overall 5 stars in the QS World University Rankings 2020 UK Sports University of the Year 2020 (Times Higher Good University Guide) The University of Stirling is a charity registered in Scotland, number SC 011159.

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Glasgow Face Matching Test 2 (GFMT2)
by David White 23 Jun '21

23 Jun '21

GLASGOW FACE MATCHING TEST 2 (GFMT2) A new psychometric test of face matching ability has been developed by UNSW Sydney and University of York and is freely available for scientific use. White, D., Guilbert, D., Varela, V.P.L. Renkins, R., & Burton, A. M. (2021). GFMT2: A psychometric measure of face matching ability. Behavior Research Methods. https://doi.org/10.3758/s13428-021-01638-x GFMT2 is a new expanded version of the original Glasgow Face Matching Test. Test forms include: GFMT2-S: A short 80 item test with test-retest reliability over a week r = 0.774. There are two equally difficult 40-item forms for use in experimental intervention studies. GFMT-Low: Specifically designed to target lower than average performers, suited for assessing acquired or developmental prosopagnosia. GFMT2-High: Specifically designed to target higher than average performers, suited for assessing super-recognisers and certain professional groups. Short tests do not contain repeating identities, nor items from the original GFMT. Image pairs now include variation in head angle, pose, expression and subject-to-camera distance, making the new test more difficult and more representative of challenges in everyday face identification tasks. The publication is available here: https://rdcu.be/cm1YR Executable versions of the test are available for PC and MAC via: www.gfmt2.org

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Postdoctoral position at NYU Abu Dhabi (High-level vision)
by Olivia Cheung 11 Jun '21

11 Jun '21

A postdoctoral researcher position is available immediately at the Objects and Knowledge Laboratory, headed by Dr. Olivia Cheung, at NYU Abu Dhabi ( http://www.oliviacheunglab.org/) The postdoctoral researcher will carry out experiments on high-level vision (object/face/letter/scene recognition) in humans using behavioral, fMRI, and computational methods. Potential research projects include, but are not limited to, investigations of the influences of experience and conceptual knowledge on visual recognition. Applicants must have a Ph.D. in Psychology, Cognitive Neuroscience, Cognitive Science, or a related field, and should possess strong programming skills (e.g., R, Matlab, Python). Prior experience with neuroimaging, computational, or psychophysical techniques is highly preferred. Initial appointment is for two years, with the possibility of renewal. Starting date is flexible, preferably by summer/early fall 2021. The Objects and Knowledge Laboratory is part of the rapidly growing Psychology department at NYU Abu Dhabi. The lab has access to the state-of-the-art neuroimaging and behavioral facilities (including MRI, MEG, eyetracking). The terms of employment are very competitive, including relocation and housing costs, and other benefits among which educational subsidies for children. Informal inquiries regarding the position, university, or area, are encouraged. To apply, individuals should email a curriculum vita, cover letter, statement of research interests, the expected date of availability, and contact information of two referees. All correspondence should be sent to Olivia Cheung (olivia.cheung(a)nyu.edu) The NYU Abu Dhabi campus is located on Saadiyat Island (Abu Dhabi’s cultural hub), minutes away from the white sand beaches as well as the world class entertainment, big city and nature activities that have made the area one of the top ten tourist destinations in the world. More information about living in Abu Dhabi can be found here: https://nyuad.nyu.edu/en/campus-life/living-in-abu-dhabi.html *About NYUAD:* NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYU Abu Dhabi serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

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Fully funded 3-year PhD studentship on Cross-Race Recognition
by Mansour, Jamal 18 May '21

18 May '21

Hello colleagues, I am recruiting a student for a fully funded, 3-year PhD studentship at Queen Margaret University, in collaboration with Edinburgh Napier University. The studentship will be supervised by me (Dr Jamal Mansour) at Queen Margaret University as well as Dr Alex McIntyre and Dr Faye Skelton of Edinburgh Napier University. The project is entitled "Reducing cross-race identification errors via the creation of a cross-race recognition training tool and a diagnostic test of cross-race recognition ability". For more information about the project, please see here: https://www.qmu.ac.uk/ad/napier-collaborative-phds. Potential applicants are encouraged to contact me via email (jmansour(a)qmu.ac.uk) to discuss the project. Applications are due by Wednesday, June 16, 2021 and should be submitted to the Queen Margaret University Graduate School. Details of how to apply can be found here: https://www.qmu.ac.uk/study-here/how-to-apply/phd-and-professional-doctorat…. Could I ask you to please do circulate this opportunity via your relevant networks and share it with any potential candidates? Very best wishes, Jamal. --------------------------------------------------------------------------------- Jamal K. Mansour, PhD Senior Lecturer in Psychology Psychology, Sociology, & Education Queen Margaret University Edinburgh, UK EH21 6UU Email: jmansour(a)qmu.ac.uk Phone: +44 (0) 131 474 0000 and say my name (Jam-el Man-sir) when prompted Fax: +44 (0) 131 474 0001 Web: https://www.qmu.ac.uk/schools-and-divisions/psychology-and-sociology/psycho… Memory Research Group Web site: https://memoryresearchgroup.wordpress.com/ Twitter: @EyewitnessIDUp Check out my new article on eyewitness identification confidence: https://www.sciencedirect.com/science/article/abs/pii/S2211368120300048 This message and its attachment(s) are intended for the addressee(s) only and should not be read, copied, disclosed, forwarded or relied upon by any person other than the intended addressee(s) without the permission of the sender. If you are not the intended addressee, you must not take any action based on this message and its attachment(s) nor must you copy or show them to anyone. If you have received this email in error, please inform the sender immediately and delete all copies of it. It is your responsibility to ensure that this message and its attachment(s) are scanned for viruses or other defects. Queen Margaret University does not accept liability for any loss or damage which may result from this message or its attachment(s), or for errors or omissions arising after it was sent. Email is not a secure medium. Email traffic entering Queen Margaret University's system is subject to routine monitoring and filtering by Queen Margaret University. Queen Margaret University, Edinburgh is a registered charity: Scottish Charity Number SC002750.

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